id sid tid token lemma pos schriner-data-2023 1 1 the the DET schriner-data-2023 1 2 code4lib code4lib PROPN schriner-data-2023 1 3 journal journal NOUN schriner-data-2023 1 4 – – PUNCT schriner-data-2023 1 5 data datum NOUN schriner-data-2023 1 6 preparation preparation NOUN schriner-data-2023 1 7 for for ADP schriner-data-2023 1 8 fairseq fairseq NOUN schriner-data-2023 1 9 and and CCONJ schriner-data-2023 1 10 machine machine NOUN schriner-data-2023 1 11 - - PUNCT schriner-data-2023 1 12 learning learning NOUN schriner-data-2023 1 13 using use VERB schriner-data-2023 1 14 a a DET schriner-data-2023 1 15 neural neural ADJ schriner-data-2023 1 16 network network NOUN schriner-data-2023 1 17 mission mission NOUN schriner-data-2023 1 18 editorial editorial PROPN schriner-data-2023 1 19 committee committee PROPN schriner-data-2023 1 20 process process NOUN schriner-data-2023 1 21 and and CCONJ schriner-data-2023 1 22 structure structure NOUN schriner-data-2023 1 23 code4lib code4lib NOUN schriner-data-2023 1 24 issue issue NOUN schriner-data-2023 1 25 55 55 NUM schriner-data-2023 1 26 , , PUNCT schriner-data-2023 1 27 2023 2023 NUM schriner-data-2023 1 28 - - SYM schriner-data-2023 1 29 1 1 NUM schriner-data-2023 1 30 - - SYM schriner-data-2023 1 31 20 20 NUM schriner-data-2023 1 32 data datum NOUN schriner-data-2023 1 33 preparation preparation NOUN schriner-data-2023 1 34 for for ADP schriner-data-2023 1 35 fairseq fairseq NOUN schriner-data-2023 1 36 and and CCONJ schriner-data-2023 1 37 machine machine NOUN schriner-data-2023 1 38 - - PUNCT schriner-data-2023 1 39 learning learning NOUN schriner-data-2023 1 40 using use VERB schriner-data-2023 1 41 a a DET schriner-data-2023 1 42 neural neural ADJ schriner-data-2023 1 43 network network NOUN schriner-data-2023 1 44 this this DET schriner-data-2023 1 45 article article NOUN schriner-data-2023 1 46 aims aim VERB schriner-data-2023 1 47 to to PART schriner-data-2023 1 48 demystify demystify VERB schriner-data-2023 1 49 data data NOUN schriner-data-2023 1 50 preparation preparation NOUN schriner-data-2023 1 51 and and CCONJ schriner-data-2023 1 52 machine machine NOUN schriner-data-2023 1 53 - - PUNCT schriner-data-2023 1 54 learning learn VERB schriner-data-2023 1 55 software software NOUN schriner-data-2023 1 56 for for ADP schriner-data-2023 1 57 sequence sequence NOUN schriner-data-2023 1 58 - - PUNCT schriner-data-2023 1 59 to to ADP schriner-data-2023 1 60 - - PUNCT schriner-data-2023 1 61 sequence sequence NOUN schriner-data-2023 1 62 models model NOUN schriner-data-2023 1 63 in in ADP schriner-data-2023 1 64 the the DET schriner-data-2023 1 65 field field NOUN schriner-data-2023 1 66 of of ADP schriner-data-2023 1 67 computational computational ADJ schriner-data-2023 1 68 linguistics linguistic NOUN schriner-data-2023 1 69 . . PUNCT schriner-data-2023 2 1 the the DET schriner-data-2023 2 2 tools tool NOUN schriner-data-2023 2 3 , , PUNCT schriner-data-2023 2 4 however however ADV schriner-data-2023 2 5 , , PUNCT schriner-data-2023 2 6 may may AUX schriner-data-2023 2 7 be be AUX schriner-data-2023 2 8 used use VERB schriner-data-2023 2 9 in in ADP schriner-data-2023 2 10 many many ADJ schriner-data-2023 2 11 different different ADJ schriner-data-2023 2 12 applications application NOUN schriner-data-2023 2 13 . . PUNCT schriner-data-2023 3 1 in in ADP schriner-data-2023 3 2 this this DET schriner-data-2023 3 3 article article NOUN schriner-data-2023 3 4 we we PRON schriner-data-2023 3 5 detail detail VERB schriner-data-2023 3 6 what what PRON schriner-data-2023 3 7 sequence sequence NOUN schriner-data-2023 3 8 - - PUNCT schriner-data-2023 3 9 to to ADP schriner-data-2023 3 10 - - PUNCT schriner-data-2023 3 11 sequence sequence NOUN schriner-data-2023 3 12 learning learning NOUN schriner-data-2023 3 13 looks look VERB schriner-data-2023 3 14 like like ADP schriner-data-2023 3 15 using use VERB schriner-data-2023 3 16 code code NOUN schriner-data-2023 3 17 and and CCONJ schriner-data-2023 3 18 results result NOUN schriner-data-2023 3 19 from from ADP schriner-data-2023 3 20 different different ADJ schriner-data-2023 3 21 projects project NOUN schriner-data-2023 3 22 : : PUNCT schriner-data-2023 3 23 predicting predict VERB schriner-data-2023 3 24 pronunciation pronunciation NOUN schriner-data-2023 3 25 in in ADP schriner-data-2023 3 26 esperanto esperanto PROPN schriner-data-2023 3 27 , , PUNCT schriner-data-2023 3 28 predicting predict VERB schriner-data-2023 3 29 the the DET schriner-data-2023 3 30 placement placement NOUN schriner-data-2023 3 31 of of ADP schriner-data-2023 3 32 stress stress NOUN schriner-data-2023 3 33 in in ADP schriner-data-2023 3 34 russian russian PROPN schriner-data-2023 3 35 , , PUNCT schriner-data-2023 3 36 and and CCONJ schriner-data-2023 3 37 how how SCONJ schriner-data-2023 3 38 open open ADJ schriner-data-2023 3 39 data datum NOUN schriner-data-2023 3 40 like like ADP schriner-data-2023 3 41 wikipron wikipron PROPN schriner-data-2023 3 42 ( ( PUNCT schriner-data-2023 3 43 mined mined ADJ schriner-data-2023 3 44 pronunciation pronunciation NOUN schriner-data-2023 3 45 data datum NOUN schriner-data-2023 3 46 from from ADP schriner-data-2023 3 47 wiktionary wiktionary NOUN schriner-data-2023 3 48 ) ) PUNCT schriner-data-2023 3 49 makes make VERB schriner-data-2023 3 50 projects project NOUN schriner-data-2023 3 51 like like ADP schriner-data-2023 3 52 these these PRON schriner-data-2023 3 53 possible possible ADJ schriner-data-2023 3 54 . . PUNCT schriner-data-2023 4 1 with with ADP schriner-data-2023 4 2 scraped scrape VERB schriner-data-2023 4 3 data datum NOUN schriner-data-2023 4 4 , , PUNCT schriner-data-2023 4 5 projects project NOUN schriner-data-2023 4 6 can can AUX schriner-data-2023 4 7 be be AUX schriner-data-2023 4 8 started start VERB schriner-data-2023 4 9 in in ADP schriner-data-2023 4 10 automatic automatic ADJ schriner-data-2023 4 11 speech speech NOUN schriner-data-2023 4 12 recognition recognition NOUN schriner-data-2023 4 13 , , PUNCT schriner-data-2023 4 14 text text NOUN schriner-data-2023 4 15 - - PUNCT schriner-data-2023 4 16 to to ADP schriner-data-2023 4 17 - - PUNCT schriner-data-2023 4 18 speech speech NOUN schriner-data-2023 4 19 tasks task NOUN schriner-data-2023 4 20 , , PUNCT schriner-data-2023 4 21 and and CCONJ schriner-data-2023 4 22 computer computer NOUN schriner-data-2023 4 23 - - PUNCT schriner-data-2023 4 24 assisted assist VERB schriner-data-2023 4 25 language language NOUN schriner-data-2023 4 26 - - PUNCT schriner-data-2023 4 27 learning learning NOUN schriner-data-2023 4 28 for for ADP schriner-data-2023 4 29 under under NOUN schriner-data-2023 4 30 - - PUNCT schriner-data-2023 4 31 resourced resourced NOUN schriner-data-2023 4 32 and and CCONJ schriner-data-2023 4 33 under under ADV schriner-data-2023 4 34 - - PUNCT schriner-data-2023 4 35 researched research VERB schriner-data-2023 4 36 languages language NOUN schriner-data-2023 4 37 . . PUNCT schriner-data-2023 5 1 we we PRON schriner-data-2023 5 2 will will AUX schriner-data-2023 5 3 explain explain VERB schriner-data-2023 5 4 why why SCONJ schriner-data-2023 5 5 and and CCONJ schriner-data-2023 5 6 how how SCONJ schriner-data-2023 5 7 datasets dataset NOUN schriner-data-2023 5 8 are be AUX schriner-data-2023 5 9 split split VERB schriner-data-2023 5 10 into into ADP schriner-data-2023 5 11 training training NOUN schriner-data-2023 5 12 , , PUNCT schriner-data-2023 5 13 development development NOUN schriner-data-2023 5 14 , , PUNCT schriner-data-2023 5 15 and and CCONJ schriner-data-2023 5 16 test test NOUN schriner-data-2023 5 17 sets set NOUN schriner-data-2023 5 18 . . PUNCT schriner-data-2023 6 1 the the DET schriner-data-2023 6 2 article article NOUN schriner-data-2023 6 3 will will AUX schriner-data-2023 6 4 discuss discuss VERB schriner-data-2023 6 5 how how SCONJ schriner-data-2023 6 6 to to PART schriner-data-2023 6 7 add add VERB schriner-data-2023 6 8 features feature NOUN schriner-data-2023 6 9 ( ( PUNCT schriner-data-2023 6 10 i.e. i.e. X schriner-data-2023 6 11 properties property NOUN schriner-data-2023 6 12 of of ADP schriner-data-2023 6 13 the the DET schriner-data-2023 6 14 target target NOUN schriner-data-2023 6 15 word word NOUN schriner-data-2023 6 16 that that PRON schriner-data-2023 6 17 may may AUX schriner-data-2023 6 18 or or CCONJ schriner-data-2023 6 19 may may AUX schriner-data-2023 6 20 not not PART schriner-data-2023 6 21 help help VERB schriner-data-2023 6 22 in in ADP schriner-data-2023 6 23 prediction prediction NOUN schriner-data-2023 6 24 ) ) PUNCT schriner-data-2023 6 25 . . PUNCT schriner-data-2023 7 1 by by ADP schriner-data-2023 7 2 scaffolding scaffold VERB schriner-data-2023 7 3 the the DET schriner-data-2023 7 4 tasks task NOUN schriner-data-2023 7 5 and and CCONJ schriner-data-2023 7 6 using use VERB schriner-data-2023 7 7 code code NOUN schriner-data-2023 7 8 and and CCONJ schriner-data-2023 7 9 results result NOUN schriner-data-2023 7 10 from from ADP schriner-data-2023 7 11 these these DET schriner-data-2023 7 12 projects project NOUN schriner-data-2023 7 13 , , PUNCT schriner-data-2023 7 14 it it PRON schriner-data-2023 7 15 ’s ’ VERB schriner-data-2023 7 16 our our PRON schriner-data-2023 7 17 hope hope NOUN schriner-data-2023 7 18 that that SCONJ schriner-data-2023 7 19 the the DET schriner-data-2023 7 20 article article NOUN schriner-data-2023 7 21 will will AUX schriner-data-2023 7 22 demystify demystify VERB schriner-data-2023 7 23 some some PRON schriner-data-2023 7 24 of of ADP schriner-data-2023 7 25 the the DET schriner-data-2023 7 26 technical technical ADJ schriner-data-2023 7 27 jargon jargon PROPN schriner-data-2023 7 28 and and CCONJ schriner-data-2023 7 29 methods method NOUN schriner-data-2023 7 30 . . PUNCT schriner-data-2023 8 1 by by ADP schriner-data-2023 8 2 john john PROPN schriner-data-2023 8 3 schriner schriner PROPN schriner-data-2023 8 4 introduction introduction NOUN schriner-data-2023 8 5 there there PRON schriner-data-2023 8 6 are be VERB schriner-data-2023 8 7 many many ADJ schriner-data-2023 8 8 tools tool NOUN schriner-data-2023 8 9 in in ADP schriner-data-2023 8 10 the the DET schriner-data-2023 8 11 field field NOUN schriner-data-2023 8 12 of of ADP schriner-data-2023 8 13 natural natural ADJ schriner-data-2023 8 14 language language NOUN schriner-data-2023 8 15 processing processing NOUN schriner-data-2023 8 16 ( ( PUNCT schriner-data-2023 8 17 nlp nlp PROPN schriner-data-2023 8 18 ) ) PUNCT schriner-data-2023 8 19 and and CCONJ schriner-data-2023 8 20 computational computational ADJ schriner-data-2023 8 21 linguistics linguistic NOUN schriner-data-2023 8 22 that that SCONJ schriner-data-2023 8 23 : : PUNCT schriner-data-2023 8 24 help help VERB schriner-data-2023 8 25 us we PRON schriner-data-2023 8 26 to to PART schriner-data-2023 8 27 understand understand VERB schriner-data-2023 8 28 language language NOUN schriner-data-2023 8 29 better well ADV schriner-data-2023 8 30 ; ; PUNCT schriner-data-2023 8 31 find find VERB schriner-data-2023 8 32 patterns pattern NOUN schriner-data-2023 8 33 that that SCONJ schriner-data-2023 8 34 we we PRON schriner-data-2023 8 35 can can AUX schriner-data-2023 8 36 not not PART schriner-data-2023 8 37 perceive perceive VERB schriner-data-2023 8 38 ; ; PUNCT schriner-data-2023 8 39 find find VERB schriner-data-2023 8 40 word word NOUN schriner-data-2023 8 41 collocation collocation NOUN schriner-data-2023 8 42 ( ( PUNCT schriner-data-2023 8 43 i.e. i.e. X schriner-data-2023 8 44 when when SCONJ schriner-data-2023 8 45 words word NOUN schriner-data-2023 8 46 are be AUX schriner-data-2023 8 47 commonly commonly ADV schriner-data-2023 8 48 near near ADP schriner-data-2023 8 49 other other ADJ schriner-data-2023 8 50 words word NOUN schriner-data-2023 8 51 ) ) PUNCT schriner-data-2023 8 52 ; ; PUNCT schriner-data-2023 8 53 improve improve VERB schriner-data-2023 8 54 text text NOUN schriner-data-2023 8 55 - - PUNCT schriner-data-2023 8 56 to to ADP schriner-data-2023 8 57 - - PUNCT schriner-data-2023 8 58 speech speech NOUN schriner-data-2023 8 59 ; ; PUNCT schriner-data-2023 8 60 perform perform VERB schriner-data-2023 8 61 text text NOUN schriner-data-2023 8 62 summarization summarization NOUN schriner-data-2023 8 63 ; ; PUNCT schriner-data-2023 8 64 perform perform VERB schriner-data-2023 8 65 information information NOUN schriner-data-2023 8 66 extraction extraction NOUN schriner-data-2023 8 67 ; ; PUNCT schriner-data-2023 8 68 provide provide VERB schriner-data-2023 8 69 sentiment sentiment NOUN schriner-data-2023 8 70 analysis analysis NOUN schriner-data-2023 8 71 ; ; PUNCT schriner-data-2023 8 72 and and CCONJ schriner-data-2023 8 73 perform perform VERB schriner-data-2023 8 74 machine machine NOUN schriner-data-2023 8 75 - - PUNCT schriner-data-2023 8 76 translation translation NOUN schriner-data-2023 8 77 . . PUNCT schriner-data-2023 9 1 some some PRON schriner-data-2023 9 2 of of ADP schriner-data-2023 9 3 these these DET schriner-data-2023 9 4 tools tool NOUN schriner-data-2023 9 5 are be AUX schriner-data-2023 9 6 the the DET schriner-data-2023 9 7 user user NOUN schriner-data-2023 9 8 - - PUNCT schriner-data-2023 9 9 friendly friendly ADJ schriner-data-2023 9 10 web web NOUN schriner-data-2023 9 11 - - PUNCT schriner-data-2023 9 12 based base VERB schriner-data-2023 9 13 voyant voyant NOUN schriner-data-2023 9 14 tools,[1 tools,[1 PROPN schriner-data-2023 9 15 ] ] PUNCT schriner-data-2023 9 16 the the DET schriner-data-2023 9 17 python python PROPN schriner-data-2023 9 18 software software NOUN schriner-data-2023 9 19 platform platform NOUN schriner-data-2023 9 20 natural natural ADJ schriner-data-2023 9 21 language language NOUN schriner-data-2023 9 22 toolkit toolkit NOUN schriner-data-2023 9 23 ( ( PUNCT schriner-data-2023 9 24 nltk),[2 nltk),[2 NOUN schriner-data-2023 9 25 ] ] PUNCT schriner-data-2023 9 26 and and CCONJ schriner-data-2023 9 27 praat[3 praat[3 X schriner-data-2023 9 28 ] ] X schriner-data-2023 9 29 phonetic phonetic ADJ schriner-data-2023 9 30 software software NOUN schriner-data-2023 9 31 for for ADP schriner-data-2023 9 32 examining examine VERB schriner-data-2023 9 33 sound sound NOUN schriner-data-2023 9 34 . . PUNCT schriner-data-2023 10 1 the the DET schriner-data-2023 10 2 nlp nlp PROPN schriner-data-2023 10 3 tool tool NOUN schriner-data-2023 10 4 linguistic linguistic ADJ schriner-data-2023 10 5 inquiry inquiry NOUN schriner-data-2023 10 6 and and CCONJ schriner-data-2023 10 7 word word NOUN schriner-data-2023 10 8 count count NOUN schriner-data-2023 10 9 ( ( PUNCT schriner-data-2023 10 10 liwc)[4 liwc)[4 X schriner-data-2023 10 11 ] ] PUNCT schriner-data-2023 10 12 is be AUX schriner-data-2023 10 13 a a DET schriner-data-2023 10 14 psycholinguistic psycholinguistic ADJ schriner-data-2023 10 15 black black NOUN schriner-data-2023 10 16 - - PUNCT schriner-data-2023 10 17 box[5 box[5 NOUN schriner-data-2023 10 18 ] ] PUNCT schriner-data-2023 10 19 tool tool NOUN schriner-data-2023 10 20 that that PRON schriner-data-2023 10 21 can can AUX schriner-data-2023 10 22 provide provide VERB schriner-data-2023 10 23 sentiment sentiment NOUN schriner-data-2023 10 24 analysis analysis NOUN schriner-data-2023 10 25 , , PUNCT schriner-data-2023 10 26 language language NOUN schriner-data-2023 10 27 style style NOUN schriner-data-2023 10 28 matching matching NOUN schriner-data-2023 10 29 , , PUNCT schriner-data-2023 10 30 and and CCONJ schriner-data-2023 10 31 many many ADJ schriner-data-2023 10 32 other other ADJ schriner-data-2023 10 33 metrics metric NOUN schriner-data-2023 10 34 using use VERB schriner-data-2023 10 35 over over ADP schriner-data-2023 10 36 100 100 NUM schriner-data-2023 10 37 dimensions dimension NOUN schriner-data-2023 10 38 of of ADP schriner-data-2023 10 39 text text NOUN schriner-data-2023 10 40 . . PUNCT schriner-data-2023 11 1 liwc liwc PROPN schriner-data-2023 11 2 has have AUX schriner-data-2023 11 3 been be AUX schriner-data-2023 11 4 widely widely ADV schriner-data-2023 11 5 used use VERB schriner-data-2023 11 6 for for ADP schriner-data-2023 11 7 decades decade NOUN schriner-data-2023 11 8 , , PUNCT schriner-data-2023 11 9 is be AUX schriner-data-2023 11 10 dictionary dictionary PROPN schriner-data-2023 11 11 - - PUNCT schriner-data-2023 11 12 based base VERB schriner-data-2023 11 13 , , PUNCT schriner-data-2023 11 14 and and CCONJ schriner-data-2023 11 15 does do AUX schriner-data-2023 11 16 not not PART schriner-data-2023 11 17 involve involve VERB schriner-data-2023 11 18 machine machine NOUN schriner-data-2023 11 19 learning learning NOUN schriner-data-2023 11 20 . . PUNCT schriner-data-2023 12 1 although although SCONJ schriner-data-2023 12 2 we we PRON schriner-data-2023 12 3 may may AUX schriner-data-2023 12 4 not not PART schriner-data-2023 12 5 see see VERB schriner-data-2023 12 6 a a DET schriner-data-2023 12 7 lot lot NOUN schriner-data-2023 12 8 of of ADP schriner-data-2023 12 9 conspicuous conspicuous ADJ schriner-data-2023 12 10 use use NOUN schriner-data-2023 12 11 of of ADP schriner-data-2023 12 12 machine machine NOUN schriner-data-2023 12 13 - - PUNCT schriner-data-2023 12 14 learning learning NOUN schriner-data-2023 12 15 in in ADP schriner-data-2023 12 16 libraries library NOUN schriner-data-2023 12 17 at at ADP schriner-data-2023 12 18 present present NOUN schriner-data-2023 12 19 , , PUNCT schriner-data-2023 12 20 any any DET schriner-data-2023 12 21 project project NOUN schriner-data-2023 12 22 in in ADP schriner-data-2023 12 23 library library NOUN schriner-data-2023 12 24 and and CCONJ schriner-data-2023 12 25 information information NOUN schriner-data-2023 12 26 science science NOUN schriner-data-2023 12 27 that that PRON schriner-data-2023 12 28 uses use VERB schriner-data-2023 12 29 an an DET schriner-data-2023 12 30 input input NOUN schriner-data-2023 12 31 sequence sequence NOUN schriner-data-2023 12 32 to to PART schriner-data-2023 12 33 map map VERB schriner-data-2023 12 34 to to ADP schriner-data-2023 12 35 an an DET schriner-data-2023 12 36 output output NOUN schriner-data-2023 12 37 sequence sequence NOUN schriner-data-2023 12 38 could could AUX schriner-data-2023 12 39 be be AUX schriner-data-2023 12 40 improved improve VERB schriner-data-2023 12 41 with with ADP schriner-data-2023 12 42 this this DET schriner-data-2023 12 43 technology technology NOUN schriner-data-2023 12 44 ; ; PUNCT schriner-data-2023 12 45 indeed indeed ADV schriner-data-2023 12 46 , , PUNCT schriner-data-2023 12 47 our our PRON schriner-data-2023 12 48 discovery discovery NOUN schriner-data-2023 12 49 services service NOUN schriner-data-2023 12 50 and and CCONJ schriner-data-2023 12 51 search search NOUN schriner-data-2023 12 52 engines engine NOUN schriner-data-2023 12 53 embrace embrace VERB schriner-data-2023 12 54 techniques technique NOUN schriner-data-2023 12 55 identified identify VERB schriner-data-2023 12 56 in in ADP schriner-data-2023 12 57 1995 1995 NUM schriner-data-2023 12 58 that that PRON schriner-data-2023 12 59 can can AUX schriner-data-2023 12 60 “ " PUNCT schriner-data-2023 12 61 analyze analyze VERB schriner-data-2023 12 62 user user NOUN schriner-data-2023 12 63 queries query NOUN schriner-data-2023 12 64 , , PUNCT schriner-data-2023 12 65 identify identify VERB schriner-data-2023 12 66 users user NOUN schriner-data-2023 12 67 ’ ’ PART schriner-data-2023 12 68 information information NOUN schriner-data-2023 12 69 needs need NOUN schriner-data-2023 12 70 , , PUNCT schriner-data-2023 12 71 and and CCONJ schriner-data-2023 12 72 suggest suggest VERB schriner-data-2023 12 73 alternatives alternative NOUN schriner-data-2023 12 74 for for ADP schriner-data-2023 12 75 search search NOUN schriner-data-2023 12 76 ” " PUNCT schriner-data-2023 12 77 ( ( PUNCT schriner-data-2023 12 78 chen chen PROPN schriner-data-2023 12 79 , , PUNCT schriner-data-2023 12 80 1995 1995 NUM schriner-data-2023 12 81 , , PUNCT schriner-data-2023 12 82 p. p. NOUN schriner-data-2023 12 83 1 1 NUM schriner-data-2023 12 84 ) ) PUNCT schriner-data-2023 12 85 . . PUNCT schriner-data-2023 13 1 moving move VERB schriner-data-2023 13 2 to to ADP schriner-data-2023 13 3 the the DET schriner-data-2023 13 4 present present ADJ schriner-data-2023 13 5 day day NOUN schriner-data-2023 13 6 , , PUNCT schriner-data-2023 13 7 in in ADP schriner-data-2023 13 8 zhu zhu PROPN schriner-data-2023 13 9 & & CCONJ schriner-data-2023 13 10 lei lei PROPN schriner-data-2023 13 11 ( ( PUNCT schriner-data-2023 13 12 2022 2022 NUM schriner-data-2023 13 13 ) ) PUNCT schriner-data-2023 13 14 we we PRON schriner-data-2023 13 15 see see VERB schriner-data-2023 13 16 machine machine NOUN schriner-data-2023 13 17 - - PUNCT schriner-data-2023 13 18 learning learn VERB schriner-data-2023 13 19 being be AUX schriner-data-2023 13 20 used use VERB schriner-data-2023 13 21 in in ADP schriner-data-2023 13 22 classification classification NOUN schriner-data-2023 13 23 of of ADP schriner-data-2023 13 24 research research NOUN schriner-data-2023 13 25 topics topic NOUN schriner-data-2023 13 26 in in ADP schriner-data-2023 13 27 covid-19 covid-19 PROPN schriner-data-2023 13 28 research research NOUN schriner-data-2023 13 29 . . PUNCT schriner-data-2023 14 1 they they PRON schriner-data-2023 14 2 extract extract VERB schriner-data-2023 14 3 noun noun NOUN schriner-data-2023 14 4 phrases phrase NOUN schriner-data-2023 14 5 from from ADP schriner-data-2023 14 6 an an DET schriner-data-2023 14 7 experimental experimental ADJ schriner-data-2023 14 8 corpus corpu NOUN schriner-data-2023 14 9 of of ADP schriner-data-2023 14 10 full full ADJ schriner-data-2023 14 11 text text NOUN schriner-data-2023 14 12 articles article NOUN schriner-data-2023 14 13 indexed index VERB schriner-data-2023 14 14 in in ADP schriner-data-2023 14 15 web web NOUN schriner-data-2023 14 16 of of ADP schriner-data-2023 14 17 science science NOUN schriner-data-2023 14 18 . . PUNCT schriner-data-2023 15 1 these these DET schriner-data-2023 15 2 noun noun NOUN schriner-data-2023 15 3 phrases phrase NOUN schriner-data-2023 15 4 numbered number VERB schriner-data-2023 15 5 19,240 19,240 NUM schriner-data-2023 15 6 with with ADP schriner-data-2023 15 7 a a DET schriner-data-2023 15 8 minimum minimum ADJ schriner-data-2023 15 9 frequency frequency NOUN schriner-data-2023 15 10 of of ADP schriner-data-2023 15 11 10 10 NUM schriner-data-2023 15 12 per per ADP schriner-data-2023 15 13 million million NUM schriner-data-2023 15 14 words word NOUN schriner-data-2023 15 15 . . PUNCT schriner-data-2023 16 1 zhu zhu PROPN schriner-data-2023 16 2 & & CCONJ schriner-data-2023 16 3 lei lei PROPN schriner-data-2023 16 4 ( ( PUNCT schriner-data-2023 16 5 2022 2022 NUM schriner-data-2023 16 6 ) ) PUNCT schriner-data-2023 16 7 identify identify VERB schriner-data-2023 16 8 research research NOUN schriner-data-2023 16 9 topics topic NOUN schriner-data-2023 16 10 whose whose DET schriner-data-2023 16 11 subject subject NOUN schriner-data-2023 16 12 matter matter NOUN schriner-data-2023 16 13 was be AUX schriner-data-2023 16 14 increasing increase VERB schriner-data-2023 16 15 ; ; PUNCT schriner-data-2023 16 16 these these PRON schriner-data-2023 16 17 are be AUX schriner-data-2023 16 18 labeled label VERB schriner-data-2023 16 19 hot hot ADJ schriner-data-2023 16 20 topics topic NOUN schriner-data-2023 16 21 and and CCONJ schriner-data-2023 16 22 categorized categorize VERB schriner-data-2023 16 23 into into ADP schriner-data-2023 16 24 larger large ADJ schriner-data-2023 16 25 categories category NOUN schriner-data-2023 16 26 such such ADJ schriner-data-2023 16 27 as as ADP schriner-data-2023 16 28 biochemical biochemical ADJ schriner-data-2023 16 29 terms term NOUN schriner-data-2023 16 30 , , PUNCT schriner-data-2023 16 31 public public ADJ schriner-data-2023 16 32 health health NOUN schriner-data-2023 16 33 measures measure NOUN schriner-data-2023 16 34 , , PUNCT schriner-data-2023 16 35 symptoms symptom NOUN schriner-data-2023 16 36 and and CCONJ schriner-data-2023 16 37 diseases disease NOUN schriner-data-2023 16 38 , , PUNCT schriner-data-2023 16 39 etc etc X schriner-data-2023 16 40 . . X schriner-data-2023 17 1 their their PRON schriner-data-2023 17 2 methods method NOUN schriner-data-2023 17 3 are be AUX schriner-data-2023 17 4 robust robust ADJ schriner-data-2023 17 5 and and CCONJ schriner-data-2023 17 6 they they PRON schriner-data-2023 17 7 work work VERB schriner-data-2023 17 8 with with ADP schriner-data-2023 17 9 six six NUM schriner-data-2023 17 10 different different ADJ schriner-data-2023 17 11 classification classification NOUN schriner-data-2023 17 12 models model NOUN schriner-data-2023 17 13 , , PUNCT schriner-data-2023 17 14 finding find VERB schriner-data-2023 17 15 that that SCONJ schriner-data-2023 17 16 a a DET schriner-data-2023 17 17 random random ADJ schriner-data-2023 17 18 forest forest NOUN schriner-data-2023 17 19 classifier[6 classifier[6 SPACE schriner-data-2023 17 20 ] ] PUNCT schriner-data-2023 17 21 yields yield VERB schriner-data-2023 17 22 the the DET schriner-data-2023 17 23 best good ADJ schriner-data-2023 17 24 results result NOUN schriner-data-2023 17 25 . . PUNCT schriner-data-2023 18 1 in in ADP schriner-data-2023 18 2 a a DET schriner-data-2023 18 3 similar similar ADJ schriner-data-2023 18 4 vein vein NOUN schriner-data-2023 18 5 and and CCONJ schriner-data-2023 18 6 apropos apropos NOUN schriner-data-2023 18 7 to to ADP schriner-data-2023 18 8 information information NOUN schriner-data-2023 18 9 literacy literacy NOUN schriner-data-2023 18 10 , , PUNCT schriner-data-2023 18 11 sanaullah sanaullah PROPN schriner-data-2023 18 12 et et PROPN schriner-data-2023 18 13 al al PROPN schriner-data-2023 18 14 . . PUNCT schriner-data-2023 18 15 ( ( PUNCT schriner-data-2023 18 16 2022 2022 NUM schriner-data-2023 18 17 ) ) PUNCT schriner-data-2023 18 18 offers offer VERB schriner-data-2023 18 19 a a DET schriner-data-2023 18 20 systematic systematic ADJ schriner-data-2023 18 21 review review NOUN schriner-data-2023 18 22 of of ADP schriner-data-2023 18 23 covid-19 covid-19 PROPN schriner-data-2023 18 24 misinformation misinformation NOUN schriner-data-2023 18 25 research research NOUN schriner-data-2023 18 26 involving involve VERB schriner-data-2023 18 27 machine machine NOUN schriner-data-2023 18 28 - - PUNCT schriner-data-2023 18 29 learning learning NOUN schriner-data-2023 18 30 and and CCONJ schriner-data-2023 18 31 deep deep ADJ schriner-data-2023 18 32 learning learning NOUN schriner-data-2023 18 33 . . PUNCT schriner-data-2023 19 1 in in ADP schriner-data-2023 19 2 their their PRON schriner-data-2023 19 3 review review NOUN schriner-data-2023 19 4 they they PRON schriner-data-2023 19 5 selected select VERB schriner-data-2023 19 6 43 43 NUM schriner-data-2023 19 7 research research NOUN schriner-data-2023 19 8 articles article NOUN schriner-data-2023 19 9 and and CCONJ schriner-data-2023 19 10 categorized categorize VERB schriner-data-2023 19 11 them they PRON schriner-data-2023 19 12 into into ADP schriner-data-2023 19 13 misinformation misinformation NOUN schriner-data-2023 19 14 types type NOUN schriner-data-2023 19 15 : : PUNCT schriner-data-2023 19 16 fake fake ADJ schriner-data-2023 19 17 news news NOUN schriner-data-2023 19 18 , , PUNCT schriner-data-2023 19 19 conspiracy conspiracy NOUN schriner-data-2023 19 20 theory theory NOUN schriner-data-2023 19 21 , , PUNCT schriner-data-2023 19 22 rumor rumor NOUN schriner-data-2023 19 23 , , PUNCT schriner-data-2023 19 24 misleading mislead VERB schriner-data-2023 19 25 information information NOUN schriner-data-2023 19 26 , , PUNCT schriner-data-2023 19 27 and and CCONJ schriner-data-2023 19 28 disinformation disinformation NOUN schriner-data-2023 19 29 ( ( PUNCT schriner-data-2023 19 30 deceptive deceptive ADJ schriner-data-2023 19 31 information information NOUN schriner-data-2023 19 32 , , PUNCT schriner-data-2023 19 33 as as SCONJ schriner-data-2023 19 34 opposed oppose VERB schriner-data-2023 19 35 to to PART schriner-data-2023 19 36 inaccurate inaccurate VERB schriner-data-2023 19 37 in in ADP schriner-data-2023 19 38 the the DET schriner-data-2023 19 39 case case NOUN schriner-data-2023 19 40 of of ADP schriner-data-2023 19 41 misinformation misinformation NOUN schriner-data-2023 19 42 ) ) PUNCT schriner-data-2023 19 43 ( ( PUNCT schriner-data-2023 19 44 sanaullah sanaullah PROPN schriner-data-2023 19 45 et et PROPN schriner-data-2023 19 46 al al PROPN schriner-data-2023 19 47 . . PROPN schriner-data-2023 19 48 , , PUNCT schriner-data-2023 19 49 2022 2022 NUM schriner-data-2023 19 50 ) ) PUNCT schriner-data-2023 19 51 . . PUNCT schriner-data-2023 20 1 after after ADP schriner-data-2023 20 2 a a DET schriner-data-2023 20 3 thorough thorough ADJ schriner-data-2023 20 4 discussion discussion NOUN schriner-data-2023 20 5 of of ADP schriner-data-2023 20 6 methods method NOUN schriner-data-2023 20 7 , , PUNCT schriner-data-2023 20 8 this this DET schriner-data-2023 20 9 survey survey NOUN schriner-data-2023 20 10 finds find VERB schriner-data-2023 20 11 that that SCONJ schriner-data-2023 20 12 deep deep ADV schriner-data-2023 20 13 - - PUNCT schriner-data-2023 20 14 learning learn VERB schriner-data-2023 20 15 methods method NOUN schriner-data-2023 20 16 are be AUX schriner-data-2023 20 17 more more ADV schriner-data-2023 20 18 efficacious efficacious ADJ schriner-data-2023 20 19 than than ADP schriner-data-2023 20 20 traditional traditional ADJ schriner-data-2023 20 21 machine machine NOUN schriner-data-2023 20 22 - - PUNCT schriner-data-2023 20 23 learning learn VERB schriner-data-2023 20 24 methods method NOUN schriner-data-2023 20 25 . . PUNCT schriner-data-2023 21 1 with with ADP schriner-data-2023 21 2 known know VERB schriner-data-2023 21 3 datasets dataset NOUN schriner-data-2023 21 4 , , PUNCT schriner-data-2023 21 5 or or CCONJ schriner-data-2023 21 6 datasets dataset NOUN schriner-data-2023 21 7 created create VERB schriner-data-2023 21 8 from from ADP schriner-data-2023 21 9 scraped scrape VERB schriner-data-2023 21 10 web web NOUN schriner-data-2023 21 11 data datum NOUN schriner-data-2023 21 12 , , PUNCT schriner-data-2023 21 13 we we PRON schriner-data-2023 21 14 can can AUX schriner-data-2023 21 15 use use VERB schriner-data-2023 21 16 modern modern ADJ schriner-data-2023 21 17 machine machine NOUN schriner-data-2023 21 18 - - PUNCT schriner-data-2023 21 19 learning learn VERB schriner-data-2023 21 20 tools tool NOUN schriner-data-2023 21 21 for for ADP schriner-data-2023 21 22 any any DET schriner-data-2023 21 23 number number NOUN schriner-data-2023 21 24 of of ADP schriner-data-2023 21 25 projects project NOUN schriner-data-2023 21 26 in in ADP schriner-data-2023 21 27 different different ADJ schriner-data-2023 21 28 subfields subfield NOUN schriner-data-2023 21 29 of of ADP schriner-data-2023 21 30 linguistics linguistic NOUN schriner-data-2023 21 31 like like ADP schriner-data-2023 21 32 phonology phonology NOUN schriner-data-2023 21 33 ( ( PUNCT schriner-data-2023 21 34 the the DET schriner-data-2023 21 35 study study NOUN schriner-data-2023 21 36 of of ADP schriner-data-2023 21 37 linguistic linguistic ADJ schriner-data-2023 21 38 sound sound NOUN schriner-data-2023 21 39 ) ) PUNCT schriner-data-2023 21 40 , , PUNCT schriner-data-2023 21 41 morphology morphology NOUN schriner-data-2023 21 42 ( ( PUNCT schriner-data-2023 21 43 the the DET schriner-data-2023 21 44 study study NOUN schriner-data-2023 21 45 of of ADP schriner-data-2023 21 46 words word NOUN schriner-data-2023 21 47 and and CCONJ schriner-data-2023 21 48 how how SCONJ schriner-data-2023 21 49 they they PRON schriner-data-2023 21 50 are be AUX schriner-data-2023 21 51 formed form VERB schriner-data-2023 21 52 and and CCONJ schriner-data-2023 21 53 used use VERB schriner-data-2023 21 54 together together ADV schriner-data-2023 21 55 ) ) PUNCT schriner-data-2023 21 56 , , PUNCT schriner-data-2023 21 57 and and CCONJ schriner-data-2023 21 58 even even ADV schriner-data-2023 21 59 historical historical ADJ schriner-data-2023 21 60 linguistics linguistic NOUN schriner-data-2023 21 61 ( ( PUNCT schriner-data-2023 21 62 the the DET schriner-data-2023 21 63 study study NOUN schriner-data-2023 21 64 of of ADP schriner-data-2023 21 65 languages language NOUN schriner-data-2023 21 66 over over ADP schriner-data-2023 21 67 time time NOUN schriner-data-2023 21 68 , , PUNCT schriner-data-2023 21 69 including include VERB schriner-data-2023 21 70 language language NOUN schriner-data-2023 21 71 families family NOUN schriner-data-2023 21 72 ) ) PUNCT schriner-data-2023 21 73 . . PUNCT schriner-data-2023 22 1 this this DET schriner-data-2023 22 2 paper paper NOUN schriner-data-2023 22 3 focuses focus VERB schriner-data-2023 22 4 on on ADP schriner-data-2023 22 5 sequence sequence NOUN schriner-data-2023 22 6 - - PUNCT schriner-data-2023 22 7 to to ADP schriner-data-2023 22 8 - - PUNCT schriner-data-2023 22 9 sequence sequence NOUN schriner-data-2023 22 10 models model NOUN schriner-data-2023 22 11 , , PUNCT schriner-data-2023 22 12 the the DET schriner-data-2023 22 13 conversion conversion NOUN schriner-data-2023 22 14 of of ADP schriner-data-2023 22 15 a a DET schriner-data-2023 22 16 sequence sequence NOUN schriner-data-2023 22 17 from from ADP schriner-data-2023 22 18 one one NUM schriner-data-2023 22 19 domain domain NOUN schriner-data-2023 22 20 into into ADP schriner-data-2023 22 21 a a DET schriner-data-2023 22 22 sequence sequence NOUN schriner-data-2023 22 23 of of ADP schriner-data-2023 22 24 another another DET schriner-data-2023 22 25 domain domain NOUN schriner-data-2023 22 26 . . PUNCT schriner-data-2023 23 1 this this PRON schriner-data-2023 23 2 could could AUX schriner-data-2023 23 3 be be AUX schriner-data-2023 23 4 , , PUNCT schriner-data-2023 23 5 for for ADP schriner-data-2023 23 6 example example NOUN schriner-data-2023 23 7 , , PUNCT schriner-data-2023 23 8 polish polish ADJ schriner-data-2023 23 9 words word NOUN schriner-data-2023 23 10 converted convert VERB schriner-data-2023 23 11 to to ADP schriner-data-2023 23 12 their their PRON schriner-data-2023 23 13 pronunciation pronunciation NOUN schriner-data-2023 23 14 in in ADP schriner-data-2023 23 15 the the DET schriner-data-2023 23 16 international international ADJ schriner-data-2023 23 17 phonetic phonetic ADJ schriner-data-2023 23 18 alphabet alphabet NOUN schriner-data-2023 23 19 ( ( PUNCT schriner-data-2023 23 20 ipa ipa PROPN schriner-data-2023 23 21 ) ) PUNCT schriner-data-2023 23 22 format format NOUN schriner-data-2023 23 23 : : PUNCT schriner-data-2023 23 24 e.g. e.g. X schriner-data-2023 23 25 osłu osłu ADJ schriner-data-2023 23 26 ‘ ' PUNCT schriner-data-2023 23 27 donkey donkey NOUN schriner-data-2023 23 28 ’ ' PUNCT schriner-data-2023 23 29 converted convert VERB schriner-data-2023 23 30 to to ADP schriner-data-2023 23 31 ɔswu ɔswu NOUN schriner-data-2023 23 32 . . PUNCT schriner-data-2023 24 1 this this DET schriner-data-2023 24 2 model model NOUN schriner-data-2023 24 3 would would AUX schriner-data-2023 24 4 effectively effectively ADV schriner-data-2023 24 5 aid aid VERB schriner-data-2023 24 6 in in ADP schriner-data-2023 24 7 text text NOUN schriner-data-2023 24 8 - - PUNCT schriner-data-2023 24 9 to to ADP schriner-data-2023 24 10 - - PUNCT schriner-data-2023 24 11 speech speech NOUN schriner-data-2023 24 12 systems system NOUN schriner-data-2023 24 13 . . PUNCT schriner-data-2023 25 1 another another DET schriner-data-2023 25 2 example example NOUN schriner-data-2023 25 3 of of ADP schriner-data-2023 25 4 sequence sequence NOUN schriner-data-2023 25 5 - - PUNCT schriner-data-2023 25 6 to to ADP schriner-data-2023 25 7 - - PUNCT schriner-data-2023 25 8 sequence sequence NOUN schriner-data-2023 25 9 modeling modeling NOUN schriner-data-2023 25 10 could could AUX schriner-data-2023 25 11 be be AUX schriner-data-2023 25 12 to to PART schriner-data-2023 25 13 predict predict VERB schriner-data-2023 25 14 the the DET schriner-data-2023 25 15 correct correct ADJ schriner-data-2023 25 16 inflection inflection NOUN schriner-data-2023 25 17 and and CCONJ schriner-data-2023 25 18 placement placement NOUN schriner-data-2023 25 19 of of ADP schriner-data-2023 25 20 a a DET schriner-data-2023 25 21 stress stress NOUN schriner-data-2023 25 22 marker marker NOUN schriner-data-2023 25 23 given give VERB schriner-data-2023 25 24 a a DET schriner-data-2023 25 25 word word NOUN schriner-data-2023 25 26 and and CCONJ schriner-data-2023 25 27 its its PRON schriner-data-2023 25 28 part part NOUN schriner-data-2023 25 29 of of ADP schriner-data-2023 25 30 speech speech NOUN schriner-data-2023 25 31 : : PUNCT schriner-data-2023 25 32 training train VERB schriner-data-2023 25 33 a a DET schriner-data-2023 25 34 model model NOUN schriner-data-2023 25 35 that that SCONJ schriner-data-2023 25 36 when when SCONJ schriner-data-2023 25 37 given give VERB schriner-data-2023 25 38 the the DET schriner-data-2023 25 39 russian russian ADJ schriner-data-2023 25 40 adjective adjective ADJ schriner-data-2023 25 41 эйфорически эйфорически NOUN schriner-data-2023 25 42 ‘ ' PUNCT schriner-data-2023 25 43 euphorically euphorically ADV schriner-data-2023 25 44 , , PUNCT schriner-data-2023 25 45 ’ ' PUNCT schriner-data-2023 25 46 must must AUX schriner-data-2023 25 47 successfully successfully ADV schriner-data-2023 25 48 place place VERB schriner-data-2023 25 49 the the DET schriner-data-2023 25 50 stress stress NOUN schriner-data-2023 25 51 on on ADP schriner-data-2023 25 52 the the DET schriner-data-2023 25 53 middle middle NOUN schriner-data-2023 25 54 « « VERB schriner-data-2023 25 55 и́ и́ X schriner-data-2023 25 56 » » ADJ schriner-data-2023 25 57 as as ADP schriner-data-2023 25 58 in in ADP schriner-data-2023 25 59 эйфори́чески эйфори́чески NUM schriner-data-2023 25 60 . . PUNCT schriner-data-2023 26 1 the the DET schriner-data-2023 26 2 idea idea NOUN schriner-data-2023 26 3 is be AUX schriner-data-2023 26 4 that that SCONJ schriner-data-2023 26 5 we we PRON schriner-data-2023 26 6 will will AUX schriner-data-2023 26 7 use use VERB schriner-data-2023 26 8 80 80 NUM schriner-data-2023 26 9 % % NOUN schriner-data-2023 26 10 of of ADP schriner-data-2023 26 11 the the DET schriner-data-2023 26 12 data datum NOUN schriner-data-2023 26 13 to to PART schriner-data-2023 26 14 train train VERB schriner-data-2023 26 15 on on ADP schriner-data-2023 26 16 , , PUNCT schriner-data-2023 26 17 10 10 NUM schriner-data-2023 26 18 % % NOUN schriner-data-2023 26 19 for for ADP schriner-data-2023 26 20 development development NOUN schriner-data-2023 26 21 with with ADP schriner-data-2023 26 22 which which PRON schriner-data-2023 26 23 to to PART schriner-data-2023 26 24 choose choose VERB schriner-data-2023 26 25 the the DET schriner-data-2023 26 26 best good ADJ schriner-data-2023 26 27 parameters parameter NOUN schriner-data-2023 26 28 and and CCONJ schriner-data-2023 26 29 model model NOUN schriner-data-2023 26 30 , , PUNCT schriner-data-2023 26 31 and and CCONJ schriner-data-2023 26 32 10 10 NUM schriner-data-2023 26 33 % % NOUN schriner-data-2023 26 34 for for ADP schriner-data-2023 26 35 the the DET schriner-data-2023 26 36 test test NOUN schriner-data-2023 26 37 set set VERB schriner-data-2023 26 38 . . PUNCT schriner-data-2023 27 1 it it PRON schriner-data-2023 27 2 ’s ’ VERB schriner-data-2023 27 3 easy easy ADJ schriner-data-2023 27 4 to to PART schriner-data-2023 27 5 feel feel VERB schriner-data-2023 27 6 overwhelmed overwhelmed ADJ schriner-data-2023 27 7 with with ADP schriner-data-2023 27 8 these these DET schriner-data-2023 27 9 tools tool NOUN schriner-data-2023 27 10 and and CCONJ schriner-data-2023 27 11 their their PRON schriner-data-2023 27 12 architectures architecture NOUN schriner-data-2023 27 13 . . PUNCT schriner-data-2023 28 1 the the DET schriner-data-2023 28 2 aim aim NOUN schriner-data-2023 28 3 of of ADP schriner-data-2023 28 4 this this DET schriner-data-2023 28 5 paper paper NOUN schriner-data-2023 28 6 is be AUX schriner-data-2023 28 7 to to PART schriner-data-2023 28 8 help help VERB schriner-data-2023 28 9 demystify demystify VERB schriner-data-2023 28 10 this this DET schriner-data-2023 28 11 particular particular ADJ schriner-data-2023 28 12 type type NOUN schriner-data-2023 28 13 of of ADP schriner-data-2023 28 14 machine machine NOUN schriner-data-2023 28 15 - - PUNCT schriner-data-2023 28 16 learning learning NOUN schriner-data-2023 28 17 with with ADP schriner-data-2023 28 18 a a DET schriner-data-2023 28 19 well well ADV schriner-data-2023 28 20 - - PUNCT schriner-data-2023 28 21 prepared prepare VERB schriner-data-2023 28 22 dataset dataset NOUN schriner-data-2023 28 23 and and CCONJ schriner-data-2023 28 24 project project NOUN schriner-data-2023 28 25 goals goal NOUN schriner-data-2023 28 26 . . PUNCT schriner-data-2023 29 1 importance importance NOUN schriner-data-2023 29 2 of of ADP schriner-data-2023 29 3 open open ADJ schriner-data-2023 29 4 data datum NOUN schriner-data-2023 29 5 open open ADJ schriner-data-2023 29 6 data datum NOUN schriner-data-2023 29 7 is be AUX schriner-data-2023 29 8 essential essential ADJ schriner-data-2023 29 9 for for ADP schriner-data-2023 29 10 original original ADJ schriner-data-2023 29 11 research research NOUN schriner-data-2023 29 12 and and CCONJ schriner-data-2023 29 13 replication replication NOUN schriner-data-2023 29 14 studies study NOUN schriner-data-2023 29 15 . . PUNCT schriner-data-2023 29 16     SPACE schriner-data-2023 30 1 sparc sparc PROPN schriner-data-2023 30 2 states state VERB schriner-data-2023 30 3 that that SCONJ schriner-data-2023 30 4 “ " PUNCT schriner-data-2023 30 5 despite despite SCONJ schriner-data-2023 30 6 its its PRON schriner-data-2023 30 7 tremendous tremendous ADJ schriner-data-2023 30 8 importance importance NOUN schriner-data-2023 30 9 , , PUNCT schriner-data-2023 30 10 today today NOUN schriner-data-2023 30 11 , , PUNCT schriner-data-2023 30 12 research research NOUN schriner-data-2023 30 13 data datum NOUN schriner-data-2023 30 14 remains remain VERB schriner-data-2023 30 15 largely largely ADV schriner-data-2023 30 16 fragmented fragment VERB schriner-data-2023 30 17 — — PUNCT schriner-data-2023 30 18 isolated isolate VERB schriner-data-2023 30 19 across across ADP schriner-data-2023 30 20 millions million NOUN schriner-data-2023 30 21 of of ADP schriner-data-2023 30 22 individual individual ADJ schriner-data-2023 30 23 computers computer NOUN schriner-data-2023 30 24 , , PUNCT schriner-data-2023 30 25 blocked block VERB schriner-data-2023 30 26 by by ADP schriner-data-2023 30 27 disparate disparate ADJ schriner-data-2023 30 28 technical technical ADJ schriner-data-2023 30 29 , , PUNCT schriner-data-2023 30 30 legal legal ADJ schriner-data-2023 30 31 and and CCONJ schriner-data-2023 30 32 financial financial ADJ schriner-data-2023 30 33 restrictions restriction NOUN schriner-data-2023 30 34 ” " PUNCT schriner-data-2023 30 35 ( ( PUNCT schriner-data-2023 30 36 “ " PUNCT schriner-data-2023 30 37 open open ADJ schriner-data-2023 30 38 data datum NOUN schriner-data-2023 30 39 , , PUNCT schriner-data-2023 30 40 ” " PUNCT schriner-data-2023 30 41 n.d n.d PROPN schriner-data-2023 30 42 . . PUNCT schriner-data-2023 30 43 ) ) PUNCT schriner-data-2023 30 44 . . PUNCT schriner-data-2023 30 45     SPACE schriner-data-2023 31 1 to to PART schriner-data-2023 31 2 combat combat VERB schriner-data-2023 31 3 this this DET schriner-data-2023 31 4 fragmentation fragmentation NOUN schriner-data-2023 31 5 , , PUNCT schriner-data-2023 31 6 a a DET schriner-data-2023 31 7 call call NOUN schriner-data-2023 31 8 for for ADP schriner-data-2023 31 9 open open ADJ schriner-data-2023 31 10 data datum NOUN schriner-data-2023 31 11 would would AUX schriner-data-2023 31 12 require require VERB schriner-data-2023 31 13 that that SCONJ schriner-data-2023 31 14 research research NOUN schriner-data-2023 31 15 data datum NOUN schriner-data-2023 31 16 : : PUNCT schriner-data-2023 31 17 “ " PUNCT schriner-data-2023 31 18 ( ( PUNCT schriner-data-2023 31 19 1 1 X schriner-data-2023 31 20 ) ) PUNCT schriner-data-2023 31 21 is be AUX schriner-data-2023 31 22 freely freely ADV schriner-data-2023 31 23 available available ADJ schriner-data-2023 31 24 on on ADP schriner-data-2023 31 25 the the DET schriner-data-2023 31 26 internet internet NOUN schriner-data-2023 31 27 , , PUNCT schriner-data-2023 31 28 ( ( PUNCT schriner-data-2023 31 29 2 2 X schriner-data-2023 31 30 ) ) PUNCT schriner-data-2023 31 31 permits permit VERB schriner-data-2023 31 32 any any DET schriner-data-2023 31 33 user user NOUN schriner-data-2023 31 34 to to PART schriner-data-2023 31 35 download download VERB schriner-data-2023 31 36 , , PUNCT schriner-data-2023 31 37 copy copy NOUN schriner-data-2023 31 38 , , PUNCT schriner-data-2023 31 39 analyze analyze NOUN schriner-data-2023 31 40 , , PUNCT schriner-data-2023 31 41 re re NOUN schriner-data-2023 31 42 - - NOUN schriner-data-2023 31 43 process process NOUN schriner-data-2023 31 44 , , PUNCT schriner-data-2023 31 45 pass pass VERB schriner-data-2023 31 46 to to ADP schriner-data-2023 31 47 software software NOUN schriner-data-2023 31 48 or or CCONJ schriner-data-2023 31 49 use use NOUN schriner-data-2023 31 50 for for ADP schriner-data-2023 31 51 any any DET schriner-data-2023 31 52 other other ADJ schriner-data-2023 31 53 purpose purpose NOUN schriner-data-2023 31 54 ; ; PUNCT schriner-data-2023 31 55 and and CCONJ schriner-data-2023 31 56 ( ( PUNCT schriner-data-2023 31 57 3 3 X schriner-data-2023 31 58 ) ) PUNCT schriner-data-2023 31 59 is be AUX schriner-data-2023 31 60 without without ADP schriner-data-2023 31 61 financial financial ADJ schriner-data-2023 31 62 , , PUNCT schriner-data-2023 31 63 legal legal ADJ schriner-data-2023 31 64 , , PUNCT schriner-data-2023 31 65 or or CCONJ schriner-data-2023 31 66 technical technical ADJ schriner-data-2023 31 67 barriers barrier NOUN schriner-data-2023 31 68 other other ADJ schriner-data-2023 31 69 than than ADP schriner-data-2023 31 70 those those PRON schriner-data-2023 31 71 inseparable inseparable ADJ schriner-data-2023 31 72 from from ADP schriner-data-2023 31 73 gaining gain VERB schriner-data-2023 31 74 access access NOUN schriner-data-2023 31 75 to to ADP schriner-data-2023 31 76 the the DET schriner-data-2023 31 77 internet internet NOUN schriner-data-2023 31 78 itself itself PRON schriner-data-2023 31 79 ” " PUNCT schriner-data-2023 31 80 ( ( PUNCT schriner-data-2023 31 81 “ " PUNCT schriner-data-2023 31 82 open open ADJ schriner-data-2023 31 83 data datum NOUN schriner-data-2023 31 84 , , PUNCT schriner-data-2023 31 85 ” " PUNCT schriner-data-2023 31 86 n.d n.d PROPN schriner-data-2023 31 87 . . PUNCT schriner-data-2023 31 88 ) ) PUNCT schriner-data-2023 31 89 . . PUNCT schriner-data-2023 31 90     SPACE schriner-data-2023 32 1 open open ADJ schriner-data-2023 32 2 data datum NOUN schriner-data-2023 32 3 can can AUX schriner-data-2023 32 4 be be AUX schriner-data-2023 32 5 found find VERB schriner-data-2023 32 6 worldwide worldwide ADV schriner-data-2023 32 7 in in ADP schriner-data-2023 32 8 glam glam PROPN schriner-data-2023 32 9 labs lab NOUN schriner-data-2023 32 10 such such ADJ schriner-data-2023 32 11 as as ADP schriner-data-2023 32 12 the the DET schriner-data-2023 32 13 data datum NOUN schriner-data-2023 32 14 foundry[7 foundry[7 SPACE schriner-data-2023 32 15 ] ] PUNCT schriner-data-2023 32 16 at at ADP schriner-data-2023 32 17 the the DET schriner-data-2023 32 18 national national ADJ schriner-data-2023 32 19 library library NOUN schriner-data-2023 32 20 of of ADP schriner-data-2023 32 21 scotland scotland PROPN schriner-data-2023 32 22 , , PUNCT schriner-data-2023 32 23 and and CCONJ schriner-data-2023 32 24 linguistics linguistic NOUN schriner-data-2023 32 25 repositories repository NOUN schriner-data-2023 32 26 such such ADJ schriner-data-2023 32 27 as as ADP schriner-data-2023 32 28 the the DET schriner-data-2023 32 29 tromsø tromsø ADJ schriner-data-2023 32 30 repository repository NOUN schriner-data-2023 32 31 of of ADP schriner-data-2023 32 32 language language NOUN schriner-data-2023 32 33 and and CCONJ schriner-data-2023 32 34 linguistics linguistic NOUN schriner-data-2023 32 35 ( ( PUNCT schriner-data-2023 32 36 trolling).[8 trolling).[8 PROPN schriner-data-2023 32 37 ] ] PUNCT schriner-data-2023 32 38     SPACE schriner-data-2023 32 39 the the DET schriner-data-2023 32 40 registry registry NOUN schriner-data-2023 32 41 of of ADP schriner-data-2023 32 42 research research NOUN schriner-data-2023 32 43 data datum NOUN schriner-data-2023 32 44 repositories[9 repositories[9 SPACE schriner-data-2023 32 45 ] ] PUNCT schriner-data-2023 32 46 indexes index VERB schriner-data-2023 32 47 nearly nearly ADV schriner-data-2023 32 48 3,000 3,000 NUM schriner-data-2023 32 49 research research NOUN schriner-data-2023 32 50 data datum NOUN schriner-data-2023 32 51 repositories repository NOUN schriner-data-2023 32 52 that that PRON schriner-data-2023 32 53 provide provide VERB schriner-data-2023 32 54 databases database NOUN schriner-data-2023 32 55 , , PUNCT schriner-data-2023 32 56 corpora corpora PROPN schriner-data-2023 32 57 , , PUNCT schriner-data-2023 32 58 tools tool NOUN schriner-data-2023 32 59 , , PUNCT schriner-data-2023 32 60 statistical statistical ADJ schriner-data-2023 32 61 , , PUNCT schriner-data-2023 32 62 and and CCONJ schriner-data-2023 32 63 audiovisual audiovisual ADJ schriner-data-2023 32 64 data datum NOUN schriner-data-2023 32 65 . . PUNCT schriner-data-2023 32 66     SPACE schriner-data-2023 32 67 with with ADP schriner-data-2023 32 68 open open ADJ schriner-data-2023 32 69 and and CCONJ schriner-data-2023 32 70 well well ADV schriner-data-2023 32 71 - - PUNCT schriner-data-2023 32 72 described describe VERB schriner-data-2023 32 73 data datum NOUN schriner-data-2023 32 74 alongside alongside ADP schriner-data-2023 32 75 open open ADJ schriner-data-2023 32 76 access access NOUN schriner-data-2023 32 77 papers paper NOUN schriner-data-2023 32 78 , , PUNCT schriner-data-2023 32 79 our our PRON schriner-data-2023 32 80 research research NOUN schriner-data-2023 32 81 lives live VERB schriner-data-2023 32 82 on on ADP schriner-data-2023 32 83 in in ADP schriner-data-2023 32 84 repositories repository NOUN schriner-data-2023 32 85 , , PUNCT schriner-data-2023 32 86 waiting wait VERB schriner-data-2023 32 87 to to PART schriner-data-2023 32 88 be be AUX schriner-data-2023 32 89 replicated replicate VERB schriner-data-2023 32 90 , , PUNCT schriner-data-2023 32 91 rebutted rebut VERB schriner-data-2023 32 92 , , PUNCT schriner-data-2023 32 93 added add VERB schriner-data-2023 32 94 to to ADP schriner-data-2023 32 95 , , PUNCT schriner-data-2023 32 96 or or CCONJ schriner-data-2023 32 97 improved improve VERB schriner-data-2023 32 98 . . PUNCT schriner-data-2023 33 1 projects project NOUN schriner-data-2023 33 2 like like ADP schriner-data-2023 33 3 the the DET schriner-data-2023 33 4 one one NOUN schriner-data-2023 33 5 we we PRON schriner-data-2023 33 6 describe describe VERB schriner-data-2023 33 7 below below ADP schriner-data-2023 33 8 rely rely VERB schriner-data-2023 33 9 on on ADP schriner-data-2023 33 10 data datum NOUN schriner-data-2023 33 11 scraped scrape VERB schriner-data-2023 33 12 by by ADP schriner-data-2023 33 13 the the DET schriner-data-2023 33 14 wikipron wikipron PROPN schriner-data-2023 33 15 project project NOUN schriner-data-2023 33 16 ( ( PUNCT schriner-data-2023 33 17 lee lee PROPN schriner-data-2023 33 18 et et PROPN schriner-data-2023 33 19 al al PROPN schriner-data-2023 33 20 . . PROPN schriner-data-2023 33 21 , , PUNCT schriner-data-2023 33 22 2020 2020 NUM schriner-data-2023 33 23 ) ) PUNCT schriner-data-2023 33 24 , , PUNCT schriner-data-2023 33 25 providing provide VERB schriner-data-2023 33 26 phonological phonological ADJ schriner-data-2023 33 27 and and CCONJ schriner-data-2023 33 28 morphological morphological ADJ schriner-data-2023 33 29 datasets dataset NOUN schriner-data-2023 33 30 coupled couple VERB schriner-data-2023 33 31 with with ADP schriner-data-2023 33 32 frequency frequency ADJ schriner-data-2023 33 33 data datum NOUN schriner-data-2023 33 34 , , PUNCT schriner-data-2023 33 35 all all PRON schriner-data-2023 33 36 regularly regularly ADV schriner-data-2023 33 37 updated update VERB schriner-data-2023 33 38 and and CCONJ schriner-data-2023 33 39 open open ADJ schriner-data-2023 33 40 . . PUNCT schriner-data-2023 33 41     SPACE schriner-data-2023 34 1 the the DET schriner-data-2023 34 2 wikipron wikipron PROPN schriner-data-2023 34 3 project project NOUN schriner-data-2023 34 4 contains contain VERB schriner-data-2023 34 5 1.7 1.7 NUM schriner-data-2023 34 6 million million NUM schriner-data-2023 34 7 pronunciations pronunciation NOUN schriner-data-2023 34 8 from from ADP schriner-data-2023 34 9 165 165 NUM schriner-data-2023 34 10 languages language NOUN schriner-data-2023 34 11 . . PUNCT schriner-data-2023 34 12     SPACE schriner-data-2023 35 1 better well ADV schriner-data-2023 35 2 still still ADV schriner-data-2023 35 3 , , PUNCT schriner-data-2023 35 4 the the DET schriner-data-2023 35 5 project project NOUN schriner-data-2023 35 6 released release VERB schriner-data-2023 35 7 its its PRON schriner-data-2023 35 8 mining mining NOUN schriner-data-2023 35 9 software software NOUN schriner-data-2023 35 10 so so SCONJ schriner-data-2023 35 11 that that SCONJ schriner-data-2023 35 12 anyone anyone PRON schriner-data-2023 35 13 may may AUX schriner-data-2023 35 14 mine mine VERB schriner-data-2023 35 15 the the DET schriner-data-2023 35 16 data data NOUN schriner-data-2023 35 17 themselves themselves PRON schriner-data-2023 35 18 so so SCONJ schriner-data-2023 35 19 that that SCONJ schriner-data-2023 35 20 researchers researcher NOUN schriner-data-2023 35 21 “ " PUNCT schriner-data-2023 35 22 no no ADV schriner-data-2023 35 23 longer long ADV schriner-data-2023 35 24 depend depend VERB schriner-data-2023 35 25 on on ADP schriner-data-2023 35 26 ossified ossified ADJ schriner-data-2023 35 27 snapshots snapshot NOUN schriner-data-2023 35 28 of of ADP schriner-data-2023 35 29 an an DET schriner-data-2023 35 30 ever ever ADV schriner-data-2023 35 31 - - PUNCT schriner-data-2023 35 32 growing grow VERB schriner-data-2023 35 33 , , PUNCT schriner-data-2023 35 34 ever ever ADV schriner-data-2023 35 35 - - PUNCT schriner-data-2023 35 36 changing change VERB schriner-data-2023 35 37 collaborative collaborative ADJ schriner-data-2023 35 38 resource resource NOUN schriner-data-2023 35 39 ” " PUNCT schriner-data-2023 35 40 ( ( PUNCT schriner-data-2023 35 41 lee lee PROPN schriner-data-2023 35 42 et et PROPN schriner-data-2023 35 43 al al PROPN schriner-data-2023 35 44 . . PROPN schriner-data-2023 35 45 , , PUNCT schriner-data-2023 35 46 2020 2020 NUM schriner-data-2023 35 47 , , PUNCT schriner-data-2023 35 48 p p NOUN schriner-data-2023 35 49 4223 4223 NUM schriner-data-2023 35 50 ) ) PUNCT schriner-data-2023 35 51 . . PUNCT schriner-data-2023 36 1 under under ADV schriner-data-2023 36 2 - - PUNCT schriner-data-2023 36 3 researched research VERB schriner-data-2023 36 4 languages language NOUN schriner-data-2023 36 5 like like ADP schriner-data-2023 36 6 adyghe adyghe PROPN schriner-data-2023 36 7 or or CCONJ schriner-data-2023 36 8 urak urak PROPN schriner-data-2023 36 9 lawoi lawoi PROPN schriner-data-2023 36 10 ’ ' PUNCT schriner-data-2023 36 11 , , PUNCT schriner-data-2023 36 12 or or CCONJ schriner-data-2023 36 13 an an DET schriner-data-2023 36 14 endangered endanger VERB schriner-data-2023 36 15 / / SYM schriner-data-2023 36 16 moribund moribund PROPN schriner-data-2023 36 17 language language NOUN schriner-data-2023 36 18 like like ADP schriner-data-2023 36 19 wiyot wiyot NOUN schriner-data-2023 36 20 can can AUX schriner-data-2023 36 21 benefit benefit VERB schriner-data-2023 36 22 from from ADP schriner-data-2023 36 23 projects project NOUN schriner-data-2023 36 24 that that PRON schriner-data-2023 36 25 have have VERB schriner-data-2023 36 26 access access NOUN schriner-data-2023 36 27 to to PART schriner-data-2023 36 28 open open VERB schriner-data-2023 36 29 phonological phonological ADJ schriner-data-2023 36 30 data datum NOUN schriner-data-2023 36 31 for for ADP schriner-data-2023 36 32 language language NOUN schriner-data-2023 36 33 revitalization revitalization NOUN schriner-data-2023 36 34 efforts effort NOUN schriner-data-2023 36 35 or or CCONJ schriner-data-2023 36 36 preservation preservation NOUN schriner-data-2023 36 37 . . PUNCT schriner-data-2023 36 38     SPACE schriner-data-2023 37 1 the the DET schriner-data-2023 37 2 wikipron wikipron PROPN schriner-data-2023 37 3 project project NOUN schriner-data-2023 37 4 even even ADV schriner-data-2023 37 5 has have VERB schriner-data-2023 37 6 452 452 NUM schriner-data-2023 37 7 words word NOUN schriner-data-2023 37 8 from from ADP schriner-data-2023 37 9 old old ADJ schriner-data-2023 37 10 french french NOUN schriner-data-2023 37 11 ( ( PUNCT schriner-data-2023 37 12 842 842 NUM schriner-data-2023 37 13 ce ce PROPN schriner-data-2023 37 14 – – PUNCT schriner-data-2023 37 15 ca ca PROPN schriner-data-2023 37 16 . . PUNCT schriner-data-2023 38 1 1400 1400 NUM schriner-data-2023 38 2 ce ce PROPN schriner-data-2023 38 3 ) ) PUNCT schriner-data-2023 38 4 that that PRON schriner-data-2023 38 5 could could AUX schriner-data-2023 38 6 be be AUX schriner-data-2023 38 7 used use VERB schriner-data-2023 38 8 to to PART schriner-data-2023 38 9 track track VERB schriner-data-2023 38 10 sound sound ADJ schriner-data-2023 38 11 change change NOUN schriner-data-2023 38 12 to to ADP schriner-data-2023 38 13 modern modern ADJ schriner-data-2023 38 14 french french ADJ schriner-data-2023 38 15 . . PUNCT schriner-data-2023 38 16     SPACE schriner-data-2023 39 1 repositories repository NOUN schriner-data-2023 39 2 and and CCONJ schriner-data-2023 39 3 applications application NOUN schriner-data-2023 39 4 like like ADP schriner-data-2023 39 5 wikipron wikipron PROPN schriner-data-2023 39 6 provide provide VERB schriner-data-2023 39 7 invaluable invaluable ADJ schriner-data-2023 39 8 data datum NOUN schriner-data-2023 39 9 that that PRON schriner-data-2023 39 10 can can AUX schriner-data-2023 39 11 be be AUX schriner-data-2023 39 12 used use VERB schriner-data-2023 39 13 in in ADP schriner-data-2023 39 14 countless countless ADJ schriner-data-2023 39 15 ways way NOUN schriner-data-2023 39 16 . . PUNCT schriner-data-2023 40 1 projects project NOUN schriner-data-2023 40 2 with with ADP schriner-data-2023 40 3 fairseq fairseq NOUN schriner-data-2023 40 4 each each DET schriner-data-2023 40 5 project project NOUN schriner-data-2023 40 6 requires require VERB schriner-data-2023 40 7 preparing prepare VERB schriner-data-2023 40 8 the the DET schriner-data-2023 40 9 data datum NOUN schriner-data-2023 40 10 in in ADP schriner-data-2023 40 11 a a DET schriner-data-2023 40 12 way way NOUN schriner-data-2023 40 13 that that PRON schriner-data-2023 40 14 can can AUX schriner-data-2023 40 15 be be AUX schriner-data-2023 40 16 used use VERB schriner-data-2023 40 17 by by ADP schriner-data-2023 40 18 the the DET schriner-data-2023 40 19 software software NOUN schriner-data-2023 40 20 . . PUNCT schriner-data-2023 40 21     SPACE schriner-data-2023 41 1 in in ADP schriner-data-2023 41 2 this this DET schriner-data-2023 41 3 paper paper NOUN schriner-data-2023 41 4 we we PRON schriner-data-2023 41 5 use use VERB schriner-data-2023 41 6 fairseq fairseq NOUN schriner-data-2023 41 7 ( ( PUNCT schriner-data-2023 41 8 ott ott PROPN schriner-data-2023 41 9 et et PROPN schriner-data-2023 41 10 al al PROPN schriner-data-2023 41 11 . . PROPN schriner-data-2023 41 12 , , PUNCT schriner-data-2023 41 13 2019 2019 NUM schriner-data-2023 41 14 ) ) PUNCT schriner-data-2023 41 15 which which PRON schriner-data-2023 41 16 is be AUX schriner-data-2023 41 17 a a DET schriner-data-2023 41 18 “ " PUNCT schriner-data-2023 41 19 facebook facebook NOUN schriner-data-2023 41 20 ai ai VERB schriner-data-2023 41 21 research research NOUN schriner-data-2023 41 22 sequence sequence NOUN schriner-data-2023 41 23 - - PUNCT schriner-data-2023 41 24 to to ADP schriner-data-2023 41 25 - - PUNCT schriner-data-2023 41 26 sequence sequence NOUN schriner-data-2023 41 27 toolkit toolkit NOUN schriner-data-2023 41 28 written write VERB schriner-data-2023 41 29 in in ADP schriner-data-2023 41 30 python python PROPN schriner-data-2023 41 31 . . PUNCT schriner-data-2023 41 32 ”[10 ”[10 NOUN schriner-data-2023 41 33 ] ] PUNCT schriner-data-2023 41 34     SPACE schriner-data-2023 42 1 the the DET schriner-data-2023 42 2 toolkit toolkit NOUN schriner-data-2023 42 3 requires require VERB schriner-data-2023 42 4 that that SCONJ schriner-data-2023 42 5 characters character NOUN schriner-data-2023 42 6 be be AUX schriner-data-2023 42 7 separated separate VERB schriner-data-2023 42 8 with with ADP schriner-data-2023 42 9 a a DET schriner-data-2023 42 10 space space NOUN schriner-data-2023 42 11 if if SCONJ schriner-data-2023 42 12 that that PRON schriner-data-2023 42 13 is be AUX schriner-data-2023 42 14 what what PRON schriner-data-2023 42 15 we we PRON schriner-data-2023 42 16 ’re ’re AUX schriner-data-2023 42 17 trying try VERB schriner-data-2023 42 18 to to ADP schriner-data-2023 42 19 sequence.[11 sequence.[11 PROPN schriner-data-2023 42 20 ] ] PUNCT schriner-data-2023 42 21     SPACE schriner-data-2023 42 22 a a DET schriner-data-2023 42 23 wikipron wikipron ADJ schriner-data-2023 42 24 dataset dataset NOUN schriner-data-2023 42 25 may may AUX schriner-data-2023 42 26 be be AUX schriner-data-2023 42 27 downloaded download VERB schriner-data-2023 42 28 as as ADP schriner-data-2023 42 29 a a DET schriner-data-2023 42 30 tab tab NOUN schriner-data-2023 42 31 - - PUNCT schriner-data-2023 42 32 separated separate VERB schriner-data-2023 42 33 values value NOUN schriner-data-2023 42 34 ( ( PUNCT schriner-data-2023 42 35 tsv tsv PROPN schriner-data-2023 42 36 ) ) PUNCT schriner-data-2023 42 37 file file NOUN schriner-data-2023 42 38 . . PUNCT schriner-data-2023 43 1 in in ADP schriner-data-2023 43 2 this this DET schriner-data-2023 43 3 article article NOUN schriner-data-2023 43 4 we we PRON schriner-data-2023 43 5 ’ll ’ll AUX schriner-data-2023 43 6 look look VERB schriner-data-2023 43 7 at at ADP schriner-data-2023 43 8 two two NUM schriner-data-2023 43 9 projects project NOUN schriner-data-2023 43 10 and and CCONJ schriner-data-2023 43 11 how how SCONJ schriner-data-2023 43 12 we we PRON schriner-data-2023 43 13 ’d ’d AUX schriner-data-2023 43 14 manipulate manipulate VERB schriner-data-2023 43 15 the the DET schriner-data-2023 43 16 data datum NOUN schriner-data-2023 43 17 for for ADP schriner-data-2023 43 18 fairseq fairseq NOUN schriner-data-2023 43 19 . . PUNCT schriner-data-2023 44 1 esperanto esperanto PROPN schriner-data-2023 44 2 esperanto esperanto PROPN schriner-data-2023 44 3 is be AUX schriner-data-2023 44 4 a a DET schriner-data-2023 44 5 constructed constructed ADJ schriner-data-2023 44 6 language language NOUN schriner-data-2023 44 7 ( ( PUNCT schriner-data-2023 44 8 conlang conlang PROPN schriner-data-2023 44 9 ) ) PUNCT schriner-data-2023 44 10 created create VERB schriner-data-2023 44 11 to to PART schriner-data-2023 44 12 be be AUX schriner-data-2023 44 13 a a DET schriner-data-2023 44 14 universal universal ADJ schriner-data-2023 44 15 auxiliary auxiliary ADJ schriner-data-2023 44 16 / / SYM schriner-data-2023 44 17 second second ADJ schriner-data-2023 44 18 language language NOUN schriner-data-2023 44 19 to to PART schriner-data-2023 44 20 aid aid VERB schriner-data-2023 44 21 in in ADP schriner-data-2023 44 22 international international ADJ schriner-data-2023 44 23 communication.[12 communication.[12 NOUN schriner-data-2023 44 24 ] ] PUNCT schriner-data-2023 44 25     SPACE schriner-data-2023 44 26 from from ADP schriner-data-2023 44 27 the the DET schriner-data-2023 44 28 wikipron wikipron ADJ schriner-data-2023 44 29 project project NOUN schriner-data-2023 44 30 we we PRON schriner-data-2023 44 31 first first ADV schriner-data-2023 44 32 download download VERB schriner-data-2023 44 33 the the DET schriner-data-2023 44 34 tsv tsv NOUN schriner-data-2023 44 35 file file NOUN schriner-data-2023 44 36 for for ADP schriner-data-2023 44 37 esperanto.[13 esperanto.[13 NOUN schriner-data-2023 44 38 ] ] PUNCT schriner-data-2023 44 39     SPACE schriner-data-2023 44 40 in in ADP schriner-data-2023 44 41 esperanto esperanto PROPN schriner-data-2023 44 42 , , PUNCT schriner-data-2023 44 43 each each DET schriner-data-2023 44 44 letter letter NOUN schriner-data-2023 44 45 has have VERB schriner-data-2023 44 46 only only ADV schriner-data-2023 44 47 one one NUM schriner-data-2023 44 48 pronunciation pronunciation NOUN schriner-data-2023 44 49 , , PUNCT schriner-data-2023 44 50 so so SCONJ schriner-data-2023 44 51 it it PRON schriner-data-2023 44 52 should should AUX schriner-data-2023 44 53 be be AUX schriner-data-2023 44 54 trivial trivial ADJ schriner-data-2023 44 55 to to PART schriner-data-2023 44 56 convert convert VERB schriner-data-2023 44 57 characters character NOUN schriner-data-2023 44 58 to to ADP schriner-data-2023 44 59 the the DET schriner-data-2023 44 60 ipa ipa ADJ schriner-data-2023 44 61 pronunciation pronunciation NOUN schriner-data-2023 44 62 and and CCONJ schriner-data-2023 44 63 our our PRON schriner-data-2023 44 64 machine machine NOUN schriner-data-2023 44 65 should should AUX schriner-data-2023 44 66 be be AUX schriner-data-2023 44 67 able able ADJ schriner-data-2023 44 68 to to PART schriner-data-2023 44 69 do do VERB schriner-data-2023 44 70 this this PRON schriner-data-2023 44 71 with with ADP schriner-data-2023 44 72 great great ADJ schriner-data-2023 44 73 accuracy accuracy NOUN schriner-data-2023 44 74 . . PUNCT schriner-data-2023 44 75     SPACE schriner-data-2023 45 1 stress stress NOUN schriner-data-2023 45 2 is be AUX schriner-data-2023 45 3 not not PART schriner-data-2023 45 4 marked mark VERB schriner-data-2023 45 5 in in ADP schriner-data-2023 45 6 the the DET schriner-data-2023 45 7 dataset dataset NOUN schriner-data-2023 45 8 , , PUNCT schriner-data-2023 45 9 but but CCONJ schriner-data-2023 45 10 in in ADP schriner-data-2023 45 11 esperanto esperanto ADJ schriner-data-2023 45 12 stress stress NOUN schriner-data-2023 45 13 is be AUX schriner-data-2023 45 14 always always ADV schriner-data-2023 45 15 placed place VERB schriner-data-2023 45 16 on on ADP schriner-data-2023 45 17 the the DET schriner-data-2023 45 18 penultimate penultimate ADJ schriner-data-2023 45 19 syllable syllable NOUN schriner-data-2023 45 20 . . PUNCT schriner-data-2023 45 21     SPACE schriner-data-2023 46 1 the the DET schriner-data-2023 46 2 data data NOUN schriner-data-2023 46 3 is be AUX schriner-data-2023 46 4 in in ADP schriner-data-2023 46 5 two two NUM schriner-data-2023 46 6 tab tab NOUN schriner-data-2023 46 7 - - PUNCT schriner-data-2023 46 8 separated separate VERB schriner-data-2023 46 9 columns column NOUN schriner-data-2023 46 10 with with ADP schriner-data-2023 46 11 the the DET schriner-data-2023 46 12 grapheme grapheme NOUN schriner-data-2023 46 13 ( ( PUNCT schriner-data-2023 46 14 the the DET schriner-data-2023 46 15 written write VERB schriner-data-2023 46 16 word word NOUN schriner-data-2023 46 17 ) ) PUNCT schriner-data-2023 46 18 in in ADP schriner-data-2023 46 19 the the DET schriner-data-2023 46 20 first first ADJ schriner-data-2023 46 21 column column NOUN schriner-data-2023 46 22 and and CCONJ schriner-data-2023 46 23 the the DET schriner-data-2023 46 24 phoneme phoneme NOUN schriner-data-2023 46 25 ( ( PUNCT schriner-data-2023 46 26 the the DET schriner-data-2023 46 27 ipa ipa PROPN schriner-data-2023 46 28 representation representation NOUN schriner-data-2023 46 29 for for ADP schriner-data-2023 46 30 pronunciation pronunciation NOUN schriner-data-2023 46 31 ) ) PUNCT schriner-data-2023 46 32 in in ADP schriner-data-2023 46 33 the the DET schriner-data-2023 46 34 second second ADJ schriner-data-2023 46 35 column column NOUN schriner-data-2023 46 36 : : PUNCT schriner-data-2023 46 37     SPACE schriner-data-2023 46 38 table table NOUN schriner-data-2023 47 1 1 1 NUM schriner-data-2023 47 2 . . PUNCT schriner-data-2023 47 3 example example NOUN schriner-data-2023 47 4 data datum NOUN schriner-data-2023 47 5 from from ADP schriner-data-2023 47 6 the the DET schriner-data-2023 47 7 tsv tsv NOUN schriner-data-2023 47 8 file file NOUN schriner-data-2023 47 9 from from ADP schriner-data-2023 47 10 wikipron wikipron PROPN schriner-data-2023 47 11 . . PUNCT schriner-data-2023 47 12     SPACE schriner-data-2023 48 1 aarono aarono PROPN schriner-data-2023 48 2 a a DET schriner-data-2023 48 3 a a DET schriner-data-2023 48 4 r r NOUN schriner-data-2023 48 5 o o X schriner-data-2023 48 6 n n CCONJ schriner-data-2023 48 7 o o X schriner-data-2023 48 8 abadono abadono PROPN schriner-data-2023 48 9 a a DET schriner-data-2023 48 10 b b PROPN schriner-data-2023 48 11 a a NOUN schriner-data-2023 48 12 d d X schriner-data-2023 48 13 o o NOUN schriner-data-2023 48 14 n n CCONJ schriner-data-2023 48 15 o o X schriner-data-2023 48 16 abateco abateco PROPN schriner-data-2023 48 17 a a DET schriner-data-2023 48 18 b b PROPN schriner-data-2023 48 19 a a DET schriner-data-2023 48 20 t t PROPN schriner-data-2023 48 21 e e NOUN schriner-data-2023 48 22 t͡s t͡s NOUN schriner-data-2023 48 23 o o NOUN schriner-data-2023 48 24 abelmanĝulo abelmanĝulo PROPN schriner-data-2023 48 25 a a DET schriner-data-2023 48 26 b b NOUN schriner-data-2023 48 27 e e NOUN schriner-data-2023 49 1 l l NOUN schriner-data-2023 49 2 m m VERB schriner-data-2023 49 3 a a DET schriner-data-2023 49 4 n n PROPN schriner-data-2023 50 1 d͡ʒ d͡ʒ PROPN schriner-data-2023 50 2 u u PROPN schriner-data-2023 51 1 l l PROPN schriner-data-2023 51 2 o o X schriner-data-2023 51 3 abortitaĵo abortitaĵo PROPN schriner-data-2023 51 4 a a DET schriner-data-2023 51 5 b b NOUN schriner-data-2023 51 6 o o X schriner-data-2023 51 7 r r NOUN schriner-data-2023 51 8 t t X schriner-data-2023 51 9 i i PRON schriner-data-2023 51 10 t t VERB schriner-data-2023 51 11 a a DET schriner-data-2023 51 12 ʒ ʒ X schriner-data-2023 52 1 o o NOUN schriner-data-2023 52 2         SPACE schriner-data-2023 52 3 the the DET schriner-data-2023 52 4 tsv tsv NOUN schriner-data-2023 52 5 is be AUX schriner-data-2023 52 6 shuffled shuffle VERB schriner-data-2023 52 7 using use VERB schriner-data-2023 52 8 shuf shuf NOUN schriner-data-2023 52 9 and and CCONJ schriner-data-2023 52 10 then then ADV schriner-data-2023 52 11 split split VERB schriner-data-2023 52 12 into into ADP schriner-data-2023 52 13 three three NUM schriner-data-2023 52 14 tsv tsv NOUN schriner-data-2023 52 15 files file NOUN schriner-data-2023 52 16 : : PUNCT schriner-data-2023 52 17 an an DET schriner-data-2023 52 18 80 80 NUM schriner-data-2023 52 19 % % NOUN schriner-data-2023 52 20 training training NOUN schriner-data-2023 52 21 set set NOUN schriner-data-2023 52 22 , , PUNCT schriner-data-2023 52 23 a a DET schriner-data-2023 52 24 10 10 NUM schriner-data-2023 52 25 % % NOUN schriner-data-2023 52 26 development development NOUN schriner-data-2023 52 27 set set NOUN schriner-data-2023 52 28 , , PUNCT schriner-data-2023 52 29 and and CCONJ schriner-data-2023 52 30 a a DET schriner-data-2023 52 31 10 10 NUM schriner-data-2023 52 32 % % NOUN schriner-data-2023 52 33 test test NOUN schriner-data-2023 52 34 set set VERB schriner-data-2023 52 35 using use VERB schriner-data-2023 52 36 a a DET schriner-data-2023 52 37 python python PROPN schriner-data-2023 52 38 script.[14 script.[14 PROPN schriner-data-2023 52 39 ] ] PUNCT schriner-data-2023 53 1 python3 python3 PROPN schriner-data-2023 53 2 split.py split.py X schriner-data-2023 53 3 \ \ PROPN schriner-data-2023 53 4 --seed --seed CCONJ schriner-data-2023 53 5 103 103 NUM schriner-data-2023 53 6 \ \ PROPN schriner-data-2023 53 7 --input_path --input_path PROPN schriner-data-2023 53 8 epo.tsv epo.tsv PROPN schriner-data-2023 53 9 \ \ PROPN schriner-data-2023 53 10 --train_path --train_path PROPN schriner-data-2023 53 11 epo_train.tsv epo_train.tsv PROPN schriner-data-2023 53 12 \ \ PROPN schriner-data-2023 53 13 --dev_path --dev_path PROPN schriner-data-2023 53 14 epo_dev.tsv epo_dev.tsv PROPN schriner-data-2023 53 15 \ \ PROPN schriner-data-2023 53 16 --test_path --test_path PROPN schriner-data-2023 53 17 epo_train.tsv epo_train.tsv PROPN schriner-data-2023 53 18     SPACE schriner-data-2023 53 19 to to PART schriner-data-2023 53 20 prepare prepare VERB schriner-data-2023 53 21 the the DET schriner-data-2023 53 22 data datum NOUN schriner-data-2023 53 23 for for ADP schriner-data-2023 53 24 fairseq fairseq NOUN schriner-data-2023 53 25 , , PUNCT schriner-data-2023 53 26 the the DET schriner-data-2023 53 27 important important ADJ schriner-data-2023 53 28 part part NOUN schriner-data-2023 53 29 of of ADP schriner-data-2023 53 30 the the DET schriner-data-2023 53 31 code code NOUN schriner-data-2023 53 32 to to PART schriner-data-2023 53 33 note note VERB schriner-data-2023 53 34 is be AUX schriner-data-2023 53 35 that that SCONJ schriner-data-2023 53 36 each each PRON schriner-data-2023 53 37 of of ADP schriner-data-2023 53 38 the the DET schriner-data-2023 53 39 three three NUM schriner-data-2023 53 40 tsv tsv NOUN schriner-data-2023 53 41 files file NOUN schriner-data-2023 53 42 are be AUX schriner-data-2023 53 43 then then ADV schriner-data-2023 53 44 split split VERB schriner-data-2023 53 45 into into ADP schriner-data-2023 53 46 .g .g PROPN schriner-data-2023 53 47 ( ( PUNCT schriner-data-2023 53 48 for for ADP schriner-data-2023 53 49 grapheme grapheme NOUN schriner-data-2023 53 50 ) ) PUNCT schriner-data-2023 53 51 and and CCONJ schriner-data-2023 53 52 .p .p PROPN schriner-data-2023 53 53 ( ( PUNCT schriner-data-2023 53 54 for for ADP schriner-data-2023 53 55 phoneme phoneme NOUN schriner-data-2023 53 56 ) ) PUNCT schriner-data-2023 53 57 files file NOUN schriner-data-2023 53 58 for for ADP schriner-data-2023 53 59 training training NOUN schriner-data-2023 53 60 , , PUNCT schriner-data-2023 53 61 dev dev NOUN schriner-data-2023 53 62 , , PUNCT schriner-data-2023 53 63 and and CCONJ schriner-data-2023 53 64 test test NOUN schriner-data-2023 53 65 : : PUNCT schriner-data-2023 53 66 import import VERB schriner-data-2023 53 67 contextlib contextlib PROPN schriner-data-2023 53 68 import import PROPN schriner-data-2023 53 69 csv csv NOUN schriner-data-2023 53 70 # # PROPN schriner-data-2023 53 71 data datum NOUN schriner-data-2023 53 72 was be AUX schriner-data-2023 53 73 shuffled shuffle VERB schriner-data-2023 53 74 using use VERB schriner-data-2023 53 75 ` ` PUNCT schriner-data-2023 53 76 shuf shuf ADJ schriner-data-2023 53 77 ` ` PUNCT schriner-data-2023 53 78 and and CCONJ schriner-data-2023 53 79 split split VERB schriner-data-2023 53 80 80 80 NUM schriner-data-2023 53 81 - - SYM schriner-data-2023 53 82 10 10 NUM schriner-data-2023 53 83 - - SYM schriner-data-2023 53 84 10 10 NUM schriner-data-2023 53 85 using use VERB schriner-data-2023 53 86 ` ` PUNCT schriner-data-2023 53 87 split.py split.py SPACE schriner-data-2023 53 88 ` ` PUNCT schriner-data-2023 53 89 train train NOUN schriner-data-2023 53 90 = = SYM schriner-data-2023 53 91 " " PUNCT schriner-data-2023 53 92 epo_train.tsv epo_train.tsv PROPN schriner-data-2023 53 93 " " PUNCT schriner-data-2023 53 94 train_g train_g NOUN schriner-data-2023 53 95 = = SYM schriner-data-2023 53 96 " " PUNCT schriner-data-2023 53 97 train.epo.g train.epo.g X schriner-data-2023 53 98 " " PUNCT schriner-data-2023 53 99 train_p train_p X schriner-data-2023 53 100 = = PUNCT schriner-data-2023 53 101 " " PUNCT schriner-data-2023 53 102 train.epo.p train.epo.p X schriner-data-2023 53 103 " " PUNCT schriner-data-2023 53 104 dev dev NOUN schriner-data-2023 53 105 = = SYM schriner-data-2023 53 106 " " PUNCT schriner-data-2023 53 107 epo_dev.tsv epo_dev.tsv PROPN schriner-data-2023 53 108 " " PUNCT schriner-data-2023 53 109 dev_g dev_g NOUN schriner-data-2023 53 110 = = PUNCT schriner-data-2023 53 111 " " PUNCT schriner-data-2023 53 112 dev.epo.g dev.epo.g X schriner-data-2023 53 113 " " PUNCT schriner-data-2023 53 114 dev_p dev_p X schriner-data-2023 53 115 = = SYM schriner-data-2023 53 116 " " PUNCT schriner-data-2023 53 117 dev.epo.p dev.epo.p PROPN schriner-data-2023 53 118 " " PUNCT schriner-data-2023 53 119 test test NOUN schriner-data-2023 53 120 = = SYM schriner-data-2023 53 121 " " PUNCT schriner-data-2023 53 122 epo_test.tsv epo_test.tsv PROPN schriner-data-2023 53 123 " " PUNCT schriner-data-2023 53 124 test_g test_g PROPN schriner-data-2023 53 125 = = SYM schriner-data-2023 53 126 " " PUNCT schriner-data-2023 53 127 test.epo.g test.epo.g X schriner-data-2023 53 128 " " PUNCT schriner-data-2023 53 129 test_p test_p ADV schriner-data-2023 53 130 = = PUNCT schriner-data-2023 53 131 " " PUNCT schriner-data-2023 53 132 test.epo.p test.epo.p ADV schriner-data-2023 53 133 " " PUNCT schriner-data-2023 53 134 # # NOUN schriner-data-2023 53 135 processes process VERB schriner-data-2023 53 136 training training NOUN schriner-data-2023 53 137 data datum NOUN schriner-data-2023 53 138 . . PUNCT schriner-data-2023 54 1 with with ADP schriner-data-2023 54 2 contextlib.exitstack contextlib.exitstack PROPN schriner-data-2023 54 3 ( ( PUNCT schriner-data-2023 54 4 ) ) PUNCT schriner-data-2023 54 5 as as ADP schriner-data-2023 54 6 stack stack NOUN schriner-data-2023 54 7 : : PUNCT schriner-data-2023 54 8 source source NOUN schriner-data-2023 54 9 = = PUNCT schriner-data-2023 54 10 csv.reader(stack.enter_context(open(train csv.reader(stack.enter_context(open(train PROPN schriner-data-2023 54 11 , , PUNCT schriner-data-2023 54 12 " " PUNCT schriner-data-2023 54 13 r r NOUN schriner-data-2023 54 14 " " PUNCT schriner-data-2023 54 15 ) ) PUNCT schriner-data-2023 54 16 ) ) PUNCT schriner-data-2023 54 17 , , PUNCT schriner-data-2023 54 18 delimiter="\t delimiter="\t NOUN schriner-data-2023 54 19 " " PUNCT schriner-data-2023 54 20 ) ) PUNCT schriner-data-2023 54 21 g g NOUN schriner-data-2023 54 22 = = PUNCT schriner-data-2023 54 23 stack.enter_context(open(train_g stack.enter_context(open(train_g PROPN schriner-data-2023 54 24 , , PUNCT schriner-data-2023 54 25 " " PUNCT schriner-data-2023 54 26 w w X schriner-data-2023 54 27 " " PUNCT schriner-data-2023 54 28 ) ) PUNCT schriner-data-2023 54 29 ) ) PUNCT schriner-data-2023 55 1 p p NOUN schriner-data-2023 55 2 = = PUNCT schriner-data-2023 55 3 stack.enter_context(open(train_p stack.enter_context(open(train_p NOUN schriner-data-2023 55 4 , , PUNCT schriner-data-2023 55 5 " " PUNCT schriner-data-2023 55 6 w w X schriner-data-2023 55 7 " " PUNCT schriner-data-2023 55 8 ) ) PUNCT schriner-data-2023 55 9 ) ) PUNCT schriner-data-2023 55 10 for for ADP schriner-data-2023 55 11 graphemes grapheme NOUN schriner-data-2023 55 12 , , PUNCT schriner-data-2023 55 13 phones phone NOUN schriner-data-2023 55 14 in in ADP schriner-data-2023 55 15 source source NOUN schriner-data-2023 55 16 : : PUNCT schriner-data-2023 55 17 print print NOUN schriner-data-2023 55 18 ( ( PUNCT schriner-data-2023 55 19 " " PUNCT schriner-data-2023 55 20 " " PUNCT schriner-data-2023 55 21 .join(graphemes .join(graphemes NUM schriner-data-2023 55 22 ) ) PUNCT schriner-data-2023 55 23 , , PUNCT schriner-data-2023 55 24 file file NOUN schriner-data-2023 55 25 = = NOUN schriner-data-2023 55 26 g g NOUN schriner-data-2023 55 27 ) ) PUNCT schriner-data-2023 55 28 print(phones print(phones PROPN schriner-data-2023 55 29 , , PUNCT schriner-data-2023 55 30 file file NOUN schriner-data-2023 55 31 = = SYM schriner-data-2023 55 32 p p NOUN schriner-data-2023 55 33 ) ) PUNCT schriner-data-2023 55 34 # # PROPN schriner-data-2023 55 35 processes process VERB schriner-data-2023 55 36 development development NOUN schriner-data-2023 55 37 data datum NOUN schriner-data-2023 55 38 . . PUNCT schriner-data-2023 56 1 with with ADP schriner-data-2023 56 2 contextlib.exitstack contextlib.exitstack PROPN schriner-data-2023 56 3 ( ( PUNCT schriner-data-2023 56 4 ) ) PUNCT schriner-data-2023 56 5 as as ADP schriner-data-2023 56 6 stack stack NOUN schriner-data-2023 56 7 : : PUNCT schriner-data-2023 56 8 source source NOUN schriner-data-2023 56 9 = = X schriner-data-2023 56 10 csv.reader(stack.enter_context(open(dev csv.reader(stack.enter_context(open(dev INTJ schriner-data-2023 56 11 , , PUNCT schriner-data-2023 56 12 " " PUNCT schriner-data-2023 56 13 r r NOUN schriner-data-2023 56 14 " " PUNCT schriner-data-2023 56 15 ) ) PUNCT schriner-data-2023 56 16 ) ) PUNCT schriner-data-2023 56 17 , , PUNCT schriner-data-2023 56 18 delimiter="\t delimiter="\t NOUN schriner-data-2023 56 19 " " PUNCT schriner-data-2023 56 20 ) ) PUNCT schriner-data-2023 56 21 g g NOUN schriner-data-2023 56 22 = = X schriner-data-2023 56 23 stack.enter_context(open(dev_g stack.enter_context(open(dev_g NOUN schriner-data-2023 56 24 , , PUNCT schriner-data-2023 56 25 " " PUNCT schriner-data-2023 56 26 w w X schriner-data-2023 56 27 " " PUNCT schriner-data-2023 56 28 ) ) PUNCT schriner-data-2023 56 29 ) ) PUNCT schriner-data-2023 57 1 p p NOUN schriner-data-2023 57 2 = = NOUN schriner-data-2023 57 3 stack.enter_context(open(dev_p stack.enter_context(open(dev_p PROPN schriner-data-2023 57 4 , , PUNCT schriner-data-2023 57 5 " " PUNCT schriner-data-2023 57 6 w w X schriner-data-2023 57 7 " " PUNCT schriner-data-2023 57 8 ) ) PUNCT schriner-data-2023 57 9 ) ) PUNCT schriner-data-2023 57 10 for for ADP schriner-data-2023 57 11 graphemes grapheme NOUN schriner-data-2023 57 12 , , PUNCT schriner-data-2023 57 13 phones phone NOUN schriner-data-2023 57 14 in in ADP schriner-data-2023 57 15 source source NOUN schriner-data-2023 57 16 : : PUNCT schriner-data-2023 57 17 print print NOUN schriner-data-2023 57 18 ( ( PUNCT schriner-data-2023 57 19 " " PUNCT schriner-data-2023 57 20 " " PUNCT schriner-data-2023 57 21 .join(graphemes .join(graphemes NUM schriner-data-2023 57 22 ) ) PUNCT schriner-data-2023 57 23 , , PUNCT schriner-data-2023 57 24 file file NOUN schriner-data-2023 57 25 = = NOUN schriner-data-2023 57 26 g g NOUN schriner-data-2023 57 27 ) ) PUNCT schriner-data-2023 57 28 print(phones print(phones PROPN schriner-data-2023 57 29 , , PUNCT schriner-data-2023 57 30 file file NOUN schriner-data-2023 57 31 = = SYM schriner-data-2023 57 32 p p NOUN schriner-data-2023 57 33 ) ) PUNCT schriner-data-2023 57 34 # # PROPN schriner-data-2023 57 35 processes process NOUN schriner-data-2023 57 36 test test NOUN schriner-data-2023 57 37 data datum NOUN schriner-data-2023 57 38 . . PUNCT schriner-data-2023 58 1 with with ADP schriner-data-2023 58 2 contextlib.exitstack contextlib.exitstack PROPN schriner-data-2023 58 3 ( ( PUNCT schriner-data-2023 58 4 ) ) PUNCT schriner-data-2023 58 5 as as ADP schriner-data-2023 58 6 stack stack NOUN schriner-data-2023 58 7 : : PUNCT schriner-data-2023 58 8 source source NOUN schriner-data-2023 58 9 = = PUNCT schriner-data-2023 58 10 csv.reader(stack.enter_context(open(test csv.reader(stack.enter_context(open(test PROPN schriner-data-2023 58 11 , , PUNCT schriner-data-2023 58 12 " " PUNCT schriner-data-2023 58 13 r r NOUN schriner-data-2023 58 14 " " PUNCT schriner-data-2023 58 15 ) ) PUNCT schriner-data-2023 58 16 ) ) PUNCT schriner-data-2023 58 17 , , PUNCT schriner-data-2023 58 18 delimiter="\t delimiter="\t NOUN schriner-data-2023 58 19 " " PUNCT schriner-data-2023 58 20 ) ) PUNCT schriner-data-2023 58 21 g g PROPN schriner-data-2023 58 22 = = X schriner-data-2023 58 23 stack.enter_context(open(test_g stack.enter_context(open(test_g PROPN schriner-data-2023 58 24 , , PUNCT schriner-data-2023 58 25 " " PUNCT schriner-data-2023 58 26 w w X schriner-data-2023 58 27 " " PUNCT schriner-data-2023 58 28 ) ) PUNCT schriner-data-2023 58 29 ) ) PUNCT schriner-data-2023 59 1 p p NOUN schriner-data-2023 59 2 = = NOUN schriner-data-2023 59 3 stack.enter_context(open(test_p stack.enter_context(open(test_p PROPN schriner-data-2023 59 4 , , PUNCT schriner-data-2023 59 5 " " PUNCT schriner-data-2023 59 6 w w X schriner-data-2023 59 7 " " PUNCT schriner-data-2023 59 8 ) ) PUNCT schriner-data-2023 59 9 ) ) PUNCT schriner-data-2023 59 10 for for ADP schriner-data-2023 59 11 graphemes grapheme NOUN schriner-data-2023 59 12 , , PUNCT schriner-data-2023 59 13 phones phone NOUN schriner-data-2023 59 14 in in ADP schriner-data-2023 59 15 source source NOUN schriner-data-2023 59 16 : : PUNCT schriner-data-2023 59 17 print print NOUN schriner-data-2023 59 18 ( ( PUNCT schriner-data-2023 59 19 " " PUNCT schriner-data-2023 59 20 " " PUNCT schriner-data-2023 59 21 .join(graphemes .join(graphemes NUM schriner-data-2023 59 22 ) ) PUNCT schriner-data-2023 59 23 , , PUNCT schriner-data-2023 59 24 file file NOUN schriner-data-2023 59 25 = = NOUN schriner-data-2023 59 26 g g NOUN schriner-data-2023 59 27 ) ) PUNCT schriner-data-2023 59 28 print(phones print(phones PROPN schriner-data-2023 59 29 , , PUNCT schriner-data-2023 59 30 file file NOUN schriner-data-2023 59 31 = = SYM schriner-data-2023 59 32 p p NOUN schriner-data-2023 59 33 ) ) PUNCT schriner-data-2023 59 34     SPACE schriner-data-2023 59 35 as as SCONJ schriner-data-2023 59 36 shown show VERB schriner-data-2023 59 37 above above ADV schriner-data-2023 59 38 in in ADP schriner-data-2023 59 39 table table NOUN schriner-data-2023 59 40 1 1 NUM schriner-data-2023 59 41 , , PUNCT schriner-data-2023 59 42 the the DET schriner-data-2023 59 43 second second ADJ schriner-data-2023 59 44 column column NOUN schriner-data-2023 59 45 characters character NOUN schriner-data-2023 59 46 were be AUX schriner-data-2023 59 47 already already ADV schriner-data-2023 59 48 spaced space VERB schriner-data-2023 59 49 correctly correctly ADV schriner-data-2023 59 50 , , PUNCT schriner-data-2023 59 51 so so ADV schriner-data-2023 59 52 we we PRON schriner-data-2023 59 53 needed need VERB schriner-data-2023 59 54 to to PART schriner-data-2023 59 55 add add VERB schriner-data-2023 59 56 spaces space NOUN schriner-data-2023 59 57 to to ADP schriner-data-2023 59 58 only only ADV schriner-data-2023 59 59 the the DET schriner-data-2023 59 60 first first ADJ schriner-data-2023 59 61 column column NOUN schriner-data-2023 59 62 . . PUNCT schriner-data-2023 60 1 the the DET schriner-data-2023 60 2 result result NOUN schriner-data-2023 60 3 is be AUX schriner-data-2023 60 4 two two NUM schriner-data-2023 60 5 files file NOUN schriner-data-2023 60 6 for for ADP schriner-data-2023 60 7 each each PRON schriner-data-2023 60 8 set set VERB schriner-data-2023 60 9 with with ADP schriner-data-2023 60 10 spaced spaced ADJ schriner-data-2023 60 11 characters character NOUN schriner-data-2023 60 12 : : PUNCT schriner-data-2023 60 13     SPACE schriner-data-2023 60 14 table table NOUN schriner-data-2023 60 15 2 2 NUM schriner-data-2023 60 16 . . PUNCT schriner-data-2023 61 1 example example NOUN schriner-data-2023 61 2 of of ADP schriner-data-2023 61 3 data datum NOUN schriner-data-2023 61 4 ready ready ADJ schriner-data-2023 61 5 for for ADP schriner-data-2023 61 6 fairseq fairseq NOUN schriner-data-2023 61 7 . . PUNCT schriner-data-2023 61 8     SPACE schriner-data-2023 62 1 train.epo.g train.epo.g X schriner-data-2023 62 2 train.epo.p train.epo.p X schriner-data-2023 62 3 s s VERB schriner-data-2023 62 4 t t PROPN schriner-data-2023 62 5 a a DET schriner-data-2023 62 6 c c NOUN schriner-data-2023 63 1 i i X schriner-data-2023 63 2 o o X schriner-data-2023 63 3 s s VERB schriner-data-2023 63 4 t t PROPN schriner-data-2023 63 5 a a DET schriner-data-2023 63 6 t͡s t͡s NOUN schriner-data-2023 64 1 i i NOUN schriner-data-2023 64 2 o o X schriner-data-2023 64 3 o o VERB schriner-data-2023 64 4 m m VERB schriner-data-2023 64 5 a a PRON schriner-data-2023 64 6 ĝ ĝ NOUN schriner-data-2023 64 7 o o X schriner-data-2023 64 8 o o NOUN schriner-data-2023 64 9 m m VERB schriner-data-2023 64 10 a a DET schriner-data-2023 64 11 d͡ʒ d͡ʒ ADJ schriner-data-2023 64 12 o o NOUN schriner-data-2023 65 1 ĉ ĉ ADP schriner-data-2023 65 2 i i PRON schriner-data-2023 65 3 r r X schriner-data-2023 65 4 k k X schriner-data-2023 66 1 a a DET schriner-data-2023 66 2 ŭ ŭ X schriner-data-2023 66 3 f f X schriner-data-2023 66 4 l l INTJ schriner-data-2023 66 5 a a DET schriner-data-2023 66 6 t t PROPN schriner-data-2023 66 7 a a DET schriner-data-2023 66 8 d d NOUN schriner-data-2023 66 9 i i PRON schriner-data-2023 66 10 t͡ʃ t͡ʃ NOUN schriner-data-2023 67 1 i i PRON schriner-data-2023 67 2 r r X schriner-data-2023 67 3 k k X schriner-data-2023 68 1 a a DET schriner-data-2023 68 2 w w PROPN schriner-data-2023 68 3 f f X schriner-data-2023 68 4 l l PROPN schriner-data-2023 68 5 a a DET schriner-data-2023 68 6 t t PROPN schriner-data-2023 69 1 a a DET schriner-data-2023 69 2 d d NOUN schriner-data-2023 69 3 i i PRON schriner-data-2023 69 4         SPACE schriner-data-2023 69 5 the the DET schriner-data-2023 69 6 generated generate VERB schriner-data-2023 69 7 files file NOUN schriner-data-2023 69 8 are be AUX schriner-data-2023 69 9 now now ADV schriner-data-2023 69 10 ready ready ADJ schriner-data-2023 69 11 for for ADP schriner-data-2023 69 12 pre pre ADJ schriner-data-2023 69 13 - - ADJ schriner-data-2023 69 14 processing processing NOUN schriner-data-2023 69 15 in in ADP schriner-data-2023 69 16 fairseq fairseq NOUN schriner-data-2023 69 17 : : PUNCT schriner-data-2023 69 18 fairseq fairseq NOUN schriner-data-2023 69 19 - - PUNCT schriner-data-2023 69 20 preprocess preprocess NOUN schriner-data-2023 69 21 \ \ PROPN schriner-data-2023 69 22 --source --source SPACE schriner-data-2023 69 23 - - PUNCT schriner-data-2023 69 24 lang lang PROPN schriner-data-2023 69 25 epo.g epo.g X schriner-data-2023 69 26 \ \ PROPN schriner-data-2023 69 27 --target --target PROPN schriner-data-2023 69 28 - - PUNCT schriner-data-2023 69 29 lang lang PROPN schriner-data-2023 69 30 epo.p epo.p X schriner-data-2023 69 31 \ \ PROPN schriner-data-2023 69 32 --trainpref --trainpref PROPN schriner-data-2023 69 33 train train PROPN schriner-data-2023 69 34 \ \ PROPN schriner-data-2023 69 35 --validpref --validpref PROPN schriner-data-2023 69 36 dev dev PROPN schriner-data-2023 69 37 \ \ PROPN schriner-data-2023 69 38 --testpref --testpref PROPN schriner-data-2023 69 39 test test PROPN schriner-data-2023 69 40 \ \ PROPN schriner-data-2023 69 41 --tokenizer --tokenizer PROPN schriner-data-2023 69 42 space space PROPN schriner-data-2023 69 43 \ \ PROPN schriner-data-2023 69 44 --thresholdsrc --thresholdsrc PRON schriner-data-2023 69 45 2 2 NUM schriner-data-2023 69 46 \ \ PROPN schriner-data-2023 69 47 --thresholdtgt --thresholdtgt X schriner-data-2023 69 48 2 2 NUM schriner-data-2023 69 49     SPACE schriner-data-2023 69 50 this this DET schriner-data-2023 69 51 pre pre ADJ schriner-data-2023 69 52 - - ADJ schriner-data-2023 69 53 processing processing NOUN schriner-data-2023 69 54 creates create VERB schriner-data-2023 69 55 a a DET schriner-data-2023 69 56 folder folder NOUN schriner-data-2023 69 57 called call VERB schriner-data-2023 69 58 data data NOUN schriner-data-2023 69 59 - - PUNCT schriner-data-2023 69 60 bin bin NOUN schriner-data-2023 69 61 with with ADP schriner-data-2023 69 62 binaries binary NOUN schriner-data-2023 69 63 and and CCONJ schriner-data-2023 69 64 a a DET schriner-data-2023 69 65 log log NOUN schriner-data-2023 69 66 file file NOUN schriner-data-2023 69 67 that that PRON schriner-data-2023 69 68 provides provide VERB schriner-data-2023 69 69 the the DET schriner-data-2023 69 70 number number NOUN schriner-data-2023 69 71 of of ADP schriner-data-2023 69 72 tokens token NOUN schriner-data-2023 69 73 found find VERB schriner-data-2023 69 74 . . PUNCT schriner-data-2023 69 75     SPACE schriner-data-2023 70 1 we we PRON schriner-data-2023 70 2 can can AUX schriner-data-2023 70 3 now now ADV schriner-data-2023 70 4 start start VERB schriner-data-2023 70 5 the the DET schriner-data-2023 70 6 training training NOUN schriner-data-2023 70 7 : : PUNCT schriner-data-2023 70 8 fairseq fairseq NOUN schriner-data-2023 70 9 - - PUNCT schriner-data-2023 70 10 train train NOUN schriner-data-2023 70 11 \ \ PROPN schriner-data-2023 70 12 --data --data PROPN schriner-data-2023 70 13 - - PUNCT schriner-data-2023 70 14 bin bin PROPN schriner-data-2023 70 15 \ \ X schriner-data-2023 70 16 --source --source SPACE schriner-data-2023 70 17 - - PUNCT schriner-data-2023 70 18 lang lang PROPN schriner-data-2023 70 19 epo.g epo.g X schriner-data-2023 70 20 \ \ PROPN schriner-data-2023 70 21 --target --target PROPN schriner-data-2023 70 22 - - PUNCT schriner-data-2023 70 23 lang lang PROPN schriner-data-2023 70 24 epo.p epo.p X schriner-data-2023 70 25 \ \ PROPN schriner-data-2023 70 26 --encoder --encoder SPACE schriner-data-2023 70 27 - - PUNCT schriner-data-2023 70 28 bidirectional bidirectional ADJ schriner-data-2023 70 29 \ \ PROPN schriner-data-2023 70 30 --seed --seed PUNCT schriner-data-2023 70 31 { { PUNCT schriner-data-2023 70 32 choose choose VERB schriner-data-2023 70 33 a a DET schriner-data-2023 70 34 random random ADJ schriner-data-2023 70 35 whole whole ADJ schriner-data-2023 70 36 numeral numeral ADJ schriner-data-2023 70 37 } } PUNCT schriner-data-2023 70 38 \ \ PROPN schriner-data-2023 70 39 --arch --arch PROPN schriner-data-2023 70 40 lstm lstm PROPN schriner-data-2023 70 41 \ \ PROPN schriner-data-2023 70 42 --dropout --dropout PUNCT schriner-data-2023 70 43 0.2 0.2 NUM schriner-data-2023 70 44 \ \ PROPN schriner-data-2023 70 45 --lr --lr PROPN schriner-data-2023 70 46 .001 .001 PROPN schriner-data-2023 70 47 \ \ PROPN schriner-data-2023 70 48 --max --max X schriner-data-2023 70 49 - - PUNCT schriner-data-2023 70 50 update update NOUN schriner-data-2023 70 51 800 800 NUM schriner-data-2023 70 52 \ \ PROPN schriner-data-2023 70 53 --no --no PROPN schriner-data-2023 70 54 - - PUNCT schriner-data-2023 70 55 epoch epoch NOUN schriner-data-2023 70 56 - - PUNCT schriner-data-2023 70 57 checkpoints checkpoint NOUN schriner-data-2023 70 58 \ \ ADJ schriner-data-2023 70 59 --batch --batch SPACE schriner-data-2023 70 60 - - PUNCT schriner-data-2023 70 61 size size NOUN schriner-data-2023 70 62 3000 3000 NUM schriner-data-2023 70 63 \ \ PROPN schriner-data-2023 70 64 --clip --clip SPACE schriner-data-2023 70 65 - - PUNCT schriner-data-2023 70 66 norm norm NOUN schriner-data-2023 70 67 1 1 NUM schriner-data-2023 70 68 \ \ PROPN schriner-data-2023 70 69 --label --label SPACE schriner-data-2023 70 70 - - PUNCT schriner-data-2023 70 71 smoothing smoothing PROPN schriner-data-2023 70 72 .1 .1 PROPN schriner-data-2023 71 1 \ \ PROPN schriner-data-2023 71 2 --optimizer --optimizer PROPN schriner-data-2023 71 3 adam adam PROPN schriner-data-2023 71 4 \ \ PROPN schriner-data-2023 71 5 --clip --clip SPACE schriner-data-2023 71 6 - - PUNCT schriner-data-2023 71 7 norm norm NOUN schriner-data-2023 71 8 1 1 NUM schriner-data-2023 71 9 \ \ PROPN schriner-data-2023 71 10 --criterion --criterion NOUN schriner-data-2023 71 11 label_smoothed_cross_entropy label_smoothed_cross_entropy PROPN schriner-data-2023 71 12 \ \ PROPN schriner-data-2023 71 13 --encoder --encoder SPACE schriner-data-2023 71 14 - - PUNCT schriner-data-2023 71 15 embed embe VERB schriner-data-2023 71 16 - - PUNCT schriner-data-2023 71 17 dim dim ADJ schriner-data-2023 71 18 128 128 NUM schriner-data-2023 71 19 \ \ ADJ schriner-data-2023 71 20 --decoder --decoder VERB schriner-data-2023 71 21 - - PUNCT schriner-data-2023 71 22 embed embe VERB schriner-data-2023 71 23 - - PUNCT schriner-data-2023 71 24 dim dim ADJ schriner-data-2023 71 25 128 128 NUM schriner-data-2023 71 26 \ \ ADJ schriner-data-2023 71 27 --encoder --encoder NOUN schriner-data-2023 71 28 - - PUNCT schriner-data-2023 71 29 layers layer NOUN schriner-data-2023 71 30 1 1 NUM schriner-data-2023 71 31 \ \ ADJ schriner-data-2023 71 32 --decoder --decoder NOUN schriner-data-2023 71 33 - - PUNCT schriner-data-2023 71 34 layers layer NOUN schriner-data-2023 71 35 1 1 NUM schriner-data-2023 71 36     SPACE schriner-data-2023 71 37 with with ADP schriner-data-2023 71 38 these these DET schriner-data-2023 71 39 parameters parameter NOUN schriner-data-2023 71 40 it it PRON schriner-data-2023 71 41 took take VERB schriner-data-2023 71 42 my my PRON schriner-data-2023 71 43 machine[15 machine[15 NOUN schriner-data-2023 71 44 ] ] PUNCT schriner-data-2023 71 45 a a DET schriner-data-2023 71 46 half half ADJ schriner-data-2023 71 47 - - PUNCT schriner-data-2023 71 48 hour hour NOUN schriner-data-2023 71 49 to to PART schriner-data-2023 71 50 train train VERB schriner-data-2023 71 51 . . PUNCT schriner-data-2023 71 52     SPACE schriner-data-2023 72 1 tweaking tweak VERB schriner-data-2023 72 2 the the DET schriner-data-2023 72 3 max max PROPN schriner-data-2023 72 4 - - PUNCT schriner-data-2023 72 5 updates update NOUN schriner-data-2023 72 6 , , PUNCT schriner-data-2023 72 7 the the DET schriner-data-2023 72 8 number number NOUN schriner-data-2023 72 9 of of ADP schriner-data-2023 72 10 encoding encode VERB schriner-data-2023 72 11 layers layer NOUN schriner-data-2023 72 12 , , PUNCT schriner-data-2023 72 13 the the DET schriner-data-2023 72 14 architecture architecture NOUN schriner-data-2023 72 15 , , PUNCT schriner-data-2023 72 16 or or CCONJ schriner-data-2023 72 17 the the DET schriner-data-2023 72 18 optimizer optimizer NOUN schriner-data-2023 72 19 ( ( PUNCT schriner-data-2023 72 20 e.g. e.g. X schriner-data-2023 72 21 transformer transformer VERB schriner-data-2023 72 22 instead instead ADV schriner-data-2023 72 23 of of ADP schriner-data-2023 72 24 adam adam PROPN schriner-data-2023 72 25 ) ) PUNCT schriner-data-2023 72 26 will will AUX schriner-data-2023 72 27 provide provide VERB schriner-data-2023 72 28 different different ADJ schriner-data-2023 72 29 , , PUNCT schriner-data-2023 72 30 and and CCONJ schriner-data-2023 72 31 perhaps perhaps ADV schriner-data-2023 72 32 better well ADJ schriner-data-2023 72 33 results result NOUN schriner-data-2023 72 34 . . PUNCT schriner-data-2023 72 35     SPACE schriner-data-2023 73 1 doubling double VERB schriner-data-2023 73 2 the the DET schriner-data-2023 73 3 encoder encoder NOUN schriner-data-2023 73 4 and and CCONJ schriner-data-2023 73 5 decoder decoder NOUN schriner-data-2023 73 6 layers layer NOUN schriner-data-2023 73 7 , , PUNCT schriner-data-2023 73 8 or or CCONJ schriner-data-2023 73 9 doubling double VERB schriner-data-2023 73 10 the the DET schriner-data-2023 73 11 encoder encoder NOUN schriner-data-2023 73 12 and and CCONJ schriner-data-2023 73 13 decoder decoder NOUN schriner-data-2023 73 14 dimensions dimension NOUN schriner-data-2023 73 15 to to ADP schriner-data-2023 73 16 256 256 NUM schriner-data-2023 73 17 slowed slow VERB schriner-data-2023 73 18 the the DET schriner-data-2023 73 19 processing processing NOUN schriner-data-2023 73 20 time time NOUN schriner-data-2023 73 21 significantly significantly ADV schriner-data-2023 73 22 , , PUNCT schriner-data-2023 73 23 without without ADP schriner-data-2023 73 24 improving improve VERB schriner-data-2023 73 25 the the DET schriner-data-2023 73 26 model model NOUN schriner-data-2023 73 27 in in ADP schriner-data-2023 73 28 this this DET schriner-data-2023 73 29 case case NOUN schriner-data-2023 73 30 . . PUNCT schriner-data-2023 73 31     SPACE schriner-data-2023 74 1 the the DET schriner-data-2023 74 2 training training NOUN schriner-data-2023 74 3 part part NOUN schriner-data-2023 74 4 of of ADP schriner-data-2023 74 5 these these DET schriner-data-2023 74 6 experiments experiment NOUN schriner-data-2023 74 7 is be AUX schriner-data-2023 74 8 meant mean VERB schriner-data-2023 74 9 to to PART schriner-data-2023 74 10 help help VERB schriner-data-2023 74 11 us we PRON schriner-data-2023 74 12 decide decide VERB schriner-data-2023 74 13 on on ADP schriner-data-2023 74 14 which which PRON schriner-data-2023 74 15 parameters parameter NOUN schriner-data-2023 74 16 we we PRON schriner-data-2023 74 17 hope hope VERB schriner-data-2023 74 18 will will AUX schriner-data-2023 74 19 yield yield VERB schriner-data-2023 74 20 the the DET schriner-data-2023 74 21 best good ADJ schriner-data-2023 74 22 results result NOUN schriner-data-2023 74 23 from from ADP schriner-data-2023 74 24 many many ADJ schriner-data-2023 74 25 different different ADJ schriner-data-2023 74 26 options.[16 options.[16 ADV schriner-data-2023 74 27 ] ] PUNCT schriner-data-2023 74 28     SPACE schriner-data-2023 74 29 we we PRON schriner-data-2023 74 30 ’ll ’ll AUX schriner-data-2023 74 31 run run VERB schriner-data-2023 74 32 this this DET schriner-data-2023 74 33 training training NOUN schriner-data-2023 74 34 several several ADJ schriner-data-2023 74 35 times time NOUN schriner-data-2023 74 36 with with ADP schriner-data-2023 74 37 different different ADJ schriner-data-2023 74 38 parameters parameter NOUN schriner-data-2023 74 39 and and CCONJ schriner-data-2023 74 40 choose choose VERB schriner-data-2023 74 41 three three NUM schriner-data-2023 74 42 models model NOUN schriner-data-2023 74 43 . . PUNCT schriner-data-2023 74 44     SPACE schriner-data-2023 75 1 the the DET schriner-data-2023 75 2 dev dev NOUN schriner-data-2023 75 3 part part NOUN schriner-data-2023 75 4 ( ( PUNCT schriner-data-2023 75 5 10 10 NUM schriner-data-2023 75 6 % % NOUN schriner-data-2023 75 7 ) ) PUNCT schriner-data-2023 75 8 of of ADP schriner-data-2023 75 9 the the DET schriner-data-2023 75 10 experiment experiment NOUN schriner-data-2023 75 11 is be AUX schriner-data-2023 75 12 meant mean VERB schriner-data-2023 75 13 to to PART schriner-data-2023 75 14 choose choose VERB schriner-data-2023 75 15 the the DET schriner-data-2023 75 16 model model NOUN schriner-data-2023 75 17 that that PRON schriner-data-2023 75 18 performs perform VERB schriner-data-2023 75 19 the the DET schriner-data-2023 75 20 best good ADJ schriner-data-2023 75 21 on on ADP schriner-data-2023 75 22 the the DET schriner-data-2023 75 23 dev dev NOUN schriner-data-2023 75 24 set set NOUN schriner-data-2023 75 25 . . PUNCT schriner-data-2023 75 26     SPACE schriner-data-2023 76 1 lastly lastly ADV schriner-data-2023 76 2 , , PUNCT schriner-data-2023 76 3 confident confident ADJ schriner-data-2023 76 4 on on ADP schriner-data-2023 76 5 our our PRON schriner-data-2023 76 6 model model NOUN schriner-data-2023 76 7 , , PUNCT schriner-data-2023 76 8 we we PRON schriner-data-2023 76 9 ’ll ’ll AUX schriner-data-2023 76 10 use use VERB schriner-data-2023 76 11 that that DET schriner-data-2023 76 12 model model NOUN schriner-data-2023 76 13 on on ADP schriner-data-2023 76 14 the the DET schriner-data-2023 76 15 test test NOUN schriner-data-2023 76 16 set set NOUN schriner-data-2023 76 17 , , PUNCT schriner-data-2023 76 18 as as ADP schriner-data-2023 76 19 yet yet ADV schriner-data-2023 76 20 unseen unseen ADJ schriner-data-2023 76 21 data datum NOUN schriner-data-2023 76 22 . . PUNCT schriner-data-2023 77 1 to to PART schriner-data-2023 77 2 determine determine VERB schriner-data-2023 77 3 how how SCONJ schriner-data-2023 77 4 well well ADV schriner-data-2023 77 5 each each DET schriner-data-2023 77 6 model model NOUN schriner-data-2023 77 7 is be AUX schriner-data-2023 77 8 doing do VERB schriner-data-2023 77 9 , , PUNCT schriner-data-2023 77 10 we we PRON schriner-data-2023 77 11 use use VERB schriner-data-2023 77 12 fairseq fairseq NOUN schriner-data-2023 77 13 - - PUNCT schriner-data-2023 77 14 generate generate NOUN schriner-data-2023 77 15 that that PRON schriner-data-2023 77 16 provides provide VERB schriner-data-2023 77 17 us we PRON schriner-data-2023 77 18 an an DET schriner-data-2023 77 19 error error NOUN schriner-data-2023 77 20 analysis analysis NOUN schriner-data-2023 77 21 that that SCONJ schriner-data-2023 77 22 details detail VERB schriner-data-2023 77 23 where where SCONJ schriner-data-2023 77 24 our our PRON schriner-data-2023 77 25 model model NOUN schriner-data-2023 77 26 came come VERB schriner-data-2023 77 27 up up ADP schriner-data-2023 77 28 short short ADV schriner-data-2023 77 29 . . PUNCT schriner-data-2023 78 1 fairseq fairseq NOUN schriner-data-2023 78 2 - - PUNCT schriner-data-2023 78 3 generate generate VERB schriner-data-2023 78 4 \ \ PROPN schriner-data-2023 78 5 data data PROPN schriner-data-2023 78 6 - - PUNCT schriner-data-2023 78 7 bin bin PROPN schriner-data-2023 78 8 \ \ PROPN schriner-data-2023 78 9 --source --source SPACE schriner-data-2023 78 10 - - PUNCT schriner-data-2023 78 11 lang lang PROPN schriner-data-2023 78 12 epo.g epo.g X schriner-data-2023 78 13 \ \ PROPN schriner-data-2023 78 14 --target --target PROPN schriner-data-2023 78 15 - - PUNCT schriner-data-2023 78 16 lang lang PROPN schriner-data-2023 78 17 epo.p epo.p X schriner-data-2023 78 18 \ \ PROPN schriner-data-2023 78 19 --path --path PUNCT schriner-data-2023 78 20 checkpoints checkpoint VERB schriner-data-2023 78 21 / / SYM schriner-data-2023 78 22 checkpoint_best.pt checkpoint_best.pt X schriner-data-2023 78 23 \ \ X schriner-data-2023 78 24 --gen --gen VERB schriner-data-2023 78 25 - - PUNCT schriner-data-2023 78 26 subset subset PROPN schriner-data-2023 78 27 valid valid PROPN schriner-data-2023 78 28 \ \ PROPN schriner-data-2023 78 29 --beam --beam PROPN schriner-data-2023 78 30 8 8 PROPN schriner-data-2023 78 31 \ \ PROPN schriner-data-2023 78 32 predictions.txt predictions.txt X schriner-data-2023 78 33     SPACE schriner-data-2023 78 34 the the DET schriner-data-2023 78 35 generated generate VERB schriner-data-2023 78 36 error error NOUN schriner-data-2023 78 37 analysis analysis NOUN schriner-data-2023 78 38 in in ADP schriner-data-2023 78 39 predictions.txt predictions.txt VERB schriner-data-2023 78 40 is be AUX schriner-data-2023 78 41 quite quite ADV schriner-data-2023 78 42 readable readable ADJ schriner-data-2023 78 43 and and CCONJ schriner-data-2023 78 44 shows show VERB schriner-data-2023 78 45 where where SCONJ schriner-data-2023 78 46 the the DET schriner-data-2023 78 47 expected expect VERB schriner-data-2023 78 48 hypothesis hypothesis NOUN schriner-data-2023 78 49 may may AUX schriner-data-2023 78 50 be be AUX schriner-data-2023 78 51 different different ADJ schriner-data-2023 78 52 from from ADP schriner-data-2023 78 53 its its PRON schriner-data-2023 78 54 target target NOUN schriner-data-2023 78 55 sequence sequence NOUN schriner-data-2023 78 56 : : PUNCT schriner-data-2023 78 57 s-17 s-17 PUNCT schriner-data-2023 79 1 i i PRON schriner-data-2023 79 2 k k X schriner-data-2023 79 3 t t X schriner-data-2023 79 4 i i PRON schriner-data-2023 80 1 o o X schriner-data-2023 80 2 s s VERB schriner-data-2023 80 3 a a DET schriner-data-2023 80 4 ŭ ŭ NOUN schriner-data-2023 80 5 r r X schriner-data-2023 80 6 o o X schriner-data-2023 80 7 t-17 t-17 X schriner-data-2023 80 8 i i PRON schriner-data-2023 81 1 k k PROPN schriner-data-2023 81 2 t t X schriner-data-2023 81 3 i i PRON schriner-data-2023 82 1 o o X schriner-data-2023 82 2 s s VERB schriner-data-2023 82 3 a a DET schriner-data-2023 82 4 w w X schriner-data-2023 82 5 r r NOUN schriner-data-2023 82 6 o o X schriner-data-2023 82 7 h-17 h-17 X schriner-data-2023 82 8 -0.14448021352291107 -0.14448021352291107 X schriner-data-2023 83 1 i i PRON schriner-data-2023 84 1 k k X schriner-data-2023 84 2 t t X schriner-data-2023 84 3 i i PRON schriner-data-2023 85 1 o o X schriner-data-2023 85 2 s s VERB schriner-data-2023 85 3 a a DET schriner-data-2023 85 4 w w PROPN schriner-data-2023 85 5 r r X schriner-data-2023 85 6 o o X schriner-data-2023 85 7 d-17 d-17 PUNCT schriner-data-2023 86 1 -0.14448021352291107 -0.14448021352291107 X schriner-data-2023 87 1 i i PRON schriner-data-2023 88 1 k k X schriner-data-2023 88 2 t t X schriner-data-2023 88 3 i i PRON schriner-data-2023 89 1 o o X schriner-data-2023 89 2 s s VERB schriner-data-2023 89 3 a a DET schriner-data-2023 89 4 w w PROPN schriner-data-2023 89 5 r r X schriner-data-2023 89 6 o o PROPN schriner-data-2023 89 7 s-824 s-824 NOUN schriner-data-2023 89 8 e e X schriner-data-2023 90 1 k k X schriner-data-2023 90 2 s s VERB schriner-data-2023 90 3 i i PRON schriner-data-2023 91 1 ĝ ĝ X schriner-data-2023 91 2 o o X schriner-data-2023 91 3 n n CCONJ schriner-data-2023 91 4 t t PROPN schriner-data-2023 91 5 a a DET schriner-data-2023 91 6 j j X schriner-data-2023 91 7 t-824 t-824 NOUN schriner-data-2023 91 8 e e X schriner-data-2023 91 9 k k X schriner-data-2023 91 10 s s VERB schriner-data-2023 91 11 i i PRON schriner-data-2023 92 1 d͡ʒ d͡ʒ ADJ schriner-data-2023 92 2 o o X schriner-data-2023 92 3 n n CCONJ schriner-data-2023 92 4 t t PROPN schriner-data-2023 92 5 a a PRON schriner-data-2023 92 6 j j PROPN schriner-data-2023 92 7 h-824 h-824 PROPN schriner-data-2023 92 8 -0.12416490912437439 -0.12416490912437439 X schriner-data-2023 93 1 e e X schriner-data-2023 94 1 k k X schriner-data-2023 94 2 s s VERB schriner-data-2023 94 3 i i PRON schriner-data-2023 94 4 d͡ʒ d͡ʒ ADJ schriner-data-2023 94 5 o o X schriner-data-2023 94 6 n n CCONJ schriner-data-2023 94 7 t t PROPN schriner-data-2023 94 8 a a DET schriner-data-2023 94 9 j j PROPN schriner-data-2023 94 10 d-824 d-824 PROPN schriner-data-2023 94 11 -0.12416490912437439 -0.12416490912437439 PROPN schriner-data-2023 94 12 e e X schriner-data-2023 94 13 k k X schriner-data-2023 94 14 s s VERB schriner-data-2023 94 15 i i PRON schriner-data-2023 94 16 d͡ʒ d͡ʒ ADJ schriner-data-2023 94 17 o o X schriner-data-2023 94 18 n n CCONJ schriner-data-2023 94 19 t t PROPN schriner-data-2023 94 20 a a DET schriner-data-2023 94 21 j j NOUN schriner-data-2023 95 1 s-1085 s-1085 VERB schriner-data-2023 95 2 k k PROPN schriner-data-2023 95 3 a a DET schriner-data-2023 95 4 p p PROPN schriner-data-2023 95 5 t t X schriner-data-2023 95 6 o o X schriner-data-2023 95 7 ŝ ŝ ADP schriner-data-2023 95 8 n n X schriner-data-2023 95 9 u u X schriner-data-2023 95 10 r r X schriner-data-2023 95 11 o o X schriner-data-2023 95 12 t-1085 t-1085 X schriner-data-2023 95 13 k k PROPN schriner-data-2023 96 1 a a PRON schriner-data-2023 96 2 p p PROPN schriner-data-2023 96 3 t t PROPN schriner-data-2023 96 4 o o X schriner-data-2023 96 5 ʃ ʃ PROPN schriner-data-2023 96 6 n n CCONJ schriner-data-2023 96 7 u u X schriner-data-2023 96 8 r r X schriner-data-2023 96 9 o o X schriner-data-2023 96 10 h-1085 h-1085 ADJ schriner-data-2023 96 11 -0.15732990205287933 -0.15732990205287933 NOUN schriner-data-2023 97 1 k k INTJ schriner-data-2023 98 1 a a PRON schriner-data-2023 98 2 p p PROPN schriner-data-2023 98 3 t t PROPN schriner-data-2023 98 4 o o X schriner-data-2023 98 5 ʃ ʃ PROPN schriner-data-2023 98 6 n n CCONJ schriner-data-2023 98 7 u u PROPN schriner-data-2023 98 8 r r X schriner-data-2023 98 9 o o X schriner-data-2023 98 10 d-1085 d-1085 PUNCT schriner-data-2023 98 11 -0.15732990205287933 -0.15732990205287933 NOUN schriner-data-2023 99 1 k k PROPN schriner-data-2023 100 1 a a DET schriner-data-2023 100 2 p p PROPN schriner-data-2023 100 3 t t PROPN schriner-data-2023 100 4 o o X schriner-data-2023 100 5 ʃ ʃ PROPN schriner-data-2023 100 6 n n CCONJ schriner-data-2023 100 7 u u PROPN schriner-data-2023 100 8 r r X schriner-data-2023 100 9 o o X schriner-data-2023 100 10     SPACE schriner-data-2023 100 11 the the DET schriner-data-2023 100 12 rows row NOUN schriner-data-2023 100 13 in in ADP schriner-data-2023 100 14 predictions.txt predictions.txt VERB schriner-data-2023 100 15 are be AUX schriner-data-2023 100 16 source source NOUN schriner-data-2023 100 17 , , PUNCT schriner-data-2023 100 18 target target NOUN schriner-data-2023 100 19 , , PUNCT schriner-data-2023 100 20 hypothesis hypothesis NOUN schriner-data-2023 100 21 ( ( PUNCT schriner-data-2023 100 22 tokenized tokenize VERB schriner-data-2023 100 23 , , PUNCT schriner-data-2023 100 24 meaning mean VERB schriner-data-2023 100 25 any any DET schriner-data-2023 100 26 punctuation punctuation NOUN schriner-data-2023 100 27 symbols symbol NOUN schriner-data-2023 100 28 in in ADP schriner-data-2023 100 29 a a DET schriner-data-2023 100 30 project project NOUN schriner-data-2023 100 31 with with ADP schriner-data-2023 100 32 sentences sentence NOUN schriner-data-2023 100 33 would would AUX schriner-data-2023 100 34 be be AUX schriner-data-2023 100 35 space space NOUN schriner-data-2023 100 36 - - PUNCT schriner-data-2023 100 37 separated separate VERB schriner-data-2023 100 38 ) ) PUNCT schriner-data-2023 100 39 , , PUNCT schriner-data-2023 100 40 and and CCONJ schriner-data-2023 100 41 detokenized detokenize VERB schriner-data-2023 100 42 ( ( PUNCT schriner-data-2023 100 43 not not PART schriner-data-2023 100 44 broken break VERB schriner-data-2023 100 45 into into ADP schriner-data-2023 100 46 separate separate ADJ schriner-data-2023 100 47 linguistic linguistic ADJ schriner-data-2023 100 48 units unit NOUN schriner-data-2023 100 49 ) ) PUNCT schriner-data-2023 100 50 . . PUNCT schriner-data-2023 100 51     SPACE schriner-data-2023 101 1 the the DET schriner-data-2023 101 2 number number NOUN schriner-data-2023 101 3 before before ADP schriner-data-2023 101 4 the the DET schriner-data-2023 101 5 hypothesis hypothesis NOUN schriner-data-2023 101 6 is be AUX schriner-data-2023 101 7 the the DET schriner-data-2023 101 8 log log NOUN schriner-data-2023 101 9 - - PUNCT schriner-data-2023 101 10 probability probability NOUN schriner-data-2023 101 11 of of ADP schriner-data-2023 101 12 this this DET schriner-data-2023 101 13 hypothesis hypothesis NOUN schriner-data-2023 101 14 . . PUNCT schriner-data-2023 101 15     SPACE schriner-data-2023 102 1 for for ADP schriner-data-2023 102 2 our our PRON schriner-data-2023 102 3 project project NOUN schriner-data-2023 102 4 , , PUNCT schriner-data-2023 102 5 if if SCONJ schriner-data-2023 102 6 the the DET schriner-data-2023 102 7 target target NOUN schriner-data-2023 102 8 matches match VERB schriner-data-2023 102 9 the the DET schriner-data-2023 102 10 hypothesis hypothesis NOUN schriner-data-2023 102 11 , , PUNCT schriner-data-2023 102 12 the the DET schriner-data-2023 102 13 model model NOUN schriner-data-2023 102 14 has have AUX schriner-data-2023 102 15 predicted predict VERB schriner-data-2023 102 16 correctly correctly ADV schriner-data-2023 102 17 . . PUNCT schriner-data-2023 103 1 we we PRON schriner-data-2023 103 2 use use VERB schriner-data-2023 103 3 a a DET schriner-data-2023 103 4 script script NOUN schriner-data-2023 103 5 written write VERB schriner-data-2023 103 6 by by ADP schriner-data-2023 103 7 dr dr PROPN schriner-data-2023 103 8 . . PROPN schriner-data-2023 103 9 kyle kyle PROPN schriner-data-2023 103 10 gorman gorman PROPN schriner-data-2023 103 11 to to PART schriner-data-2023 103 12 parse parse VERB schriner-data-2023 103 13 the the DET schriner-data-2023 103 14 output output NOUN schriner-data-2023 103 15 of of ADP schriner-data-2023 103 16 fairseq fairseq NOUN schriner-data-2023 103 17 - - PUNCT schriner-data-2023 103 18 generate generate VERB schriner-data-2023 103 19 and and CCONJ schriner-data-2023 103 20 provide provide VERB schriner-data-2023 103 21 a a DET schriner-data-2023 103 22 word word NOUN schriner-data-2023 103 23 error error NOUN schriner-data-2023 103 24 rate rate NOUN schriner-data-2023 103 25 ( ( PUNCT schriner-data-2023 103 26 wer wer PROPN schriner-data-2023 103 27 ) ) PUNCT schriner-data-2023 103 28 . . PUNCT schriner-data-2023 103 29     SPACE schriner-data-2023 104 1 using use VERB schriner-data-2023 104 2 this this DET schriner-data-2023 104 3 script script NOUN schriner-data-2023 104 4 , , PUNCT schriner-data-2023 104 5 if if SCONJ schriner-data-2023 104 6 any any DET schriner-data-2023 104 7 character character NOUN schriner-data-2023 104 8 is be AUX schriner-data-2023 104 9 incorrect incorrect ADJ schriner-data-2023 104 10 , , PUNCT schriner-data-2023 104 11 the the DET schriner-data-2023 104 12 word word NOUN schriner-data-2023 104 13 error error NOUN schriner-data-2023 104 14 rate rate NOUN schriner-data-2023 104 15 is be AUX schriner-data-2023 104 16 raised raise VERB schriner-data-2023 104 17 . . PUNCT schriner-data-2023 104 18     SPACE schriner-data-2023 105 1 as as SCONJ schriner-data-2023 105 2 there there PRON schriner-data-2023 105 3 should should AUX schriner-data-2023 105 4 be be AUX schriner-data-2023 105 5 no no DET schriner-data-2023 105 6 ambiguity ambiguity NOUN schriner-data-2023 105 7 in in ADP schriner-data-2023 105 8 pronunciation pronunciation NOUN schriner-data-2023 105 9 and and CCONJ schriner-data-2023 105 10 the the DET schriner-data-2023 105 11 conversion conversion NOUN schriner-data-2023 105 12 of of ADP schriner-data-2023 105 13 a a DET schriner-data-2023 105 14 character character NOUN schriner-data-2023 105 15 to to ADP schriner-data-2023 105 16 a a DET schriner-data-2023 105 17 sound sound NOUN schriner-data-2023 105 18 , , PUNCT schriner-data-2023 105 19 we we PRON schriner-data-2023 105 20 expected expect VERB schriner-data-2023 105 21 that that SCONJ schriner-data-2023 105 22 our our PRON schriner-data-2023 105 23 model model NOUN schriner-data-2023 105 24 would would AUX schriner-data-2023 105 25 perform perform VERB schriner-data-2023 105 26 near near ADV schriner-data-2023 105 27 - - PUNCT schriner-data-2023 105 28 perfectly perfectly ADV schriner-data-2023 105 29 . . PUNCT schriner-data-2023 106 1 choosing choose VERB schriner-data-2023 106 2 the the DET schriner-data-2023 106 3 model model NOUN schriner-data-2023 106 4 that that PRON schriner-data-2023 106 5 performed perform VERB schriner-data-2023 106 6 the the DET schriner-data-2023 106 7 best good ADJ schriner-data-2023 106 8 , , PUNCT schriner-data-2023 106 9 we we PRON schriner-data-2023 106 10 can can AUX schriner-data-2023 106 11 now now ADV schriner-data-2023 106 12 give give VERB schriner-data-2023 106 13 the the DET schriner-data-2023 106 14 model model NOUN schriner-data-2023 106 15 the the DET schriner-data-2023 106 16 test test NOUN schriner-data-2023 106 17 data datum NOUN schriner-data-2023 106 18 . . PUNCT schriner-data-2023 106 19     SPACE schriner-data-2023 106 20 predictably predictably ADV schriner-data-2023 106 21 , , PUNCT schriner-data-2023 106 22 on on ADP schriner-data-2023 106 23 the the DET schriner-data-2023 106 24 test test NOUN schriner-data-2023 106 25 data datum NOUN schriner-data-2023 106 26 , , PUNCT schriner-data-2023 106 27 the the DET schriner-data-2023 106 28 word word NOUN schriner-data-2023 106 29 error error NOUN schriner-data-2023 106 30 rate rate NOUN schriner-data-2023 106 31 was be AUX schriner-data-2023 106 32 0.00 0.00 NUM schriner-data-2023 106 33 , , PUNCT schriner-data-2023 106 34 a a DET schriner-data-2023 106 35 perfect perfect ADJ schriner-data-2023 106 36 score score NOUN schriner-data-2023 106 37 . . PUNCT schriner-data-2023 107 1 russian russian ADJ schriner-data-2023 107 2 stress stress NOUN schriner-data-2023 107 3 to to PART schriner-data-2023 107 4 explore explore VERB schriner-data-2023 107 5 how how SCONJ schriner-data-2023 107 6 to to PART schriner-data-2023 107 7 add add VERB schriner-data-2023 107 8 features feature NOUN schriner-data-2023 107 9 to to ADP schriner-data-2023 107 10 the the DET schriner-data-2023 107 11 model model NOUN schriner-data-2023 107 12 , , PUNCT schriner-data-2023 107 13 we we PRON schriner-data-2023 107 14 can can AUX schriner-data-2023 107 15 look look VERB schriner-data-2023 107 16 at at ADP schriner-data-2023 107 17 experiments experiment NOUN schriner-data-2023 107 18 in in ADP schriner-data-2023 107 19 russian russian ADJ schriner-data-2023 107 20 stress stress NOUN schriner-data-2023 107 21 . . PUNCT schriner-data-2023 107 22     SPACE schriner-data-2023 108 1 features feature NOUN schriner-data-2023 108 2 are be AUX schriner-data-2023 108 3 properties property NOUN schriner-data-2023 108 4 of of ADP schriner-data-2023 108 5 the the DET schriner-data-2023 108 6 target target NOUN schriner-data-2023 108 7 that that PRON schriner-data-2023 108 8 may may AUX schriner-data-2023 108 9 or or CCONJ schriner-data-2023 108 10 may may AUX schriner-data-2023 108 11 not not PART schriner-data-2023 108 12 help help VERB schriner-data-2023 108 13 in in ADP schriner-data-2023 108 14 prediction prediction NOUN schriner-data-2023 108 15 . . PUNCT schriner-data-2023 108 16     SPACE schriner-data-2023 109 1 features feature NOUN schriner-data-2023 109 2 could could AUX schriner-data-2023 109 3 include include VERB schriner-data-2023 109 4 part part NOUN schriner-data-2023 109 5 of of ADP schriner-data-2023 109 6 speech speech NOUN schriner-data-2023 109 7 , , PUNCT schriner-data-2023 109 8 frequency frequency NOUN schriner-data-2023 109 9 , , PUNCT schriner-data-2023 109 10 animacy animacy NOUN schriner-data-2023 109 11 ( ( PUNCT schriner-data-2023 109 12 whether whether SCONJ schriner-data-2023 109 13 a a DET schriner-data-2023 109 14 noun noun NOUN schriner-data-2023 109 15 is be AUX schriner-data-2023 109 16 sentient sentient ADJ schriner-data-2023 109 17 or or CCONJ schriner-data-2023 109 18 not not PART schriner-data-2023 109 19 ) ) PUNCT schriner-data-2023 109 20 , , PUNCT schriner-data-2023 109 21 or or CCONJ schriner-data-2023 109 22 many many ADJ schriner-data-2023 109 23 other other ADJ schriner-data-2023 109 24 characteristics characteristic NOUN schriner-data-2023 109 25 . . PUNCT schriner-data-2023 110 1 similar similar ADJ schriner-data-2023 110 2 to to ADP schriner-data-2023 110 3 the the DET schriner-data-2023 110 4 esperanto esperanto ADJ schriner-data-2023 110 5 project project NOUN schriner-data-2023 110 6 above above ADV schriner-data-2023 110 7 , , PUNCT schriner-data-2023 110 8 we we PRON schriner-data-2023 110 9 have have VERB schriner-data-2023 110 10 columns column NOUN schriner-data-2023 110 11 with with ADP schriner-data-2023 110 12 data datum NOUN schriner-data-2023 110 13 in in ADP schriner-data-2023 110 14 a a DET schriner-data-2023 110 15 tsv tsv NOUN schriner-data-2023 110 16 file file NOUN schriner-data-2023 110 17 . . PUNCT schriner-data-2023 110 18     SPACE schriner-data-2023 110 19 table table NOUN schriner-data-2023 111 1 3 3 NUM schriner-data-2023 111 2 . . PUNCT schriner-data-2023 111 3 example example NOUN schriner-data-2023 111 4 data datum NOUN schriner-data-2023 111 5 from from ADP schriner-data-2023 111 6 the the DET schriner-data-2023 111 7 tsv tsv NOUN schriner-data-2023 111 8 file file NOUN schriner-data-2023 111 9 from from ADP schriner-data-2023 111 10 schriner schriner NOUN schriner-data-2023 111 11 ( ( PUNCT schriner-data-2023 111 12 2022 2022 NUM schriner-data-2023 111 13 ) ) PUNCT schriner-data-2023 111 14 . . PUNCT schriner-data-2023 111 15     SPACE schriner-data-2023 112 1 ямбам ямбам PROPN schriner-data-2023 112 2 я́мбам я́мбам PROPN schriner-data-2023 112 3 1 1 NUM schriner-data-2023 112 4 ямб ямб ADJ schriner-data-2023 112 5 n;msc;inan;pl;dat n;msc;inan;pl;dat NOUN schriner-data-2023 112 6 шихтовее шихтовее VERB schriner-data-2023 112 7 шихтове́е шихтове́е ADJ schriner-data-2023 112 8 1 1 NUM schriner-data-2023 112 9 шихтовой шихтовой NOUN schriner-data-2023 112 10 a;cmpar;pred a;cmpar;pre VERB schriner-data-2023 112 11 щелкануть щелкануть PROPN schriner-data-2023 112 12 щелкану́ть щелкану́ть PROPN schriner-data-2023 112 13 0 0 NUM schriner-data-2023 112 14 щелкануть щелкануть PROPN schriner-data-2023 112 15 v;perf;inf v;perf;inf PROPN schriner-data-2023 112 16 иноки иноки PROPN schriner-data-2023 112 17 и́ноки и́ноки PUNCT schriner-data-2023 112 18 2 2 NUM schriner-data-2023 112 19 инока инока NOUN schriner-data-2023 112 20 n;fem;anim;pl;nom n;fem;anim;pl;nom PROPN schriner-data-2023 112 21 стёсанном стёсанном PROPN schriner-data-2023 112 22 стёсанном стёсанном PROPN schriner-data-2023 112 23 2 2 NUM schriner-data-2023 112 24 стесать стесать ADJ schriner-data-2023 112 25 v;perf;der;der v;perf;der;der NOUN schriner-data-2023 112 26 / / SYM schriner-data-2023 112 27 pstpss;a;neu;anin;sg;loc pstpss;a;neu;anin;sg;loc NOUN schriner-data-2023 112 28         SPACE schriner-data-2023 112 29 the the DET schriner-data-2023 112 30 first first ADJ schriner-data-2023 112 31 column column NOUN schriner-data-2023 112 32 of of ADP schriner-data-2023 112 33 data datum NOUN schriner-data-2023 112 34 is be AUX schriner-data-2023 112 35 the the DET schriner-data-2023 112 36 word word NOUN schriner-data-2023 112 37 with with ADP schriner-data-2023 112 38 no no DET schriner-data-2023 112 39 stress stress NOUN schriner-data-2023 112 40 markers marker NOUN schriner-data-2023 112 41 . . PUNCT schriner-data-2023 112 42     SPACE schriner-data-2023 113 1 the the DET schriner-data-2023 113 2 second second ADJ schriner-data-2023 113 3 column column NOUN schriner-data-2023 113 4 is be AUX schriner-data-2023 113 5 the the DET schriner-data-2023 113 6 word word NOUN schriner-data-2023 113 7 with with ADP schriner-data-2023 113 8 stress stress NOUN schriner-data-2023 113 9 marked mark VERB schriner-data-2023 113 10 . . PUNCT schriner-data-2023 113 11     SPACE schriner-data-2023 114 1 the the DET schriner-data-2023 114 2 third third ADJ schriner-data-2023 114 3 column column NOUN schriner-data-2023 114 4 is be AUX schriner-data-2023 114 5 a a DET schriner-data-2023 114 6 stress stress NOUN schriner-data-2023 114 7 code code NOUN schriner-data-2023 114 8 derived derive VERB schriner-data-2023 114 9 from from ADP schriner-data-2023 114 10 the the DET schriner-data-2023 114 11 placement placement NOUN schriner-data-2023 114 12 of of ADP schriner-data-2023 114 13 the the DET schriner-data-2023 114 14 stress stress NOUN schriner-data-2023 114 15 in in ADP schriner-data-2023 114 16 the the DET schriner-data-2023 114 17 word word NOUN schriner-data-2023 114 18 : : PUNCT schriner-data-2023 114 19 reversing reverse VERB schriner-data-2023 114 20 the the DET schriner-data-2023 114 21 text text NOUN schriner-data-2023 114 22 in in ADP schriner-data-2023 114 23 place place NOUN schriner-data-2023 114 24 and and CCONJ schriner-data-2023 114 25 counting count VERB schriner-data-2023 114 26 from from ADP schriner-data-2023 114 27 0 0 NUM schriner-data-2023 114 28 at at ADP schriner-data-2023 114 29 the the DET schriner-data-2023 114 30 end end NOUN schriner-data-2023 114 31 of of ADP schriner-data-2023 114 32 the the DET schriner-data-2023 114 33 word word NOUN schriner-data-2023 114 34 , , PUNCT schriner-data-2023 114 35 each each DET schriner-data-2023 114 36 word word NOUN schriner-data-2023 114 37 was be AUX schriner-data-2023 114 38 given give VERB schriner-data-2023 114 39 a a DET schriner-data-2023 114 40 stress stress NOUN schriner-data-2023 114 41 code code NOUN schriner-data-2023 114 42 ; ; PUNCT schriner-data-2023 114 43 this this DET schriner-data-2023 114 44 data datum NOUN schriner-data-2023 114 45 was be AUX schriner-data-2023 114 46 added add VERB schriner-data-2023 114 47 to to ADP schriner-data-2023 114 48 the the DET schriner-data-2023 114 49 tsv tsv NOUN schriner-data-2023 114 50 as as ADP schriner-data-2023 114 51 a a DET schriner-data-2023 114 52 column column NOUN schriner-data-2023 114 53 . . PUNCT schriner-data-2023 114 54     SPACE schriner-data-2023 115 1 only only ADJ schriner-data-2023 115 2 vowels vowel NOUN schriner-data-2023 115 3 in in ADP schriner-data-2023 115 4 russian russian PROPN schriner-data-2023 115 5 may may AUX schriner-data-2023 115 6 have have VERB schriner-data-2023 115 7 stress stress NOUN schriner-data-2023 115 8 , , PUNCT schriner-data-2023 115 9 so so ADV schriner-data-2023 115 10 deriving derive VERB schriner-data-2023 115 11 the the DET schriner-data-2023 115 12 stress stress NOUN schriner-data-2023 115 13 code code NOUN schriner-data-2023 115 14 was be AUX schriner-data-2023 115 15 simply simply ADV schriner-data-2023 115 16 a a DET schriner-data-2023 115 17 matter matter NOUN schriner-data-2023 115 18 of of ADP schriner-data-2023 115 19 counting count VERB schriner-data-2023 115 20 vowels vowel NOUN schriner-data-2023 115 21 until until SCONJ schriner-data-2023 115 22 a a DET schriner-data-2023 115 23 stress stress NOUN schriner-data-2023 115 24 marker marker NOUN schriner-data-2023 115 25 occurred occur VERB schriner-data-2023 115 26 . . PUNCT schriner-data-2023 115 27     SPACE schriner-data-2023 116 1 « « PUNCT schriner-data-2023 116 2 ё ё X schriner-data-2023 116 3 » » PUNCT schriner-data-2023 116 4 is be AUX schriner-data-2023 116 5 always always ADV schriner-data-2023 116 6 stressed stress VERB schriner-data-2023 116 7 , , PUNCT schriner-data-2023 116 8 so so ADV schriner-data-2023 116 9 the the DET schriner-data-2023 116 10 script script NOUN schriner-data-2023 116 11 stops stop VERB schriner-data-2023 116 12 and and CCONJ schriner-data-2023 116 13 assigns assign VERB schriner-data-2023 116 14 a a DET schriner-data-2023 116 15 code code NOUN schriner-data-2023 116 16 when when SCONJ schriner-data-2023 116 17 an an PRON schriner-data-2023 116 18 « « PUNCT schriner-data-2023 116 19 ё ё X schriner-data-2023 116 20 » » ADJ schriner-data-2023 116 21 is be AUX schriner-data-2023 116 22 discovered discover VERB schriner-data-2023 116 23 . . PUNCT schriner-data-2023 116 24     SPACE schriner-data-2023 117 1 the the DET schriner-data-2023 117 2 fourth fourth ADJ schriner-data-2023 117 3 column column NOUN schriner-data-2023 117 4 is be AUX schriner-data-2023 117 5 the the DET schriner-data-2023 117 6 word word NOUN schriner-data-2023 117 7 ’s ’s PART schriner-data-2023 117 8 lemma lemma NOUN schriner-data-2023 117 9 ( ( PUNCT schriner-data-2023 117 10 its its PRON schriner-data-2023 117 11 root root NOUN schriner-data-2023 117 12 ) ) PUNCT schriner-data-2023 117 13 . . PUNCT schriner-data-2023 117 14     SPACE schriner-data-2023 118 1 the the DET schriner-data-2023 118 2 fifth fifth ADJ schriner-data-2023 118 3 column column NOUN schriner-data-2023 118 4 contains contain VERB schriner-data-2023 118 5 the the DET schriner-data-2023 118 6 full full ADJ schriner-data-2023 118 7 morphology morphology NOUN schriner-data-2023 118 8 of of ADP schriner-data-2023 118 9 the the DET schriner-data-2023 118 10 word word NOUN schriner-data-2023 118 11 including include VERB schriner-data-2023 118 12 the the DET schriner-data-2023 118 13 word word NOUN schriner-data-2023 118 14 ’s ’s PART schriner-data-2023 118 15 part part NOUN schriner-data-2023 118 16 of of ADP schriner-data-2023 118 17 speech speech NOUN schriner-data-2023 118 18 , , PUNCT schriner-data-2023 118 19 the the DET schriner-data-2023 118 20 tense tense NOUN schriner-data-2023 118 21 for for ADP schriner-data-2023 118 22 those those PRON schriner-data-2023 118 23 that that PRON schriner-data-2023 118 24 are be AUX schriner-data-2023 118 25 verbs verb NOUN schriner-data-2023 118 26 , , PUNCT schriner-data-2023 118 27 animacy animacy NOUN schriner-data-2023 118 28 , , PUNCT schriner-data-2023 118 29 gender gender NOUN schriner-data-2023 118 30 , , PUNCT schriner-data-2023 118 31 grammatical grammatical ADJ schriner-data-2023 118 32 number number NOUN schriner-data-2023 118 33 ( ( PUNCT schriner-data-2023 118 34 whether whether SCONJ schriner-data-2023 118 35 a a DET schriner-data-2023 118 36 noun noun NOUN schriner-data-2023 118 37 is be AUX schriner-data-2023 118 38 singular singular ADJ schriner-data-2023 118 39 or or CCONJ schriner-data-2023 118 40 plural plural ADJ schriner-data-2023 118 41 ) ) PUNCT schriner-data-2023 118 42 and and CCONJ schriner-data-2023 118 43 russian russian ADJ schriner-data-2023 118 44 case case NOUN schriner-data-2023 118 45 ( ( PUNCT schriner-data-2023 118 46 e.g. e.g. X schriner-data-2023 118 47 nominative nominative ADJ schriner-data-2023 118 48 ( ( PUNCT schriner-data-2023 118 49 nom nom NOUN schriner-data-2023 118 50 ) ) PUNCT schriner-data-2023 118 51 case case NOUN schriner-data-2023 118 52 for for ADP schriner-data-2023 118 53 the the DET schriner-data-2023 118 54 subject subject NOUN schriner-data-2023 118 55 of of ADP schriner-data-2023 118 56 the the DET schriner-data-2023 118 57 sentence sentence NOUN schriner-data-2023 118 58 , , PUNCT schriner-data-2023 118 59 or or CCONJ schriner-data-2023 118 60 dative dative ADJ schriner-data-2023 118 61 ( ( PUNCT schriner-data-2023 118 62 dat dat NOUN schriner-data-2023 118 63 ) ) PUNCT schriner-data-2023 118 64 case case NOUN schriner-data-2023 118 65 for for ADP schriner-data-2023 118 66 an an DET schriner-data-2023 118 67 indirect indirect ADJ schriner-data-2023 118 68 object object NOUN schriner-data-2023 118 69 of of ADP schriner-data-2023 118 70 a a DET schriner-data-2023 118 71 sentence sentence NOUN schriner-data-2023 118 72 ) ) PUNCT schriner-data-2023 118 73 . . PUNCT schriner-data-2023 118 74     SPACE schriner-data-2023 119 1 for for ADP schriner-data-2023 119 2 the the DET schriner-data-2023 119 3 adjective adjective ADJ schriner-data-2023 119 4 ( ( PUNCT schriner-data-2023 119 5 a a X schriner-data-2023 119 6 ) ) PUNCT schriner-data-2023 119 7 in in ADP schriner-data-2023 119 8 table table NOUN schriner-data-2023 119 9 3 3 NUM schriner-data-2023 119 10 , , PUNCT schriner-data-2023 119 11 the the DET schriner-data-2023 119 12 word word NOUN schriner-data-2023 119 13 is be AUX schriner-data-2023 119 14 comparative comparative ADJ schriner-data-2023 119 15 ( ( PUNCT schriner-data-2023 119 16 cmpar cmpar NOUN schriner-data-2023 119 17 , , PUNCT schriner-data-2023 119 18 as as ADP schriner-data-2023 119 19 in in ADP schriner-data-2023 119 20 more more ADJ schriner-data-2023 119 21 ) ) PUNCT schriner-data-2023 119 22 and and CCONJ schriner-data-2023 119 23 it it PRON schriner-data-2023 119 24 functions function VERB schriner-data-2023 119 25 as as ADP schriner-data-2023 119 26 an an DET schriner-data-2023 119 27 adjective adjective ADJ schriner-data-2023 119 28 predicate predicate NOUN schriner-data-2023 119 29 ( ( PUNCT schriner-data-2023 119 30 pred pre VERB schriner-data-2023 119 31 ) ) PUNCT schriner-data-2023 119 32 , , PUNCT schriner-data-2023 119 33 linked link VERB schriner-data-2023 119 34 to to ADP schriner-data-2023 119 35 the the DET schriner-data-2023 119 36 subject subject NOUN schriner-data-2023 119 37 of of ADP schriner-data-2023 119 38 the the DET schriner-data-2023 119 39 sentence sentence NOUN schriner-data-2023 119 40 . . PUNCT schriner-data-2023 120 1 in in ADP schriner-data-2023 120 2 this this DET schriner-data-2023 120 3 paper paper NOUN schriner-data-2023 120 4 we we PRON schriner-data-2023 120 5 will will AUX schriner-data-2023 120 6 not not PART schriner-data-2023 120 7 be be AUX schriner-data-2023 120 8 processing process VERB schriner-data-2023 120 9 this this PRON schriner-data-2023 120 10 with with ADP schriner-data-2023 120 11 fairseq fairseq NOUN schriner-data-2023 120 12 , , PUNCT schriner-data-2023 120 13 but but CCONJ schriner-data-2023 120 14 some some DET schriner-data-2023 120 15 promising promising ADJ schriner-data-2023 120 16 results result NOUN schriner-data-2023 120 17 may may AUX schriner-data-2023 120 18 be be AUX schriner-data-2023 120 19 found find VERB schriner-data-2023 120 20 in in ADP schriner-data-2023 120 21 schriner schriner NOUN schriner-data-2023 120 22 ( ( PUNCT schriner-data-2023 120 23 2022 2022 NUM schriner-data-2023 120 24 ) ) PUNCT schriner-data-2023 120 25 . . PUNCT schriner-data-2023 120 26     SPACE schriner-data-2023 121 1 this this DET schriner-data-2023 121 2 project project NOUN schriner-data-2023 121 3 is be AUX schriner-data-2023 121 4 already already ADV schriner-data-2023 121 5 significantly significantly ADV schriner-data-2023 121 6 different different ADJ schriner-data-2023 121 7 from from ADP schriner-data-2023 121 8 our our PRON schriner-data-2023 121 9 esperanto esperanto ADJ schriner-data-2023 121 10 example example NOUN schriner-data-2023 121 11 in in ADP schriner-data-2023 121 12 that that DET schriner-data-2023 121 13 stress stress NOUN schriner-data-2023 121 14 in in ADP schriner-data-2023 121 15 russian russian PROPN schriner-data-2023 121 16 has have AUX schriner-data-2023 121 17 complicated complicate VERB schriner-data-2023 121 18 patterns pattern NOUN schriner-data-2023 121 19 and and CCONJ schriner-data-2023 121 20 ambiguous ambiguous ADJ schriner-data-2023 121 21 rules rule NOUN schriner-data-2023 121 22 that that PRON schriner-data-2023 121 23 will will AUX schriner-data-2023 121 24 challenge challenge VERB schriner-data-2023 121 25 a a DET schriner-data-2023 121 26 machine machine NOUN schriner-data-2023 121 27 to to PART schriner-data-2023 121 28 place place VERB schriner-data-2023 121 29 the the DET schriner-data-2023 121 30 stress stress NOUN schriner-data-2023 121 31 correctly correctly ADV schriner-data-2023 121 32 . . PUNCT schriner-data-2023 121 33     SPACE schriner-data-2023 122 1 incorrectly incorrectly ADV schriner-data-2023 122 2 - - PUNCT schriner-data-2023 122 3 stressed stress VERB schriner-data-2023 122 4 words word NOUN schriner-data-2023 122 5 may may AUX schriner-data-2023 122 6 be be AUX schriner-data-2023 122 7 unintelligible unintelligible ADJ schriner-data-2023 122 8 or or CCONJ schriner-data-2023 122 9 prove prove VERB schriner-data-2023 122 10 more more ADV schriner-data-2023 122 11 difficult difficult ADJ schriner-data-2023 122 12 to to PART schriner-data-2023 122 13 place place VERB schriner-data-2023 122 14 correctly correctly ADV schriner-data-2023 122 15 with with ADP schriner-data-2023 122 16 the the DET schriner-data-2023 122 17 existence existence NOUN schriner-data-2023 122 18 of of ADP schriner-data-2023 122 19 stress stress NOUN schriner-data-2023 122 20 homographs homograph NOUN schriner-data-2023 122 21 such such ADJ schriner-data-2023 122 22 as as ADP schriner-data-2023 122 23 óрган óрган ADJ schriner-data-2023 122 24 ‘ ' PUNCT schriner-data-2023 122 25 organ organ NOUN schriner-data-2023 122 26 of of ADP schriner-data-2023 122 27 the the DET schriner-data-2023 122 28 body body NOUN schriner-data-2023 122 29 ’ ' PUNCT schriner-data-2023 122 30 and and CCONJ schriner-data-2023 122 31 оргáн оргáн VERB schriner-data-2023 122 32 ‘ ' PUNCT schriner-data-2023 122 33 organ organ NOUN schriner-data-2023 122 34 ’ ' PUNCT schriner-data-2023 122 35 ( ( PUNCT schriner-data-2023 122 36 musical musical ADJ schriner-data-2023 122 37 instrument instrument NOUN schriner-data-2023 122 38 ) ) PUNCT schriner-data-2023 122 39 ( ( PUNCT schriner-data-2023 122 40 wade wade PROPN schriner-data-2023 122 41 & & CCONJ schriner-data-2023 122 42 gillespie gillespie PROPN schriner-data-2023 122 43 , , PUNCT schriner-data-2023 122 44 2011 2011 NUM schriner-data-2023 122 45 ) ) PUNCT schriner-data-2023 122 46 . . PUNCT schriner-data-2023 123 1 similar similar ADJ schriner-data-2023 123 2 to to ADP schriner-data-2023 123 3 the the DET schriner-data-2023 123 4 esperanto esperanto ADJ schriner-data-2023 123 5 example example NOUN schriner-data-2023 123 6 , , PUNCT schriner-data-2023 123 7 we we PRON schriner-data-2023 123 8 have have VERB schriner-data-2023 123 9 to to PART schriner-data-2023 123 10 format format VERB schriner-data-2023 123 11 our our PRON schriner-data-2023 123 12 text text NOUN schriner-data-2023 123 13 for for ADP schriner-data-2023 123 14 fairseq fairseq NOUN schriner-data-2023 123 15 and and CCONJ schriner-data-2023 123 16 sequence sequence NOUN schriner-data-2023 123 17 - - PUNCT schriner-data-2023 123 18 to to ADP schriner-data-2023 123 19 - - PUNCT schriner-data-2023 123 20 sequence sequence NOUN schriner-data-2023 123 21 modeling modeling NOUN schriner-data-2023 123 22 . . PUNCT schriner-data-2023 123 23     SPACE schriner-data-2023 124 1 to to PART schriner-data-2023 124 2 do do VERB schriner-data-2023 124 3 this this PRON schriner-data-2023 124 4 we we PRON schriner-data-2023 124 5 ’ll ’ll AUX schriner-data-2023 124 6 again again ADV schriner-data-2023 124 7 have have VERB schriner-data-2023 124 8 space space NOUN schriner-data-2023 124 9 - - PUNCT schriner-data-2023 124 10 separated separate VERB schriner-data-2023 124 11 characters character NOUN schriner-data-2023 124 12 that that PRON schriner-data-2023 124 13 we we PRON schriner-data-2023 124 14 ’ll ’ll AUX schriner-data-2023 124 15 convert convert VERB schriner-data-2023 124 16 to to ADP schriner-data-2023 124 17 other other ADJ schriner-data-2023 124 18 space space NOUN schriner-data-2023 124 19 - - PUNCT schriner-data-2023 124 20 separated separate VERB schriner-data-2023 124 21 characters character NOUN schriner-data-2023 124 22 . . PUNCT schriner-data-2023 124 23     SPACE schriner-data-2023 124 24 from from ADP schriner-data-2023 124 25 table table NOUN schriner-data-2023 124 26 3 3 NUM schriner-data-2023 124 27 , , PUNCT schriner-data-2023 124 28 the the DET schriner-data-2023 124 29 word word NOUN schriner-data-2023 124 30 иноки иноки NOUN schriner-data-2023 124 31 ‘ ' PUNCT schriner-data-2023 124 32 others other NOUN schriner-data-2023 124 33 ’ ' PUNCT schriner-data-2023 124 34 will will AUX schriner-data-2023 124 35 be be AUX schriner-data-2023 124 36 converted convert VERB schriner-data-2023 124 37 to to ADP schriner-data-2023 124 38 и́ноки и́ноки PUNCT schriner-data-2023 124 39 so so ADV schriner-data-2023 124 40 our our PRON schriner-data-2023 124 41 tsv tsv NOUN schriner-data-2023 124 42 file file NOUN schriner-data-2023 124 43 should should AUX schriner-data-2023 124 44 have have VERB schriner-data-2023 124 45 spaces space NOUN schriner-data-2023 124 46 : : PUNCT schriner-data-2023 124 47 и и X schriner-data-2023 124 48 н н X schriner-data-2023 125 1 о о X schriner-data-2023 125 2 к к X schriner-data-2023 125 3 и и X schriner-data-2023 125 4 will will AUX schriner-data-2023 125 5 convert convert VERB schriner-data-2023 125 6 to to ADP schriner-data-2023 125 7 и́ и́ PROPN schriner-data-2023 125 8 н н PROPN schriner-data-2023 125 9 о о NOUN schriner-data-2023 125 10 к к X schriner-data-2023 126 1 и и ADP schriner-data-2023 126 2 . . PROPN schriner-data-2023 126 3     SPACE schriner-data-2023 127 1 we we PRON schriner-data-2023 127 2 want want VERB schriner-data-2023 127 3 our our PRON schriner-data-2023 127 4 machine machine NOUN schriner-data-2023 127 5 to to PART schriner-data-2023 127 6 learn learn VERB schriner-data-2023 127 7 that that SCONJ schriner-data-2023 127 8 given give VERB schriner-data-2023 127 9 certain certain ADJ schriner-data-2023 127 10 features feature NOUN schriner-data-2023 127 11 we we PRON schriner-data-2023 127 12 can can AUX schriner-data-2023 127 13 expect expect VERB schriner-data-2023 127 14 a a DET schriner-data-2023 127 15 certain certain ADJ schriner-data-2023 127 16 outcome outcome NOUN schriner-data-2023 127 17 in in ADP schriner-data-2023 127 18 training training NOUN schriner-data-2023 127 19 . . PUNCT schriner-data-2023 127 20     SPACE schriner-data-2023 128 1 the the DET schriner-data-2023 128 2 features feature NOUN schriner-data-2023 128 3 in in ADP schriner-data-2023 128 4 table table NOUN schriner-data-2023 128 5 3 3 NUM schriner-data-2023 128 6 are be AUX schriner-data-2023 128 7 : : PUNCT schriner-data-2023 128 8 stress stress PROPN schriner-data-2023 128 9 code code PROPN schriner-data-2023 128 10 , , PUNCT schriner-data-2023 128 11 lemma lemma NOUN schriner-data-2023 128 12 ( ( PUNCT schriner-data-2023 128 13 the the DET schriner-data-2023 128 14 root root NOUN schriner-data-2023 128 15 of of ADP schriner-data-2023 128 16 the the DET schriner-data-2023 128 17 word word NOUN schriner-data-2023 128 18 ) ) PUNCT schriner-data-2023 128 19 , , PUNCT schriner-data-2023 128 20 and and CCONJ schriner-data-2023 128 21 the the DET schriner-data-2023 128 22 full full ADJ schriner-data-2023 128 23 morphology morphology NOUN schriner-data-2023 128 24 including include VERB schriner-data-2023 128 25 part part NOUN schriner-data-2023 128 26 of of ADP schriner-data-2023 128 27 speech speech NOUN schriner-data-2023 128 28 . . PUNCT schriner-data-2023 129 1 we we PRON schriner-data-2023 129 2 can can AUX schriner-data-2023 129 3 create create VERB schriner-data-2023 129 4 several several ADJ schriner-data-2023 129 5 experiments experiment NOUN schriner-data-2023 129 6 from from ADP schriner-data-2023 129 7 this this DET schriner-data-2023 129 8 data datum NOUN schriner-data-2023 129 9 including include VERB schriner-data-2023 129 10 : : PUNCT schriner-data-2023 129 11     SPACE schriner-data-2023 129 12 given give VERB schriner-data-2023 129 13 the the DET schriner-data-2023 129 14 word word NOUN schriner-data-2023 129 15 and and CCONJ schriner-data-2023 129 16 its its PRON schriner-data-2023 129 17 lemma lemma NOUN schriner-data-2023 129 18 , , PUNCT schriner-data-2023 129 19 predict predict VERB schriner-data-2023 129 20 the the DET schriner-data-2023 129 21 stress stress NOUN schriner-data-2023 129 22 code code NOUN schriner-data-2023 129 23 : : PUNCT schriner-data-2023 129 24 и и X schriner-data-2023 129 25 н н X schriner-data-2023 130 1 о о X schriner-data-2023 130 2 к к X schriner-data-2023 130 3 и и X schriner-data-2023 130 4 инока инока PROPN schriner-data-2023 130 5     SPACE schriner-data-2023 130 6 ← ← PROPN schriner-data-2023 130 7 the the DET schriner-data-2023 130 8 feature feature NOUN schriner-data-2023 130 9 added add VERB schriner-data-2023 130 10 to to ADP schriner-data-2023 130 11 the the DET schriner-data-2023 130 12 spaced space VERB schriner-data-2023 130 13 - - PUNCT schriner-data-2023 130 14 characters character NOUN schriner-data-2023 130 15 2 2 NUM schriner-data-2023 130 16     SPACE schriner-data-2023 130 17 ← ← PROPN schriner-data-2023 130 18 the the DET schriner-data-2023 130 19 target target NOUN schriner-data-2023 130 20 will will AUX schriner-data-2023 130 21 be be AUX schriner-data-2023 130 22 the the DET schriner-data-2023 130 23 stress stress NOUN schriner-data-2023 130 24 code code NOUN schriner-data-2023 130 25 , , PUNCT schriner-data-2023 130 26 three three NUM schriner-data-2023 130 27 vowels vowel NOUN schriner-data-2023 130 28 from from ADP schriner-data-2023 130 29 the the DET schriner-data-2023 130 30 end end NOUN schriner-data-2023 130 31 starting start VERB schriner-data-2023 130 32 at at ADP schriner-data-2023 130 33 0 0 NUM schriner-data-2023 130 34     SPACE schriner-data-2023 130 35 given give VERB schriner-data-2023 130 36 the the DET schriner-data-2023 130 37 word word NOUN schriner-data-2023 130 38 and and CCONJ schriner-data-2023 130 39 its its PRON schriner-data-2023 130 40 part part NOUN schriner-data-2023 130 41 of of ADP schriner-data-2023 130 42 speech speech NOUN schriner-data-2023 130 43 , , PUNCT schriner-data-2023 130 44 predict predict VERB schriner-data-2023 130 45 the the DET schriner-data-2023 130 46 stress stress NOUN schriner-data-2023 130 47 code code NOUN schriner-data-2023 130 48 : : PUNCT schriner-data-2023 130 49 и и X schriner-data-2023 130 50 н н X schriner-data-2023 131 1 о о X schriner-data-2023 131 2 к к X schriner-data-2023 131 3 и и X schriner-data-2023 131 4 noun noun PROPN schriner-data-2023 131 5     SPACE schriner-data-2023 131 6 ← ← PROPN schriner-data-2023 131 7 the the DET schriner-data-2023 131 8 feature feature NOUN schriner-data-2023 131 9 added add VERB schriner-data-2023 131 10 to to ADP schriner-data-2023 131 11 the the DET schriner-data-2023 131 12 spaced space VERB schriner-data-2023 131 13 - - PUNCT schriner-data-2023 131 14 characters character NOUN schriner-data-2023 131 15 2 2 NUM schriner-data-2023 131 16     SPACE schriner-data-2023 131 17 ← ← PROPN schriner-data-2023 131 18 the the DET schriner-data-2023 131 19 target target NOUN schriner-data-2023 131 20 will will AUX schriner-data-2023 131 21 be be AUX schriner-data-2023 131 22 the the DET schriner-data-2023 131 23 stress stress NOUN schriner-data-2023 131 24 code code NOUN schriner-data-2023 131 25 , , PUNCT schriner-data-2023 131 26 three three NUM schriner-data-2023 131 27 vowels vowel NOUN schriner-data-2023 131 28 from from ADP schriner-data-2023 131 29 the the DET schriner-data-2023 131 30 end end NOUN schriner-data-2023 131 31 starting start VERB schriner-data-2023 131 32 at at ADP schriner-data-2023 131 33 0 0 NUM schriner-data-2023 131 34     SPACE schriner-data-2023 131 35 given give VERB schriner-data-2023 131 36 the the DET schriner-data-2023 131 37 word word NOUN schriner-data-2023 131 38 and and CCONJ schriner-data-2023 131 39 all all PRON schriner-data-2023 131 40 of of ADP schriner-data-2023 131 41 its its PRON schriner-data-2023 131 42 morphological morphological ADJ schriner-data-2023 131 43 properties property NOUN schriner-data-2023 131 44 , , PUNCT schriner-data-2023 131 45 predict predict VERB schriner-data-2023 131 46 the the DET schriner-data-2023 131 47 stress stress NOUN schriner-data-2023 131 48 code code NOUN schriner-data-2023 131 49 : : PUNCT schriner-data-2023 131 50 и и X schriner-data-2023 131 51 н н X schriner-data-2023 132 1 о о X schriner-data-2023 132 2 к к X schriner-data-2023 132 3 и и X schriner-data-2023 132 4 n;fem;anim;pl;nom n;fem;anim;pl;nom PROPN schriner-data-2023 132 5     SPACE schriner-data-2023 132 6 ← ← PROPN schriner-data-2023 132 7 the the DET schriner-data-2023 132 8 feature feature NOUN schriner-data-2023 132 9 added add VERB schriner-data-2023 132 10 to to ADP schriner-data-2023 132 11 the the DET schriner-data-2023 132 12 spaced space VERB schriner-data-2023 132 13 - - PUNCT schriner-data-2023 132 14 characters character NOUN schriner-data-2023 132 15 2 2 NUM schriner-data-2023 132 16     SPACE schriner-data-2023 132 17 ← ← PROPN schriner-data-2023 132 18 the the DET schriner-data-2023 132 19 target target NOUN schriner-data-2023 132 20 will will AUX schriner-data-2023 132 21 be be AUX schriner-data-2023 132 22 the the DET schriner-data-2023 132 23 stress stress NOUN schriner-data-2023 132 24 code code NOUN schriner-data-2023 132 25 , , PUNCT schriner-data-2023 132 26 three three NUM schriner-data-2023 132 27 vowels vowel NOUN schriner-data-2023 132 28 from from ADP schriner-data-2023 132 29 the the DET schriner-data-2023 132 30 end end NOUN schriner-data-2023 132 31 starting start VERB schriner-data-2023 132 32 at at ADP schriner-data-2023 132 33 0 0 NUM schriner-data-2023 132 34     SPACE schriner-data-2023 132 35 from from ADP schriner-data-2023 132 36 the the DET schriner-data-2023 132 37 first first ADJ schriner-data-2023 132 38 experiment experiment NOUN schriner-data-2023 132 39 , , PUNCT schriner-data-2023 132 40 the the DET schriner-data-2023 132 41 data datum NOUN schriner-data-2023 132 42 in in ADP schriner-data-2023 132 43 the the DET schriner-data-2023 132 44 tsv tsv NOUN schriner-data-2023 132 45 would would AUX schriner-data-2023 132 46 be be AUX schriner-data-2023 132 47 formatted format VERB schriner-data-2023 132 48 like like INTJ schriner-data-2023 132 49 so so ADV schriner-data-2023 132 50 , , PUNCT schriner-data-2023 132 51 with with SCONJ schriner-data-2023 132 52 the the DET schriner-data-2023 132 53 feature feature NOUN schriner-data-2023 132 54 added add VERB schriner-data-2023 132 55 to to ADP schriner-data-2023 132 56 the the DET schriner-data-2023 132 57 end end NOUN schriner-data-2023 132 58 of of ADP schriner-data-2023 132 59 the the DET schriner-data-2023 132 60 data datum NOUN schriner-data-2023 132 61 in in ADP schriner-data-2023 132 62 the the DET schriner-data-2023 132 63 first first ADJ schriner-data-2023 132 64 column column NOUN schriner-data-2023 132 65 , , PUNCT schriner-data-2023 132 66 itself itself PRON schriner-data-2023 132 67 with with ADP schriner-data-2023 132 68 no no DET schriner-data-2023 132 69 spaces space NOUN schriner-data-2023 132 70 : : PUNCT schriner-data-2023 132 71 table table NOUN schriner-data-2023 132 72 4 4 NUM schriner-data-2023 132 73 . . PUNCT schriner-data-2023 133 1 formatting format VERB schriner-data-2023 133 2 the the DET schriner-data-2023 133 3 tsv tsv PROPN schriner-data-2023 133 4 data data PROPN schriner-data-2023 133 5 . . PUNCT schriner-data-2023 133 6     SPACE schriner-data-2023 134 1 source source NOUN schriner-data-2023 134 2 ( ( PUNCT schriner-data-2023 134 3 column column NOUN schriner-data-2023 134 4 1 1 NUM schriner-data-2023 134 5 ) ) PUNCT schriner-data-2023 134 6 target target NOUN schriner-data-2023 134 7 ( ( PUNCT schriner-data-2023 134 8 column column NOUN schriner-data-2023 134 9 2 2 NUM schriner-data-2023 134 10 ) ) PUNCT schriner-data-2023 134 11 я я NOUN schriner-data-2023 135 1 м м PUNCT schriner-data-2023 136 1 б б X schriner-data-2023 137 1 а а INTJ schriner-data-2023 138 1 м м X schriner-data-2023 139 1 ямб ямб PROPN schriner-data-2023 140 1 0 0 NUM schriner-data-2023 141 1 ш ш NOUN schriner-data-2023 141 2 и и X schriner-data-2023 141 3 х х X schriner-data-2023 141 4 т т X schriner-data-2023 142 1 о о X schriner-data-2023 142 2 в в X schriner-data-2023 142 3 е е X schriner-data-2023 142 4 е е PROPN schriner-data-2023 142 5 шихтовой шихтовой PROPN schriner-data-2023 142 6 1 1 NUM schriner-data-2023 143 1 щ щ INTJ schriner-data-2023 143 2 е е X schriner-data-2023 144 1 л л X schriner-data-2023 144 2 к к X schriner-data-2023 145 1 а а INTJ schriner-data-2023 145 2 н н PUNCT schriner-data-2023 145 3 у у NOUN schriner-data-2023 145 4 т т ADP schriner-data-2023 145 5 ь ь NOUN schriner-data-2023 145 6 щелкануть щелкануть PROPN schriner-data-2023 145 7 0 0 PUNCT schriner-data-2023 146 1 и и X schriner-data-2023 146 2 н н X schriner-data-2023 147 1 о о X schriner-data-2023 147 2 к к X schriner-data-2023 148 1 и и ADP schriner-data-2023 148 2 инока инока NOUN schriner-data-2023 148 3 2 2 NUM schriner-data-2023 148 4 с с X schriner-data-2023 148 5 т т VERB schriner-data-2023 149 1 ё ё X schriner-data-2023 150 1 с с X schriner-data-2023 150 2 а а X schriner-data-2023 150 3 н н NOUN schriner-data-2023 150 4 н н X schriner-data-2023 151 1 о о X schriner-data-2023 151 2 м м PUNCT schriner-data-2023 151 3 стесать стесать PROPN schriner-data-2023 151 4 2 2 NUM schriner-data-2023 151 5         SPACE schriner-data-2023 151 6 the the DET schriner-data-2023 151 7 same same ADJ schriner-data-2023 151 8 methods method NOUN schriner-data-2023 151 9 used use VERB schriner-data-2023 151 10 in in ADP schriner-data-2023 151 11 the the DET schriner-data-2023 151 12 esperanto esperanto ADJ schriner-data-2023 151 13 example example NOUN schriner-data-2023 151 14 could could AUX schriner-data-2023 151 15 be be AUX schriner-data-2023 151 16 used use VERB schriner-data-2023 151 17 : : PUNCT schriner-data-2023 151 18 we we PRON schriner-data-2023 151 19 would would AUX schriner-data-2023 151 20 train train VERB schriner-data-2023 151 21 the the DET schriner-data-2023 151 22 model model NOUN schriner-data-2023 151 23 using use VERB schriner-data-2023 151 24 fairseq fairseq NOUN schriner-data-2023 151 25 on on ADP schriner-data-2023 151 26 80 80 NUM schriner-data-2023 151 27 % % NOUN schriner-data-2023 151 28 of of ADP schriner-data-2023 151 29 the the DET schriner-data-2023 151 30 data datum NOUN schriner-data-2023 151 31 so so SCONJ schriner-data-2023 151 32 the the DET schriner-data-2023 151 33 model model NOUN schriner-data-2023 151 34 can can AUX schriner-data-2023 151 35 learn learn VERB schriner-data-2023 151 36 that that SCONJ schriner-data-2023 151 37 words word NOUN schriner-data-2023 151 38 like like ADP schriner-data-2023 151 39 иноки иноки NOUN schriner-data-2023 151 40 with with ADP schriner-data-2023 151 41 the the DET schriner-data-2023 151 42 root root NOUN schriner-data-2023 151 43 of of ADP schriner-data-2023 151 44 инока инока NOUN schriner-data-2023 151 45 would would AUX schriner-data-2023 151 46 have have VERB schriner-data-2023 151 47 a a DET schriner-data-2023 151 48 stress stress NOUN schriner-data-2023 151 49 code code NOUN schriner-data-2023 151 50 of of ADP schriner-data-2023 151 51 2 2 NUM schriner-data-2023 151 52 . . PUNCT schriner-data-2023 151 53     SPACE schriner-data-2023 151 54 once once ADV schriner-data-2023 151 55 trained train VERB schriner-data-2023 151 56 , , PUNCT schriner-data-2023 151 57 we we PRON schriner-data-2023 151 58 choose choose VERB schriner-data-2023 151 59 the the DET schriner-data-2023 151 60 model model NOUN schriner-data-2023 151 61 that that PRON schriner-data-2023 151 62 performs perform VERB schriner-data-2023 151 63 best well ADV schriner-data-2023 151 64 on on ADP schriner-data-2023 151 65 the the DET schriner-data-2023 151 66 dev dev NOUN schriner-data-2023 151 67 set set NOUN schriner-data-2023 151 68 ( ( PUNCT schriner-data-2023 151 69 10 10 NUM schriner-data-2023 151 70 % % NOUN schriner-data-2023 151 71 ) ) PUNCT schriner-data-2023 151 72 . . PUNCT schriner-data-2023 151 73     SPACE schriner-data-2023 152 1 then then ADV schriner-data-2023 152 2 we we PRON schriner-data-2023 152 3 use use VERB schriner-data-2023 152 4 that that DET schriner-data-2023 152 5 model model NOUN schriner-data-2023 152 6 on on ADP schriner-data-2023 152 7 completely completely ADV schriner-data-2023 152 8 unseen unseen ADJ schriner-data-2023 152 9 data datum NOUN schriner-data-2023 152 10 in in ADP schriner-data-2023 152 11 the the DET schriner-data-2023 152 12 test test NOUN schriner-data-2023 152 13 set set NOUN schriner-data-2023 152 14 ( ( PUNCT schriner-data-2023 152 15 10 10 NUM schriner-data-2023 152 16 % % NOUN schriner-data-2023 152 17 ) ) PUNCT schriner-data-2023 152 18 . . PUNCT schriner-data-2023 152 19     SPACE schriner-data-2023 152 20 by by ADP schriner-data-2023 152 21 examining examine VERB schriner-data-2023 152 22 and and CCONJ schriner-data-2023 152 23 contrasting contrast VERB schriner-data-2023 152 24 different different ADJ schriner-data-2023 152 25 experiments experiment NOUN schriner-data-2023 152 26 , , PUNCT schriner-data-2023 152 27 we we PRON schriner-data-2023 152 28 can can AUX schriner-data-2023 152 29 see see VERB schriner-data-2023 152 30 if if SCONJ schriner-data-2023 152 31 knowing know VERB schriner-data-2023 152 32 the the DET schriner-data-2023 152 33 word word NOUN schriner-data-2023 152 34 ’s ’s PART schriner-data-2023 152 35 root root NOUN schriner-data-2023 152 36 helps help VERB schriner-data-2023 152 37 in in ADP schriner-data-2023 152 38 placement placement NOUN schriner-data-2023 152 39 of of ADP schriner-data-2023 152 40 the the DET schriner-data-2023 152 41 stress stress NOUN schriner-data-2023 152 42 , , PUNCT schriner-data-2023 152 43 or or CCONJ schriner-data-2023 152 44 if if SCONJ schriner-data-2023 152 45 adjectives adjective NOUN schriner-data-2023 152 46 tend tend VERB schriner-data-2023 152 47 to to PART schriner-data-2023 152 48 have have VERB schriner-data-2023 152 49 stress stress NOUN schriner-data-2023 152 50 in in ADP schriner-data-2023 152 51 particular particular ADJ schriner-data-2023 152 52 places place NOUN schriner-data-2023 152 53 , , PUNCT schriner-data-2023 152 54 or or CCONJ schriner-data-2023 152 55 possibly possibly ADV schriner-data-2023 152 56 even even ADV schriner-data-2023 152 57 that that SCONJ schriner-data-2023 152 58 the the DET schriner-data-2023 152 59 ambiguity ambiguity NOUN schriner-data-2023 152 60 in in ADP schriner-data-2023 152 61 stress stress NOUN schriner-data-2023 152 62 - - PUNCT schriner-data-2023 152 63 placement placement NOUN schriner-data-2023 152 64 can can AUX schriner-data-2023 152 65 not not PART schriner-data-2023 152 66 be be AUX schriner-data-2023 152 67 aided aid VERB schriner-data-2023 152 68 with with ADP schriner-data-2023 152 69 this this DET schriner-data-2023 152 70 type type NOUN schriner-data-2023 152 71 of of ADP schriner-data-2023 152 72 machine machine NOUN schriner-data-2023 152 73 - - PUNCT schriner-data-2023 152 74 learning learning NOUN schriner-data-2023 152 75 . . PUNCT schriner-data-2023 152 76     SPACE schriner-data-2023 153 1 experiments experiment NOUN schriner-data-2023 153 2 similar similar ADJ schriner-data-2023 153 3 to to ADP schriner-data-2023 153 4 these these PRON schriner-data-2023 153 5 were be AUX schriner-data-2023 153 6 conducted conduct VERB schriner-data-2023 153 7 in in ADP schriner-data-2023 153 8 schriner schriner NOUN schriner-data-2023 153 9 ( ( PUNCT schriner-data-2023 153 10 2022 2022 NUM schriner-data-2023 153 11 ) ) PUNCT schriner-data-2023 153 12 , , PUNCT schriner-data-2023 153 13 showing show VERB schriner-data-2023 153 14 that that SCONJ schriner-data-2023 153 15 knowing know VERB schriner-data-2023 153 16 the the DET schriner-data-2023 153 17 word word NOUN schriner-data-2023 153 18 ’s ’s PART schriner-data-2023 153 19 root root NOUN schriner-data-2023 153 20 led lead VERB schriner-data-2023 153 21 to to ADP schriner-data-2023 153 22 the the DET schriner-data-2023 153 23 best good ADJ schriner-data-2023 153 24 predictions prediction NOUN schriner-data-2023 153 25 and and CCONJ schriner-data-2023 153 26 the the DET schriner-data-2023 153 27 lowest low ADJ schriner-data-2023 153 28 word word NOUN schriner-data-2023 153 29 error error NOUN schriner-data-2023 153 30 rate rate NOUN schriner-data-2023 153 31 , , PUNCT schriner-data-2023 153 32 while while SCONJ schriner-data-2023 153 33 adding add VERB schriner-data-2023 153 34 the the DET schriner-data-2023 153 35 part part NOUN schriner-data-2023 153 36 of of ADP schriner-data-2023 153 37 speech speech NOUN schriner-data-2023 153 38 feature feature NOUN schriner-data-2023 153 39 led lead VERB schriner-data-2023 153 40 to to ADP schriner-data-2023 153 41 the the DET schriner-data-2023 153 42 worst bad ADJ schriner-data-2023 153 43 results result NOUN schriner-data-2023 153 44 and and CCONJ schriner-data-2023 153 45 the the DET schriner-data-2023 153 46 highest high ADJ schriner-data-2023 153 47 word word NOUN schriner-data-2023 153 48 error error NOUN schriner-data-2023 153 49 rate rate NOUN schriner-data-2023 153 50 . . PUNCT schriner-data-2023 154 1 conclusion conclusion NOUN schriner-data-2023 154 2 preparing prepare VERB schriner-data-2023 154 3 for for ADP schriner-data-2023 154 4 experiments experiment NOUN schriner-data-2023 154 5 like like ADP schriner-data-2023 154 6 those those PRON schriner-data-2023 154 7 above above ADP schriner-data-2023 154 8 require require VERB schriner-data-2023 154 9 hypotheses hypothesis NOUN schriner-data-2023 154 10 , , PUNCT schriner-data-2023 154 11 planning plan VERB schriner-data-2023 154 12 , , PUNCT schriner-data-2023 154 13 and and CCONJ schriner-data-2023 154 14 formatting format VERB schriner-data-2023 154 15 the the DET schriner-data-2023 154 16 data datum NOUN schriner-data-2023 154 17 for for ADP schriner-data-2023 154 18 the the DET schriner-data-2023 154 19 software software NOUN schriner-data-2023 154 20 . . PUNCT schriner-data-2023 154 21     SPACE schriner-data-2023 155 1 we we PRON schriner-data-2023 155 2 used use VERB schriner-data-2023 155 3 fairseq fairseq NOUN schriner-data-2023 155 4 and and CCONJ schriner-data-2023 155 5 found find VERB schriner-data-2023 155 6 that that SCONJ schriner-data-2023 155 7 with with ADP schriner-data-2023 155 8 our our PRON schriner-data-2023 155 9 wikipron wikipron ADJ schriner-data-2023 155 10 data datum NOUN schriner-data-2023 155 11 , , PUNCT schriner-data-2023 155 12 the the DET schriner-data-2023 155 13 model model NOUN schriner-data-2023 155 14 we we PRON schriner-data-2023 155 15 chose choose VERB schriner-data-2023 155 16 had have VERB schriner-data-2023 155 17 no no DET schriner-data-2023 155 18 errors error NOUN schriner-data-2023 155 19 in in ADP schriner-data-2023 155 20 predicting predict VERB schriner-data-2023 155 21 pronunciation pronunciation NOUN schriner-data-2023 155 22 in in ADP schriner-data-2023 155 23 esperanto esperanto PROPN schriner-data-2023 155 24 , , PUNCT schriner-data-2023 155 25 even even ADV schriner-data-2023 155 26 with with ADP schriner-data-2023 155 27 unseen unseen ADJ schriner-data-2023 155 28 data datum NOUN schriner-data-2023 155 29 . . PUNCT schriner-data-2023 155 30     SPACE schriner-data-2023 156 1 in in ADP schriner-data-2023 156 2 the the DET schriner-data-2023 156 3 russian russian ADJ schriner-data-2023 156 4 stress stress NOUN schriner-data-2023 156 5 experiment experiment NOUN schriner-data-2023 156 6 we we PRON schriner-data-2023 156 7 looked look VERB schriner-data-2023 156 8 at at ADP schriner-data-2023 156 9 how how SCONJ schriner-data-2023 156 10 to to PART schriner-data-2023 156 11 prepare prepare VERB schriner-data-2023 156 12 data datum NOUN schriner-data-2023 156 13 in in ADP schriner-data-2023 156 14 the the DET schriner-data-2023 156 15 same same ADJ schriner-data-2023 156 16 way way NOUN schriner-data-2023 156 17 but but CCONJ schriner-data-2023 156 18 added add VERB schriner-data-2023 156 19 features feature NOUN schriner-data-2023 156 20 to to ADP schriner-data-2023 156 21 the the DET schriner-data-2023 156 22 model model NOUN schriner-data-2023 156 23 ’s ’s PART schriner-data-2023 156 24 training training NOUN schriner-data-2023 156 25 . . PUNCT schriner-data-2023 156 26     SPACE schriner-data-2023 157 1 the the DET schriner-data-2023 157 2 fairseq fairseq NOUN schriner-data-2023 157 3 framework framework NOUN schriner-data-2023 157 4 makes make VERB schriner-data-2023 157 5 it it PRON schriner-data-2023 157 6 astonishingly astonishingly ADV schriner-data-2023 157 7 easy easy ADJ schriner-data-2023 157 8 to to PART schriner-data-2023 157 9 toggle toggle VERB schriner-data-2023 157 10 and and CCONJ schriner-data-2023 157 11 experiment experiment VERB schriner-data-2023 157 12 with with ADP schriner-data-2023 157 13 different different ADJ schriner-data-2023 157 14 parameters parameter NOUN schriner-data-2023 157 15 from from ADP schriner-data-2023 157 16 the the DET schriner-data-2023 157 17 terminal terminal NOUN schriner-data-2023 157 18 and and CCONJ schriner-data-2023 157 19 work work VERB schriner-data-2023 157 20 on on ADP schriner-data-2023 157 21 experiments experiment NOUN schriner-data-2023 157 22 like like ADP schriner-data-2023 157 23 those those PRON schriner-data-2023 157 24 described describe VERB schriner-data-2023 157 25 above above ADV schriner-data-2023 157 26 . . PUNCT schriner-data-2023 157 27     SPACE schriner-data-2023 157 28 with with ADP schriner-data-2023 157 29 continued continued ADJ schriner-data-2023 157 30 , , PUNCT schriner-data-2023 157 31 collaborative collaborative ADJ schriner-data-2023 157 32 , , PUNCT schriner-data-2023 157 33 and and CCONJ schriner-data-2023 157 34 open open ADJ schriner-data-2023 157 35 data datum NOUN schriner-data-2023 157 36 , , PUNCT schriner-data-2023 157 37 we we PRON schriner-data-2023 157 38 can can AUX schriner-data-2023 157 39 expect expect VERB schriner-data-2023 157 40 invaluable invaluable ADJ schriner-data-2023 157 41 further further ADJ schriner-data-2023 157 42 research research NOUN schriner-data-2023 157 43 in in ADP schriner-data-2023 157 44 this this DET schriner-data-2023 157 45 area area NOUN schriner-data-2023 157 46 . . PUNCT schriner-data-2023 158 1 about about ADP schriner-data-2023 158 2 the the DET schriner-data-2023 158 3 author author NOUN schriner-data-2023 158 4 john john PROPN schriner-data-2023 158 5 schriner schriner PROPN schriner-data-2023 158 6 is be AUX schriner-data-2023 158 7 the the DET schriner-data-2023 158 8 e e NOUN schriner-data-2023 158 9 - - NOUN schriner-data-2023 158 10 resources resource NOUN schriner-data-2023 158 11 and and CCONJ schriner-data-2023 158 12 digital digital ADJ schriner-data-2023 158 13 initiatives initiative NOUN schriner-data-2023 158 14 librarian librarian NOUN schriner-data-2023 158 15 at at ADP schriner-data-2023 158 16 nyu nyu PROPN schriner-data-2023 158 17 law law NOUN schriner-data-2023 158 18 school school NOUN schriner-data-2023 158 19 . . PUNCT schriner-data-2023 159 1 his his PRON schriner-data-2023 159 2 research research NOUN schriner-data-2023 159 3 tends tend VERB schriner-data-2023 159 4 to to PART schriner-data-2023 159 5 coalesce coalesce VERB schriner-data-2023 159 6 at at ADP schriner-data-2023 159 7 the the DET schriner-data-2023 159 8 intersection intersection NOUN schriner-data-2023 159 9 of of ADP schriner-data-2023 159 10 linguistics linguistic NOUN schriner-data-2023 159 11 , , PUNCT schriner-data-2023 159 12 cybersecurity cybersecurity NOUN schriner-data-2023 159 13 , , PUNCT schriner-data-2023 159 14 and and CCONJ schriner-data-2023 159 15 librarianship librarianship NOUN schriner-data-2023 159 16 . . PUNCT schriner-data-2023 160 1 references reference NOUN schriner-data-2023 160 2 chen chen PROPN schriner-data-2023 160 3 , , PUNCT schriner-data-2023 160 4 h. h. PROPN schriner-data-2023 160 5 ( ( PUNCT schriner-data-2023 160 6 1995 1995 NUM schriner-data-2023 160 7 ) ) PUNCT schriner-data-2023 160 8 . . PUNCT schriner-data-2023 161 1 machine machine NOUN schriner-data-2023 161 2 learning learn VERB schriner-data-2023 161 3 for for ADP schriner-data-2023 161 4 information information NOUN schriner-data-2023 161 5 retrieval retrieval NOUN schriner-data-2023 161 6 : : PUNCT schriner-data-2023 161 7 neural neural ADJ schriner-data-2023 161 8 networks network NOUN schriner-data-2023 161 9 , , PUNCT schriner-data-2023 161 10 symbolic symbolic ADJ schriner-data-2023 161 11 learning learning NOUN schriner-data-2023 161 12 , , PUNCT schriner-data-2023 161 13 and and CCONJ schriner-data-2023 161 14 genetic genetic ADJ schriner-data-2023 161 15 algorithms algorithm NOUN schriner-data-2023 161 16 . . PUNCT schriner-data-2023 162 1 journal journal PROPN schriner-data-2023 162 2 of of ADP schriner-data-2023 162 3 the the DET schriner-data-2023 162 4 american american ADJ schriner-data-2023 162 5 society society NOUN schriner-data-2023 162 6 for for ADP schriner-data-2023 162 7 information information NOUN schriner-data-2023 162 8 science science NOUN schriner-data-2023 162 9 , , PUNCT schriner-data-2023 162 10 46(3 46(3 NUM schriner-data-2023 162 11 ) ) PUNCT schriner-data-2023 162 12 , , PUNCT schriner-data-2023 162 13 194–216 194–216 NUM schriner-data-2023 162 14 . . PUNCT schriner-data-2023 163 1 https://doi.org/10.1002/(sici)1097-4571(199504)46:3<194::aid-asi4>3.0.co;2-s https://doi.org/10.1002/(sici)1097-4571(199504)46:3<194::aid-asi4>3.0.co;2-s PROPN schriner-data-2023 163 2 lee lee PROPN schriner-data-2023 163 3 , , PUNCT schriner-data-2023 163 4 j.l j.l PROPN schriner-data-2023 163 5 . . PROPN schriner-data-2023 163 6 , , PUNCT schriner-data-2023 163 7 ashby ashby PROPN schriner-data-2023 163 8 , , PUNCT schriner-data-2023 163 9 l. l. PROPN schriner-data-2023 163 10 , , PUNCT schriner-data-2023 163 11 garza garza PROPN schriner-data-2023 163 12 , , PUNCT schriner-data-2023 163 13 e. e. PROPN schriner-data-2023 163 14 , , PUNCT schriner-data-2023 163 15 lee lee PROPN schriner-data-2023 163 16 - - PUNCT schriner-data-2023 163 17 sikka sikka PROPN schriner-data-2023 163 18 , , PUNCT schriner-data-2023 163 19 y. y. PROPN schriner-data-2023 163 20 , , PUNCT schriner-data-2023 163 21 miller miller PROPN schriner-data-2023 163 22 , , PUNCT schriner-data-2023 163 23 s. s. PROPN schriner-data-2023 163 24 , , PUNCT schriner-data-2023 163 25 wong wong PROPN schriner-data-2023 163 26 , , PUNCT schriner-data-2023 163 27 a. a. PROPN schriner-data-2023 163 28 , , PUNCT schriner-data-2023 163 29 mccarthy mccarthy PROPN schriner-data-2023 163 30 , , PUNCT schriner-data-2023 163 31 a. a. NOUN schriner-data-2023 163 32 , , PUNCT schriner-data-2023 163 33 and and CCONJ schriner-data-2023 163 34 gorman gorman PROPN schriner-data-2023 163 35 , , PUNCT schriner-data-2023 163 36 k. k. PROPN schriner-data-2023 163 37 ( ( PUNCT schriner-data-2023 163 38 2020 2020 NUM schriner-data-2023 163 39 ) ) PUNCT schriner-data-2023 163 40 . . PUNCT schriner-data-2023 164 1 massively massively ADV schriner-data-2023 164 2 multilingual multilingual ADJ schriner-data-2023 164 3 pronunciation pronunciation NOUN schriner-data-2023 164 4 mining mining NOUN schriner-data-2023 164 5 with with ADP schriner-data-2023 164 6 wikipron wikipron PROPN schriner-data-2023 164 7 . . PUNCT schriner-data-2023 165 1 in in ADP schriner-data-2023 165 2 proceedings proceeding NOUN schriner-data-2023 165 3 of of ADP schriner-data-2023 165 4 the the DET schriner-data-2023 165 5 12th 12th ADJ schriner-data-2023 165 6 language language NOUN schriner-data-2023 165 7 resources resource NOUN schriner-data-2023 165 8 and and CCONJ schriner-data-2023 165 9 evaluation evaluation NOUN schriner-data-2023 165 10 conference conference NOUN schriner-data-2023 165 11 , , PUNCT schriner-data-2023 165 12 pages page NOUN schriner-data-2023 165 13 4223 4223 NUM schriner-data-2023 165 14 - - SYM schriner-data-2023 165 15 4228 4228 NUM schriner-data-2023 165 16 . . PUNCT schriner-data-2023 166 1 open open ADJ schriner-data-2023 166 2 data datum NOUN schriner-data-2023 166 3 . . PUNCT schriner-data-2023 167 1 ( ( PUNCT schriner-data-2023 167 2 n.d n.d PROPN schriner-data-2023 167 3 . . PROPN schriner-data-2023 167 4 ) ) PUNCT schriner-data-2023 167 5 . . PUNCT schriner-data-2023 168 1 sparc sparc PROPN schriner-data-2023 168 2 . . PUNCT schriner-data-2023 169 1 retrieved retrieve VERB schriner-data-2023 169 2 november november PROPN schriner-data-2023 169 3 29 29 NUM schriner-data-2023 169 4 , , PUNCT schriner-data-2023 169 5 2022 2022 NUM schriner-data-2023 169 6 , , PUNCT schriner-data-2023 169 7 from from ADP schriner-data-2023 169 8 https://sparcopen.org/open-data/ https://sparcopen.org/open-data/ PROPN schriner-data-2023 169 9 ott ott PROPN schriner-data-2023 169 10 , , PUNCT schriner-data-2023 169 11 m. m. PROPN schriner-data-2023 169 12 , , PUNCT schriner-data-2023 169 13 edunov edunov PROPN schriner-data-2023 169 14 , , PUNCT schriner-data-2023 169 15 s. s. PROPN schriner-data-2023 169 16 , , PUNCT schriner-data-2023 169 17 baevski baevski PROPN schriner-data-2023 169 18 , , PUNCT schriner-data-2023 169 19 a. a. PROPN schriner-data-2023 169 20 , , PUNCT schriner-data-2023 169 21 fan fan PROPN schriner-data-2023 169 22 , , PUNCT schriner-data-2023 169 23 a. a. PROPN schriner-data-2023 169 24 , , PUNCT schriner-data-2023 169 25 gross gross PROPN schriner-data-2023 169 26 , , PUNCT schriner-data-2023 169 27 s. s. PROPN schriner-data-2023 169 28 , , PUNCT schriner-data-2023 169 29 ng ng PROPN schriner-data-2023 169 30 , , PUNCT schriner-data-2023 169 31 n n PROPN schriner-data-2023 169 32 , , PUNCT schriner-data-2023 169 33 . . PUNCT schriner-data-2023 170 1 grangier grangier PROPN schriner-data-2023 170 2 , , PUNCT schriner-data-2023 170 3 d. d. PROPN schriner-data-2023 170 4 , , PUNCT schriner-data-2023 170 5 and and CCONJ schriner-data-2023 170 6 auli auli PROPN schriner-data-2023 170 7 , , PUNCT schriner-data-2023 170 8 m. m. NOUN schriner-data-2023 170 9 ( ( PUNCT schriner-data-2023 170 10 2019 2019 NUM schriner-data-2023 170 11 ) ) PUNCT schriner-data-2023 170 12 . . PUNCT schriner-data-2023 171 1 fairseq fairseq VERB schriner-data-2023 171 2 : : PUNCT schriner-data-2023 171 3 a a DET schriner-data-2023 171 4 fast fast ADJ schriner-data-2023 171 5 , , PUNCT schriner-data-2023 171 6 extensible extensible ADJ schriner-data-2023 171 7 toolkit toolkit NOUN schriner-data-2023 171 8 for for ADP schriner-data-2023 171 9 sequence sequence NOUN schriner-data-2023 171 10 modeling model VERB schriner-data-2023 171 11 . . PUNCT schriner-data-2023 172 1 in in ADP schriner-data-2023 172 2 proceedings proceeding NOUN schriner-data-2023 172 3 of of ADP schriner-data-2023 172 4 the the DET schriner-data-2023 172 5 2019 2019 NUM schriner-data-2023 172 6 conference conference NOUN schriner-data-2023 172 7 of of ADP schriner-data-2023 172 8 the the DET schriner-data-2023 172 9 north north PROPN schriner-data-2023 172 10 american american ADJ schriner-data-2023 172 11 chapter chapter NOUN schriner-data-2023 172 12 of of ADP schriner-data-2023 172 13 the the DET schriner-data-2023 172 14 association association NOUN schriner-data-2023 172 15 for for ADP schriner-data-2023 172 16 computational computational ADJ schriner-data-2023 172 17 linguistics linguistic NOUN schriner-data-2023 172 18 ( ( PUNCT schriner-data-2023 172 19 demonstrations demonstration NOUN schriner-data-2023 172 20 ) ) PUNCT schriner-data-2023 172 21 , , PUNCT schriner-data-2023 172 22 minneapolis minneapolis PROPN schriner-data-2023 172 23 , , PUNCT schriner-data-2023 172 24 minnesota minnesota PROPN schriner-data-2023 172 25 . . PUNCT schriner-data-2023 173 1 association association NOUN schriner-data-2023 173 2 for for ADP schriner-data-2023 173 3 computational computational ADJ schriner-data-2023 173 4 linguistics linguistic NOUN schriner-data-2023 173 5 , , PUNCT schriner-data-2023 173 6 ( ( PUNCT schriner-data-2023 173 7 pp pp PROPN schriner-data-2023 173 8 . . PROPN schriner-data-2023 173 9 48 48 NUM schriner-data-2023 173 10 - - SYM schriner-data-2023 173 11 53 53 NUM schriner-data-2023 173 12 ) ) PUNCT schriner-data-2023 173 13 . . PUNCT schriner-data-2023 174 1 sanaullah sanaullah PROPN schriner-data-2023 174 2 , , PUNCT schriner-data-2023 174 3 a. a. PROPN schriner-data-2023 174 4 r. r. PROPN schriner-data-2023 174 5 , , PUNCT schriner-data-2023 174 6 das das PROPN schriner-data-2023 174 7 , , PUNCT schriner-data-2023 174 8 a. a. PROPN schriner-data-2023 174 9 , , PUNCT schriner-data-2023 174 10 das das PROPN schriner-data-2023 174 11 , , PUNCT schriner-data-2023 174 12 a. a. PROPN schriner-data-2023 174 13 , , PUNCT schriner-data-2023 174 14 kabir kabir PROPN schriner-data-2023 174 15 , , PUNCT schriner-data-2023 174 16 m. m. PROPN schriner-data-2023 174 17 a. a. PROPN schriner-data-2023 174 18 , , PUNCT schriner-data-2023 174 19 & & CCONJ schriner-data-2023 174 20 shu shu PROPN schriner-data-2023 174 21 , , PUNCT schriner-data-2023 174 22 k. k. PROPN schriner-data-2023 174 23 ( ( PUNCT schriner-data-2023 174 24 2022 2022 NUM schriner-data-2023 174 25 ) ) PUNCT schriner-data-2023 174 26 . . PUNCT schriner-data-2023 175 1 applications application NOUN schriner-data-2023 175 2 of of ADP schriner-data-2023 175 3 machine machine NOUN schriner-data-2023 175 4 learning learning NOUN schriner-data-2023 175 5 for for ADP schriner-data-2023 175 6 covid-19 covid-19 PROPN schriner-data-2023 175 7 misinformation misinformation NOUN schriner-data-2023 175 8 : : PUNCT schriner-data-2023 175 9 a a DET schriner-data-2023 175 10 systematic systematic ADJ schriner-data-2023 175 11 review review NOUN schriner-data-2023 175 12 . . PUNCT schriner-data-2023 176 1 social social PROPN schriner-data-2023 176 2 network network NOUN schriner-data-2023 176 3 analysis analysis NOUN schriner-data-2023 176 4 and and CCONJ schriner-data-2023 176 5 mining mining NOUN schriner-data-2023 176 6 , , PUNCT schriner-data-2023 176 7 12(1 12(1 NUM schriner-data-2023 176 8 ) ) PUNCT schriner-data-2023 176 9 , , PUNCT schriner-data-2023 176 10 94 94 NUM schriner-data-2023 176 11 . . PUNCT schriner-data-2023 176 12 https://doi.org/10.1007/s13278-022-00921-9 https://doi.org/10.1007/s13278-022-00921-9 NUM schriner-data-2023 177 1 schriner schriner PROPN schriner-data-2023 177 2 , , PUNCT schriner-data-2023 177 3 j. j. PROPN schriner-data-2023 177 4 ( ( PUNCT schriner-data-2023 177 5 2022 2022 NUM schriner-data-2023 177 6 ) ) PUNCT schriner-data-2023 177 7 . . PUNCT schriner-data-2023 178 1 predicting predict VERB schriner-data-2023 178 2 stress stress NOUN schriner-data-2023 178 3 in in ADP schriner-data-2023 178 4 russian russian ADJ schriner-data-2023 178 5 using use VERB schriner-data-2023 178 6 modern modern ADJ schriner-data-2023 178 7 machine machine NOUN schriner-data-2023 178 8 - - PUNCT schriner-data-2023 178 9 learning learn VERB schriner-data-2023 178 10 tools tool NOUN schriner-data-2023 178 11 . . PUNCT schriner-data-2023 179 1 https://academicworks.cuny.edu/gc_etds/4974/ https://academicworks.cuny.edu/gc_etds/4974/ X schriner-data-2023 179 2 wade wade PROPN schriner-data-2023 179 3 , , PUNCT schriner-data-2023 179 4 t. t. PROPN schriner-data-2023 179 5 , , PUNCT schriner-data-2023 179 6 & & CCONJ schriner-data-2023 179 7 gillespie gillespie PROPN schriner-data-2023 179 8 , , PUNCT schriner-data-2023 179 9 d. d. PROPN schriner-data-2023 179 10 ( ( PUNCT schriner-data-2023 179 11 2011 2011 NUM schriner-data-2023 179 12 ) ) PUNCT schriner-data-2023 179 13 . . PUNCT schriner-data-2023 180 1 a a DET schriner-data-2023 180 2 comprehensive comprehensive ADJ schriner-data-2023 180 3 russian russian ADJ schriner-data-2023 180 4 grammar grammar PROPN schriner-data-2023 180 5 . . PUNCT schriner-data-2023 181 1 wiley wiley PROPN schriner-data-2023 181 2 - - PUNCT schriner-data-2023 181 3 blackwell blackwell PROPN schriner-data-2023 181 4 . . PUNCT schriner-data-2023 182 1 zhu zhu PROPN schriner-data-2023 182 2 , , PUNCT schriner-data-2023 182 3 h. h. PROPN schriner-data-2023 182 4 , , PUNCT schriner-data-2023 182 5 & & CCONJ schriner-data-2023 182 6 lei lei PROPN schriner-data-2023 182 7 , , PUNCT schriner-data-2023 182 8 l. l. PROPN schriner-data-2023 182 9 ( ( PUNCT schriner-data-2023 182 10 2022 2022 NUM schriner-data-2023 182 11 ) ) PUNCT schriner-data-2023 182 12 . . PUNCT schriner-data-2023 183 1 a a DET schriner-data-2023 183 2 dependency dependency NOUN schriner-data-2023 183 3 - - PUNCT schriner-data-2023 183 4 based base VERB schriner-data-2023 183 5 machine machine NOUN schriner-data-2023 183 6 learning learn VERB schriner-data-2023 183 7 approach approach NOUN schriner-data-2023 183 8 to to ADP schriner-data-2023 183 9 the the DET schriner-data-2023 183 10 identification identification NOUN schriner-data-2023 183 11 of of ADP schriner-data-2023 183 12 research research NOUN schriner-data-2023 183 13 topics topic NOUN schriner-data-2023 183 14 : : PUNCT schriner-data-2023 183 15 a a DET schriner-data-2023 183 16 case case NOUN schriner-data-2023 183 17 in in ADP schriner-data-2023 183 18 covid-19 covid-19 PROPN schriner-data-2023 183 19 studies study NOUN schriner-data-2023 183 20 . . PUNCT schriner-data-2023 184 1 library library PROPN schriner-data-2023 184 2 hi hi PROPN schriner-data-2023 184 3 tech tech PROPN schriner-data-2023 184 4 , , PUNCT schriner-data-2023 184 5 40(2 40(2 NUM schriner-data-2023 184 6 ) ) PUNCT schriner-data-2023 184 7 , , PUNCT schriner-data-2023 184 8 495–515 495–515 NUM schriner-data-2023 184 9 . . PUNCT schriner-data-2023 185 1 https://doi.org/10.1108/lht-01-2021-0051 https://doi.org/10.1108/lht-01-2021-0051 ADJ schriner-data-2023 185 2 endnotes endnote NOUN schriner-data-2023 186 1 [ [ PUNCT schriner-data-2023 186 2 1 1 NUM schriner-data-2023 186 3 ] ] PUNCT schriner-data-2023 186 4 https://voyant-tools.org/ https://voyant-tools.org/ NOUN schriner-data-2023 186 5 [ [ X schriner-data-2023 186 6 2 2 NUM schriner-data-2023 186 7 ] ] X schriner-data-2023 186 8 https://www.nltk.org/ https://www.nltk.org/ NOUN schriner-data-2023 187 1 [ [ X schriner-data-2023 187 2 3 3 X schriner-data-2023 187 3 ] ] X schriner-data-2023 187 4 https://www.fon.hum.uva.nl/praat/ https://www.fon.hum.uva.nl/praat/ X schriner-data-2023 188 1 [ [ X schriner-data-2023 188 2 4 4 X schriner-data-2023 188 3 ] ] PUNCT schriner-data-2023 188 4 https://www.liwc.app/ https://www.liwc.app/ X schriner-data-2023 189 1 [ [ PUNCT schriner-data-2023 189 2 5 5 X schriner-data-2023 189 3 ] ] PUNCT schriner-data-2023 189 4 meaning mean VERB schriner-data-2023 189 5 simply simply ADV schriner-data-2023 189 6 that that SCONJ schriner-data-2023 189 7 the the DET schriner-data-2023 189 8 input input NOUN schriner-data-2023 189 9 and and CCONJ schriner-data-2023 189 10 output output NOUN schriner-data-2023 189 11 are be AUX schriner-data-2023 189 12 visible visible ADJ schriner-data-2023 189 13 but but CCONJ schriner-data-2023 189 14 the the DET schriner-data-2023 189 15 inner inner ADJ schriner-data-2023 189 16 - - PUNCT schriner-data-2023 189 17 workings working NOUN schriner-data-2023 189 18 and and CCONJ schriner-data-2023 189 19 source source NOUN schriner-data-2023 189 20 code code NOUN schriner-data-2023 189 21 are be AUX schriner-data-2023 189 22 closed close VERB schriner-data-2023 189 23 [ [ PUNCT schriner-data-2023 189 24 6 6 NUM schriner-data-2023 189 25 ] ] PUNCT schriner-data-2023 189 26 https://towardsdatascience.com/understanding-random-forest-58381e0602d2 https://towardsdatascience.com/understanding-random-forest-58381e0602d2 NOUN schriner-data-2023 190 1 [ [ X schriner-data-2023 190 2 7 7 X schriner-data-2023 190 3 ] ] PUNCT schriner-data-2023 190 4 https://data.nls.uk/ https://data.nls.uk/ PROPN schriner-data-2023 191 1 [ [ X schriner-data-2023 191 2 8 8 X schriner-data-2023 191 3 ] ] PUNCT schriner-data-2023 191 4 https://dataverse.no/dataverse/trolling https://dataverse.no/dataverse/trolling NOUN schriner-data-2023 191 5 [ [ X schriner-data-2023 191 6 9 9 NUM schriner-data-2023 191 7 ] ] PUNCT schriner-data-2023 191 8 https://www.re3data.org/ https://www.re3data.org/ X schriner-data-2023 191 9 [ [ X schriner-data-2023 191 10 10 10 NUM schriner-data-2023 191 11 ] ] PUNCT schriner-data-2023 191 12 fairseq fairseq NOUN schriner-data-2023 191 13 can can AUX schriner-data-2023 191 14 be be AUX schriner-data-2023 191 15 installed instal VERB schriner-data-2023 191 16 via via ADP schriner-data-2023 191 17 pip pip PROPN schriner-data-2023 191 18 from from ADP schriner-data-2023 191 19 https://pypi.org/project/fairseq/ https://pypi.org/project/fairseq/ PROPN schriner-data-2023 191 20 [ [ X schriner-data-2023 191 21 11 11 NUM schriner-data-2023 191 22 ] ] PUNCT schriner-data-2023 191 23 this this PRON schriner-data-2023 191 24 is be AUX schriner-data-2023 191 25 specified specify VERB schriner-data-2023 191 26 in in ADP schriner-data-2023 191 27 the the DET schriner-data-2023 191 28 preprocessing preprocessing NOUN schriner-data-2023 191 29 below below ADP schriner-data-2023 191 30 [ [ PUNCT schriner-data-2023 191 31 12 12 NUM schriner-data-2023 191 32 ] ] PUNCT schriner-data-2023 191 33 for for ADP schriner-data-2023 191 34 a a DET schriner-data-2023 191 35 fascinating fascinating ADJ schriner-data-2023 191 36 history history NOUN schriner-data-2023 191 37 of of ADP schriner-data-2023 191 38 esperanto esperanto NOUN schriner-data-2023 191 39 from from ADP schriner-data-2023 191 40 its its PRON schriner-data-2023 191 41 beginnings beginning NOUN schriner-data-2023 191 42 through through ADP schriner-data-2023 191 43 the the DET schriner-data-2023 191 44 early early ADJ schriner-data-2023 191 45 soviet soviet PROPN schriner-data-2023 191 46 union union NOUN schriner-data-2023 191 47 , , PUNCT schriner-data-2023 191 48 please please INTJ schriner-data-2023 191 49 see see VERB schriner-data-2023 191 50 brigid brigid PROPN schriner-data-2023 191 51 o’keeffe o’keeffe PROPN schriner-data-2023 191 52 ’s ’s PART schriner-data-2023 191 53 esperanto esperanto NOUN schriner-data-2023 191 54 and and CCONJ schriner-data-2023 191 55 languages language NOUN schriner-data-2023 191 56 of of ADP schriner-data-2023 191 57 internationalism internationalism NOUN schriner-data-2023 191 58 in in ADP schriner-data-2023 191 59 revolutionary revolutionary ADJ schriner-data-2023 191 60 russia russia PROPN schriner-data-2023 191 61 , , PUNCT schriner-data-2023 191 62 ‎2021 ‎2021 NUM schriner-data-2023 191 63 , , PUNCT schriner-data-2023 191 64 bloomsbury bloomsbury NOUN schriner-data-2023 191 65 academic academic ADJ schriner-data-2023 192 1 [ [ PUNCT schriner-data-2023 192 2 13 13 NUM schriner-data-2023 192 3 ] ] PUNCT schriner-data-2023 192 4 https://github.com/cuny-cl/wikipron/blob/master/data/scrape/tsv/epo_latn_narrow.tsv https://github.com/cuny-cl/wikipron/blob/master/data/scrape/tsv/epo_latn_narrow.tsv NOUN schriner-data-2023 193 1 [ [ X schriner-data-2023 193 2 14 14 NUM schriner-data-2023 193 3 ] ] PUNCT schriner-data-2023 193 4 this this DET schriner-data-2023 193 5 script script NOUN schriner-data-2023 193 6 is be AUX schriner-data-2023 193 7 agnostic agnostic ADJ schriner-data-2023 193 8 to to ADP schriner-data-2023 193 9 the the DET schriner-data-2023 193 10 data data NOUN schriner-data-2023 193 11 - - PUNCT schriner-data-2023 193 12 format format NOUN schriner-data-2023 193 13 and and CCONJ schriner-data-2023 193 14 is be AUX schriner-data-2023 193 15 written write VERB schriner-data-2023 193 16 by by ADP schriner-data-2023 193 17 kyle kyle PROPN schriner-data-2023 193 18 gorman gorman PROPN schriner-data-2023 193 19 and and CCONJ schriner-data-2023 193 20 jackson jackson PROPN schriner-data-2023 193 21 lee lee PROPN schriner-data-2023 193 22 . . PROPN schriner-data-2023 193 23     SPACE schriner-data-2023 194 1 the the DET schriner-data-2023 194 2 script script NOUN schriner-data-2023 194 3 can can AUX schriner-data-2023 194 4 be be AUX schriner-data-2023 194 5 found find VERB schriner-data-2023 194 6 here here ADV schriner-data-2023 194 7 : : PUNCT schriner-data-2023 194 8 https://github.com/cuny-cl/wikipron-modeling/blob/master/scripts/split.py https://github.com/cuny-cl/wikipron-modeling/blob/master/scripts/split.py X schriner-data-2023 194 9 [ [ X schriner-data-2023 194 10 15 15 NUM schriner-data-2023 194 11 ] ] PUNCT schriner-data-2023 194 12 intel intel PROPN schriner-data-2023 194 13 core core NOUN schriner-data-2023 194 14 i7 i7 PROPN schriner-data-2023 194 15 - - PUNCT schriner-data-2023 194 16 6700 6700 NUM schriner-data-2023 194 17 cpu cpu NOUN schriner-data-2023 194 18 @ @ ADP schriner-data-2023 194 19 3.40ghz 3.40ghz NUM schriner-data-2023 194 20 × × NOUN schriner-data-2023 194 21 8 8 NUM schriner-data-2023 194 22 with with ADP schriner-data-2023 194 23 32 32 NUM schriner-data-2023 194 24 gb gb NOUN schriner-data-2023 194 25 ram ram NOUN schriner-data-2023 194 26 [ [ PUNCT schriner-data-2023 194 27 16 16 NUM schriner-data-2023 194 28 ] ] PUNCT schriner-data-2023 194 29 for for ADP schriner-data-2023 194 30 all all DET schriner-data-2023 194 31 available available ADJ schriner-data-2023 194 32 parameters parameter NOUN schriner-data-2023 194 33 for for ADP schriner-data-2023 194 34 training training NOUN schriner-data-2023 194 35 , , PUNCT schriner-data-2023 194 36 please please INTJ schriner-data-2023 194 37 see see VERB schriner-data-2023 194 38 : : PUNCT schriner-data-2023 194 39 https://fairseq.readthedocs.io/en/latest/command_line_tools.html#fairseq-train https://fairseq.readthedocs.io/en/latest/command_line_tools.html#fairseq-train SCONJ schriner-data-2023 194 40 subscribe subscribe VERB schriner-data-2023 194 41 to to ADP schriner-data-2023 194 42 comments comment NOUN schriner-data-2023 194 43 : : PUNCT schriner-data-2023 194 44 for for ADP schriner-data-2023 194 45 this this DET schriner-data-2023 194 46 article article NOUN schriner-data-2023 194 47 | | ADP schriner-data-2023 194 48 for for SCONJ schriner-data-2023 194 49 all all DET schriner-data-2023 194 50 articles article NOUN schriner-data-2023 194 51 leave leave VERB schriner-data-2023 194 52 a a DET schriner-data-2023 194 53 reply reply NOUN schriner-data-2023 194 54 name name NOUN schriner-data-2023 194 55 ( ( PUNCT schriner-data-2023 194 56 required require VERB schriner-data-2023 194 57 ) ) PUNCT schriner-data-2023 194 58 mail mail NOUN schriner-data-2023 194 59 ( ( PUNCT schriner-data-2023 194 60 will will AUX schriner-data-2023 194 61 not not PART schriner-data-2023 194 62 be be AUX schriner-data-2023 194 63 published publish VERB schriner-data-2023 194 64 ) ) PUNCT schriner-data-2023 194 65 ( ( PUNCT schriner-data-2023 194 66 required require VERB schriner-data-2023 194 67 ) ) PUNCT schriner-data-2023 194 68 website website NOUN schriner-data-2023 194 69 δ δ PROPN schriner-data-2023 194 70 issn issn PROPN schriner-data-2023 194 71 1940 1940 NUM schriner-data-2023 194 72 - - SYM schriner-data-2023 194 73 5758 5758 NUM schriner-data-2023 194 74 current current ADJ schriner-data-2023 194 75 issue issue NOUN schriner-data-2023 194 76 issue issue NOUN schriner-data-2023 194 77 55 55 NUM schriner-data-2023 194 78 , , PUNCT schriner-data-2023 194 79 2023 2023 NUM schriner-data-2023 194 80 - - SYM schriner-data-2023 194 81 1 1 NUM schriner-data-2023 194 82 - - SYM schriner-data-2023 194 83 20 20 NUM schriner-data-2023 194 84 previous previous ADJ schriner-data-2023 194 85 issues issue NOUN schriner-data-2023 194 86 issue issue VERB schriner-data-2023 194 87 54 54 NUM schriner-data-2023 194 88 , , PUNCT schriner-data-2023 194 89 2022 2022 NUM schriner-data-2023 194 90 - - SYM schriner-data-2023 194 91 08 08 NUM schriner-data-2023 194 92 - - SYM schriner-data-2023 194 93 29 29 NUM schriner-data-2023 194 94 issue issue NOUN schriner-data-2023 194 95 53 53 NUM schriner-data-2023 194 96 , , PUNCT schriner-data-2023 194 97 2022 2022 NUM schriner-data-2023 194 98 - - SYM schriner-data-2023 194 99 05 05 NUM schriner-data-2023 194 100 - - SYM schriner-data-2023 194 101 09 09 NUM schriner-data-2023 194 102 issue issue NOUN schriner-data-2023 194 103 52 52 NUM schriner-data-2023 194 104 , , PUNCT schriner-data-2023 194 105 2021 2021 NUM schriner-data-2023 194 106 - - SYM schriner-data-2023 194 107 09 09 NUM schriner-data-2023 194 108 - - PUNCT schriner-data-2023 194 109 22 22 NUM schriner-data-2023 194 110 issue issue NOUN schriner-data-2023 194 111 51 51 NUM schriner-data-2023 194 112 , , PUNCT schriner-data-2023 194 113 2021 2021 NUM schriner-data-2023 194 114 - - SYM schriner-data-2023 194 115 06 06 NUM schriner-data-2023 194 116 - - SYM schriner-data-2023 194 117 14 14 NUM schriner-data-2023 194 118 older old ADJ schriner-data-2023 194 119 issues issue NOUN schriner-data-2023 194 120 for for SCONJ schriner-data-2023 194 121 authors author NOUN schriner-data-2023 194 122 call call VERB schriner-data-2023 194 123 for for SCONJ schriner-data-2023 194 124 submissions submission NOUN schriner-data-2023 194 125 article article NOUN schriner-data-2023 194 126 guidelines guideline NOUN schriner-data-2023 194 127 log log VERB schriner-data-2023 194 128 in in ADP schriner-data-2023 194 129 this this DET schriner-data-2023 194 130 work work NOUN schriner-data-2023 194 131 is be AUX schriner-data-2023 194 132 licensed license VERB schriner-data-2023 194 133 under under ADP schriner-data-2023 194 134 a a DET schriner-data-2023 194 135 creative creative ADJ schriner-data-2023 194 136 commons common NOUN schriner-data-2023 194 137 attribution attribution NOUN schriner-data-2023 194 138 3.0 3.0 NUM schriner-data-2023 194 139 united united PROPN schriner-data-2023 194 140 states states PROPN schriner-data-2023 194 141 license license PROPN schriner-data-2023 194 142 . . PUNCT