id	sid	tid	token	lemma	pos
5q47rn31x8v	1	1	ldpc	ldpc	PROPN
5q47rn31x8v	1	2	convolutional	convolutional	ADJ
5q47rn31x8v	1	3	codes	code	NOUN
5q47rn31x8v	1	4	have	have	AUX
5q47rn31x8v	1	5	been	be	AUX
5q47rn31x8v	1	6	shown	show	VERB
5q47rn31x8v	1	7	to	to	PART
5q47rn31x8v	1	8	be	be	AUX
5q47rn31x8v	1	9	capable	capable	ADJ
5q47rn31x8v	1	10	of	of	ADP
5q47rn31x8v	1	11	achieving	achieve	VERB
5q47rn31x8v	1	12	the	the	DET
5q47rn31x8v	1	13	same	same	ADJ
5q47rn31x8v	1	14	capacity	capacity	NOUN
5q47rn31x8v	1	15	-	-	PUNCT
5q47rn31x8v	1	16	approaching	approach	VERB
5q47rn31x8v	1	17	performance	performance	NOUN
5q47rn31x8v	1	18	as	as	ADP
5q47rn31x8v	1	19	ldpc	ldpc	NOUN
5q47rn31x8v	1	20	block	block	NOUN
5q47rn31x8v	1	21	codes	code	NOUN
5q47rn31x8v	1	22	with	with	ADP
5q47rn31x8v	1	23	iterative	iterative	ADJ
5q47rn31x8v	1	24	message	message	NOUN
5q47rn31x8v	1	25	passing	pass	VERB
5q47rn31x8v	1	26	decoding	decoding	NOUN
5q47rn31x8v	1	27	.	.	PUNCT
5q47rn31x8v	2	1	in	in	ADP
5q47rn31x8v	2	2	this	this	DET
5q47rn31x8v	2	3	dissertation	dissertation	NOUN
5q47rn31x8v	2	4	,	,	PUNCT
5q47rn31x8v	2	5	we	we	PRON
5q47rn31x8v	2	6	present	present	VERB
5q47rn31x8v	2	7	several	several	ADJ
5q47rn31x8v	2	8	methods	method	NOUN
5q47rn31x8v	2	9	of	of	ADP
5q47rn31x8v	2	10	deriving	derive	VERB
5q47rn31x8v	2	11	families	family	NOUN
5q47rn31x8v	2	12	of	of	ADP
5q47rn31x8v	2	13	time	time	NOUN
5q47rn31x8v	2	14	-	-	PUNCT
5q47rn31x8v	2	15	varying	vary	VERB
5q47rn31x8v	2	16	and	and	CCONJ
5q47rn31x8v	2	17	time	time	NOUN
5q47rn31x8v	2	18	-	-	PUNCT
5q47rn31x8v	2	19	invariant	invariant	ADJ
5q47rn31x8v	2	20	ldpc	ldpc	NOUN
5q47rn31x8v	2	21	convolutional	convolutional	ADJ
5q47rn31x8v	2	22	codes	code	NOUN
5q47rn31x8v	2	23	from	from	ADP
5q47rn31x8v	2	24	ldpc	ldpc	PROPN
5q47rn31x8v	2	25	block	block	NOUN
5q47rn31x8v	2	26	codes	code	NOUN
5q47rn31x8v	2	27	.	.	PUNCT
5q47rn31x8v	3	1	we	we	PRON
5q47rn31x8v	3	2	demonstrate	demonstrate	VERB
5q47rn31x8v	3	3	that	that	SCONJ
5q47rn31x8v	3	4	the	the	DET
5q47rn31x8v	3	5	derived	derive	VERB
5q47rn31x8v	3	6	ldpc	ldpc	NOUN
5q47rn31x8v	3	7	convolutional	convolutional	ADJ
5q47rn31x8v	3	8	codes	code	NOUN
5q47rn31x8v	3	9	significantly	significantly	ADV
5q47rn31x8v	3	10	outperform	outperform	VERB
5q47rn31x8v	3	11	the	the	DET
5q47rn31x8v	3	12	underlying	underlie	VERB
5q47rn31x8v	3	13	ldpc	ldpc	NOUN
5q47rn31x8v	3	14	block	block	NOUN
5q47rn31x8v	3	15	codes	code	NOUN
5q47rn31x8v	3	16	,	,	PUNCT
5q47rn31x8v	3	17	and	and	CCONJ
5q47rn31x8v	3	18	we	we	PRON
5q47rn31x8v	3	19	investigate	investigate	VERB
5q47rn31x8v	3	20	the	the	DET
5q47rn31x8v	3	21	reasons	reason	NOUN
5q47rn31x8v	3	22	for	for	ADP
5q47rn31x8v	3	23	these	these	DET
5q47rn31x8v	3	24	'	'	PUNCT
5q47rn31x8v	3	25	convolutional	convolutional	ADJ
5q47rn31x8v	3	26	gains	gain	NOUN
5q47rn31x8v	3	27	'	'	PUNCT
5q47rn31x8v	3	28	.	.	PUNCT
5q47rn31x8v	4	1	it	it	PRON
5q47rn31x8v	4	2	is	be	AUX
5q47rn31x8v	4	3	well	well	ADV
5q47rn31x8v	4	4	known	know	VERB
5q47rn31x8v	4	5	that	that	SCONJ
5q47rn31x8v	4	6	cycles	cycle	NOUN
5q47rn31x8v	4	7	in	in	ADP
5q47rn31x8v	4	8	the	the	DET
5q47rn31x8v	4	9	tanner	tanner	NOUN
5q47rn31x8v	4	10	graph	graph	NOUN
5q47rn31x8v	4	11	representation	representation	NOUN
5q47rn31x8v	4	12	of	of	ADP
5q47rn31x8v	4	13	a	a	DET
5q47rn31x8v	4	14	sparse	sparse	ADJ
5q47rn31x8v	4	15	code	code	NOUN
5q47rn31x8v	4	16	affect	affect	VERB
5q47rn31x8v	4	17	the	the	DET
5q47rn31x8v	4	18	iterative	iterative	ADJ
5q47rn31x8v	4	19	decoding	decode	VERB
5q47rn31x8v	4	20	algorithm	algorithm	PROPN
5q47rn31x8v	4	21	,	,	PUNCT
5q47rn31x8v	4	22	with	with	ADP
5q47rn31x8v	4	23	short	short	ADJ
5q47rn31x8v	4	24	cycles	cycle	NOUN
5q47rn31x8v	4	25	generally	generally	ADV
5q47rn31x8v	4	26	pushing	push	VERB
5q47rn31x8v	4	27	its	its	PRON
5q47rn31x8v	4	28	performance	performance	NOUN
5q47rn31x8v	4	29	further	far	ADV
5q47rn31x8v	4	30	away	away	ADV
5q47rn31x8v	4	31	from	from	ADP
5q47rn31x8v	4	32	optimum	optimum	ADJ
5q47rn31x8v	4	33	.	.	PUNCT
5q47rn31x8v	5	1	hence	hence	ADV
5q47rn31x8v	5	2	it	it	PRON
5q47rn31x8v	5	3	is	be	AUX
5q47rn31x8v	5	4	common	common	ADJ
5q47rn31x8v	5	5	practice	practice	NOUN
5q47rn31x8v	5	6	to	to	ADP
5q47rn31x8v	5	7	design	design	NOUN
5q47rn31x8v	5	8	codes	code	NOUN
5q47rn31x8v	5	9	that	that	PRON
5q47rn31x8v	5	10	do	do	AUX
5q47rn31x8v	5	11	not	not	PART
5q47rn31x8v	5	12	contain	contain	VERB
5q47rn31x8v	5	13	short	short	ADJ
5q47rn31x8v	5	14	cycles	cycle	NOUN
5q47rn31x8v	5	15	,	,	PUNCT
5q47rn31x8v	5	16	so	so	SCONJ
5q47rn31x8v	5	17	as	as	SCONJ
5q47rn31x8v	5	18	to	to	PART
5q47rn31x8v	5	19	obtain	obtain	VERB
5q47rn31x8v	5	20	independent	independent	ADJ
5q47rn31x8v	5	21	messages	message	NOUN
5q47rn31x8v	5	22	in	in	ADP
5q47rn31x8v	5	23	at	at	ADP
5q47rn31x8v	5	24	least	least	ADJ
5q47rn31x8v	5	25	the	the	DET
5q47rn31x8v	5	26	initial	initial	ADJ
5q47rn31x8v	5	27	iterations	iteration	NOUN
5q47rn31x8v	5	28	of	of	ADP
5q47rn31x8v	5	29	the	the	DET
5q47rn31x8v	5	30	decoding	decode	VERB
5q47rn31x8v	5	31	process	process	NOUN
5q47rn31x8v	5	32	.	.	PUNCT
5q47rn31x8v	6	1	we	we	PRON
5q47rn31x8v	6	2	show	show	VERB
5q47rn31x8v	6	3	that	that	SCONJ
5q47rn31x8v	6	4	the	the	DET
5q47rn31x8v	6	5	derived	derived	ADJ
5q47rn31x8v	6	6	ldpc	ldpc	NOUN
5q47rn31x8v	6	7	convolutional	convolutional	ADJ
5q47rn31x8v	6	8	codes	code	NOUN
5q47rn31x8v	6	9	have	have	VERB
5q47rn31x8v	6	10	better	well	ADJ
5q47rn31x8v	6	11	graph	graph	NOUN
5q47rn31x8v	6	12	-	-	PUNCT
5q47rn31x8v	6	13	cycle	cycle	NOUN
5q47rn31x8v	6	14	properties	property	NOUN
5q47rn31x8v	6	15	than	than	ADP
5q47rn31x8v	6	16	their	their	PRON
5q47rn31x8v	6	17	block	block	NOUN
5q47rn31x8v	6	18	code	code	NOUN
5q47rn31x8v	6	19	counterparts	counterpart	NOUN
5q47rn31x8v	6	20	.	.	PUNCT
5q47rn31x8v	7	1	in	in	ADP
5q47rn31x8v	7	2	particular	particular	ADJ
5q47rn31x8v	7	3	,	,	PUNCT
5q47rn31x8v	7	4	we	we	PRON
5q47rn31x8v	7	5	show	show	VERB
5q47rn31x8v	7	6	that	that	SCONJ
5q47rn31x8v	7	7	the	the	DET
5q47rn31x8v	7	8	unwrapping	unwrap	VERB
5q47rn31x8v	7	9	process	process	NOUN
5q47rn31x8v	7	10	that	that	PRON
5q47rn31x8v	7	11	is	be	AUX
5q47rn31x8v	7	12	used	use	VERB
5q47rn31x8v	7	13	to	to	PART
5q47rn31x8v	7	14	derive	derive	VERB
5q47rn31x8v	7	15	ldpc	ldpc	NOUN
5q47rn31x8v	7	16	convolutional	convolutional	ADJ
5q47rn31x8v	7	17	codes	code	NOUN
5q47rn31x8v	7	18	from	from	ADP
5q47rn31x8v	7	19	ldpc	ldpc	PROPN
5q47rn31x8v	7	20	block	block	NOUN
5q47rn31x8v	7	21	codes	code	NOUN
5q47rn31x8v	7	22	can	can	AUX
5q47rn31x8v	7	23	'	'	PUNCT
5q47rn31x8v	7	24	break	break	VERB
5q47rn31x8v	7	25	'	'	PUNCT
5q47rn31x8v	7	26	some	some	DET
5q47rn31x8v	7	27	cycles	cycle	NOUN
5q47rn31x8v	7	28	of	of	ADP
5q47rn31x8v	7	29	the	the	DET
5q47rn31x8v	7	30	underlying	underlie	VERB
5q47rn31x8v	7	31	ldpc	ldpc	PROPN
5q47rn31x8v	7	32	block	block	NOUN
5q47rn31x8v	7	33	code	code	NOUN
5q47rn31x8v	7	34	,	,	PUNCT
5q47rn31x8v	7	35	but	but	CCONJ
5q47rn31x8v	7	36	can	can	AUX
5q47rn31x8v	7	37	not	not	PART
5q47rn31x8v	7	38	create	create	VERB
5q47rn31x8v	7	39	any	any	DET
5q47rn31x8v	7	40	shorter	short	ADJ
5q47rn31x8v	7	41	cycles	cycle	NOUN
5q47rn31x8v	7	42	.	.	PUNCT
5q47rn31x8v	8	1	we	we	PRON
5q47rn31x8v	8	2	prove	prove	VERB
5q47rn31x8v	8	3	that	that	SCONJ
5q47rn31x8v	8	4	any	any	DET
5q47rn31x8v	8	5	cycle	cycle	NOUN
5q47rn31x8v	8	6	in	in	ADP
5q47rn31x8v	8	7	an	an	DET
5q47rn31x8v	8	8	ldpc	ldpc	PROPN
5q47rn31x8v	8	9	convolutional	convolutional	ADJ
5q47rn31x8v	8	10	code	code	NOUN
5q47rn31x8v	8	11	always	always	ADV
5q47rn31x8v	8	12	maps	map	VERB
5q47rn31x8v	8	13	to	to	ADP
5q47rn31x8v	8	14	a	a	DET
5q47rn31x8v	8	15	cycle	cycle	NOUN
5q47rn31x8v	8	16	of	of	ADP
5q47rn31x8v	8	17	the	the	DET
5q47rn31x8v	8	18	same	same	ADJ
5q47rn31x8v	8	19	or	or	CCONJ
5q47rn31x8v	8	20	smaller	small	ADJ
5q47rn31x8v	8	21	length	length	NOUN
5q47rn31x8v	8	22	in	in	ADP
5q47rn31x8v	8	23	the	the	DET
5q47rn31x8v	8	24	underlying	underlie	VERB
5q47rn31x8v	8	25	ldpc	ldpc	PROPN
5q47rn31x8v	8	26	block	block	PROPN
5q47rn31x8v	8	27	code	code	PROPN
5q47rn31x8v	8	28	.	.	PUNCT
5q47rn31x8v	9	1	minimum	minimum	ADJ
5q47rn31x8v	9	2	distance	distance	NOUN
5q47rn31x8v	9	3	is	be	AUX
5q47rn31x8v	9	4	an	an	DET
5q47rn31x8v	9	5	important	important	ADJ
5q47rn31x8v	9	6	code	code	NOUN
5q47rn31x8v	9	7	design	design	NOUN
5q47rn31x8v	9	8	parameter	parameter	NOUN
5q47rn31x8v	9	9	when	when	SCONJ
5q47rn31x8v	9	10	the	the	DET
5q47rn31x8v	9	11	channel	channel	NOUN
5q47rn31x8v	9	12	quality	quality	NOUN
5q47rn31x8v	9	13	is	be	AUX
5q47rn31x8v	9	14	high	high	ADJ
5q47rn31x8v	9	15	,	,	PUNCT
5q47rn31x8v	9	16	since	since	SCONJ
5q47rn31x8v	9	17	codewords	codeword	NOUN
5q47rn31x8v	9	18	that	that	PRON
5q47rn31x8v	9	19	are	be	AUX
5q47rn31x8v	9	20	minimum	minimum	ADJ
5q47rn31x8v	9	21	distance	distance	NOUN
5q47rn31x8v	9	22	apart	apart	ADV
5q47rn31x8v	9	23	are	be	AUX
5q47rn31x8v	9	24	the	the	DET
5q47rn31x8v	9	25	most	most	ADV
5q47rn31x8v	9	26	likely	likely	ADJ
5q47rn31x8v	9	27	to	to	PART
5q47rn31x8v	9	28	cause	cause	VERB
5q47rn31x8v	9	29	errors	error	NOUN
5q47rn31x8v	9	30	with	with	ADP
5q47rn31x8v	9	31	ml	ml	NOUN
5q47rn31x8v	9	32	or	or	CCONJ
5q47rn31x8v	9	33	near	near	ADJ
5q47rn31x8v	9	34	-	-	PUNCT
5q47rn31x8v	9	35	ml	ml	NOUN
5q47rn31x8v	9	36	decoding	decoding	NOUN
5q47rn31x8v	9	37	.	.	PUNCT
5q47rn31x8v	10	1	in	in	ADP
5q47rn31x8v	10	2	this	this	DET
5q47rn31x8v	10	3	case	case	NOUN
5q47rn31x8v	10	4	,	,	PUNCT
5q47rn31x8v	10	5	the	the	DET
5q47rn31x8v	10	6	minimum	minimum	ADJ
5q47rn31x8v	10	7	distance	distance	NOUN
5q47rn31x8v	10	8	determines	determine	VERB
5q47rn31x8v	10	9	the	the	DET
5q47rn31x8v	10	10	so	so	ADV
5q47rn31x8v	10	11	-	-	PUNCT
5q47rn31x8v	10	12	called	call	VERB
5q47rn31x8v	10	13	error	error	NOUN
5q47rn31x8v	10	14	floor	floor	NOUN
5q47rn31x8v	10	15	behavior	behavior	NOUN
5q47rn31x8v	10	16	in	in	ADP
5q47rn31x8v	10	17	the	the	DET
5q47rn31x8v	10	18	performance	performance	NOUN
5q47rn31x8v	10	19	curve	curve	NOUN
5q47rn31x8v	10	20	corresponding	correspond	VERB
5q47rn31x8v	10	21	to	to	ADP
5q47rn31x8v	10	22	high	high	ADJ
5q47rn31x8v	10	23	channel	channel	NOUN
5q47rn31x8v	10	24	signal	signal	NOUN
5q47rn31x8v	10	25	-	-	PUNCT
5q47rn31x8v	10	26	to	to	ADP
5q47rn31x8v	10	27	-	-	PUNCT
5q47rn31x8v	10	28	noise	noise	NOUN
5q47rn31x8v	10	29	ratios	ratio	NOUN
5q47rn31x8v	10	30	.	.	PUNCT
5q47rn31x8v	11	1	thus	thus	ADV
5q47rn31x8v	11	2	studying	study	VERB
5q47rn31x8v	11	3	the	the	DET
5q47rn31x8v	11	4	minimum	minimum	ADJ
5q47rn31x8v	11	5	distance	distance	NOUN
5q47rn31x8v	11	6	properties	property	NOUN
5q47rn31x8v	11	7	of	of	ADP
5q47rn31x8v	11	8	a	a	DET
5q47rn31x8v	11	9	code	code	NOUN
5q47rn31x8v	11	10	family	family	NOUN
5q47rn31x8v	11	11	gives	give	VERB
5q47rn31x8v	11	12	insight	insight	NOUN
5q47rn31x8v	11	13	into	into	ADP
5q47rn31x8v	11	14	its	its	PRON
5q47rn31x8v	11	15	error	error	NOUN
5q47rn31x8v	11	16	floor	floor	NOUN
5q47rn31x8v	11	17	behavior	behavior	NOUN
5q47rn31x8v	11	18	.	.	PUNCT
5q47rn31x8v	12	1	we	we	PRON
5q47rn31x8v	12	2	use	use	VERB
5q47rn31x8v	12	3	asymptotic	asymptotic	ADJ
5q47rn31x8v	12	4	methods	method	NOUN
5q47rn31x8v	12	5	to	to	PART
5q47rn31x8v	12	6	calculate	calculate	VERB
5q47rn31x8v	12	7	a	a	DET
5q47rn31x8v	12	8	lower	lower	ADV
5q47rn31x8v	12	9	bound	bind	VERB
5q47rn31x8v	12	10	on	on	ADP
5q47rn31x8v	12	11	the	the	DET
5q47rn31x8v	12	12	free	free	ADJ
5q47rn31x8v	12	13	distance	distance	NOUN
5q47rn31x8v	12	14	of	of	ADP
5q47rn31x8v	12	15	several	several	ADJ
5q47rn31x8v	12	16	ensembles	ensemble	NOUN
5q47rn31x8v	12	17	of	of	ADP
5q47rn31x8v	12	18	asymptotically	asymptotically	ADV
5q47rn31x8v	12	19	good	good	ADJ
5q47rn31x8v	12	20	ldpc	ldpc	NOUN
5q47rn31x8v	12	21	convolutional	convolutional	ADJ
5q47rn31x8v	12	22	codes	code	NOUN
5q47rn31x8v	12	23	derived	derive	VERB
5q47rn31x8v	12	24	from	from	ADP
5q47rn31x8v	12	25	protograph	protograph	NOUN
5q47rn31x8v	12	26	-	-	PUNCT
5q47rn31x8v	12	27	based	base	VERB
5q47rn31x8v	12	28	ldpc	ldpc	PROPN
5q47rn31x8v	12	29	block	block	NOUN
5q47rn31x8v	12	30	codes	code	NOUN
5q47rn31x8v	12	31	.	.	PUNCT
5q47rn31x8v	13	1	further	far	ADV
5q47rn31x8v	13	2	,	,	PUNCT
5q47rn31x8v	13	3	we	we	PRON
5q47rn31x8v	13	4	show	show	VERB
5q47rn31x8v	13	5	that	that	SCONJ
5q47rn31x8v	13	6	the	the	DET
5q47rn31x8v	13	7	free	free	ADJ
5q47rn31x8v	13	8	distance	distance	NOUN
5q47rn31x8v	13	9	to	to	PART
5q47rn31x8v	13	10	constraint	constraint	VERB
5q47rn31x8v	13	11	length	length	NOUN
5q47rn31x8v	13	12	ratio	ratio	NOUN
5q47rn31x8v	13	13	of	of	ADP
5q47rn31x8v	13	14	the	the	DET
5q47rn31x8v	13	15	ldpc	ldpc	PROPN
5q47rn31x8v	13	16	convolutional	convolutional	ADJ
5q47rn31x8v	13	17	codes	code	NOUN
5q47rn31x8v	13	18	exceeds	exceed	VERB
5q47rn31x8v	13	19	the	the	DET
5q47rn31x8v	13	20	minimum	minimum	ADJ
5q47rn31x8v	13	21	distance	distance	NOUN
5q47rn31x8v	13	22	to	to	PART
5q47rn31x8v	13	23	block	block	VERB
5q47rn31x8v	13	24	length	length	NOUN
5q47rn31x8v	13	25	ratio	ratio	NOUN
5q47rn31x8v	13	26	of	of	ADP
5q47rn31x8v	13	27	the	the	DET
5q47rn31x8v	13	28	corresponding	correspond	VERB
5q47rn31x8v	13	29	ldpc	ldpc	NOUN
5q47rn31x8v	13	30	block	block	NOUN
5q47rn31x8v	13	31	codes	code	NOUN
5q47rn31x8v	13	32	.	.	PUNCT
5q47rn31x8v	14	1	message	message	NOUN
5q47rn31x8v	14	2	-	-	PUNCT
5q47rn31x8v	14	3	passing	pass	VERB
5q47rn31x8v	14	4	iterative	iterative	ADJ
5q47rn31x8v	14	5	decoders	decoder	NOUN
5q47rn31x8v	14	6	for	for	ADP
5q47rn31x8v	14	7	ldpc	ldpc	NOUN
5q47rn31x8v	14	8	block	block	NOUN
5q47rn31x8v	14	9	codes	code	NOUN
5q47rn31x8v	14	10	are	be	AUX
5q47rn31x8v	14	11	known	know	VERB
5q47rn31x8v	14	12	to	to	PART
5q47rn31x8v	14	13	be	be	AUX
5q47rn31x8v	14	14	subject	subject	ADJ
5q47rn31x8v	14	15	to	to	ADP
5q47rn31x8v	14	16	decoding	decode	VERB
5q47rn31x8v	14	17	failures	failure	NOUN
5q47rn31x8v	14	18	due	due	ADJ
5q47rn31x8v	14	19	to	to	ADP
5q47rn31x8v	14	20	so	so	ADV
5q47rn31x8v	14	21	-	-	PUNCT
5q47rn31x8v	14	22	called	call	VERB
5q47rn31x8v	14	23	pseudo	pseudo	NOUN
5q47rn31x8v	14	24	-	-	NOUN
5q47rn31x8v	14	25	codewords	codeword	NOUN
5q47rn31x8v	14	26	.	.	PUNCT
5q47rn31x8v	15	1	these	these	DET
5q47rn31x8v	15	2	failures	failure	NOUN
5q47rn31x8v	15	3	can	can	AUX
5q47rn31x8v	15	4	cause	cause	VERB
5q47rn31x8v	15	5	the	the	DET
5q47rn31x8v	15	6	large	large	ADJ
5q47rn31x8v	15	7	signal	signal	NOUN
5q47rn31x8v	15	8	-	-	PUNCT
5q47rn31x8v	15	9	to	to	ADP
5q47rn31x8v	15	10	-	-	PUNCT
5q47rn31x8v	15	11	noise	noise	NOUN
5q47rn31x8v	15	12	ratio	ratio	NOUN
5q47rn31x8v	15	13	performance	performance	NOUN
5q47rn31x8v	15	14	of	of	ADP
5q47rn31x8v	15	15	message	message	NOUN
5q47rn31x8v	15	16	-	-	PUNCT
5q47rn31x8v	15	17	passing	pass	VERB
5q47rn31x8v	15	18	iterative	iterative	ADJ
5q47rn31x8v	15	19	decoding	decoding	NOUN
5q47rn31x8v	15	20	to	to	PART
5q47rn31x8v	15	21	be	be	AUX
5q47rn31x8v	15	22	worse	bad	ADJ
5q47rn31x8v	15	23	than	than	SCONJ
5q47rn31x8v	15	24	that	that	PRON
5q47rn31x8v	15	25	predicted	predict	VERB
5q47rn31x8v	15	26	by	by	ADP
5q47rn31x8v	15	27	the	the	DET
5q47rn31x8v	15	28	maximum	maximum	ADJ
5q47rn31x8v	15	29	-	-	PUNCT
5q47rn31x8v	15	30	likelihood	likelihood	NOUN
5q47rn31x8v	15	31	decoding	decode	VERB
5q47rn31x8v	15	32	union	union	NOUN
5q47rn31x8v	15	33	bound	bind	VERB
5q47rn31x8v	15	34	.	.	PUNCT
5q47rn31x8v	16	1	we	we	PRON
5q47rn31x8v	16	2	address	address	VERB
5q47rn31x8v	16	3	the	the	DET
5q47rn31x8v	16	4	pseudo	pseudo	NOUN
5q47rn31x8v	16	5	-	-	ADJ
5q47rn31x8v	16	6	codeword	codeword	ADJ
5q47rn31x8v	16	7	problem	problem	NOUN
5q47rn31x8v	16	8	from	from	ADP
5q47rn31x8v	16	9	the	the	DET
5q47rn31x8v	16	10	convolutional	convolutional	ADJ
5q47rn31x8v	16	11	code	code	NOUN
5q47rn31x8v	16	12	perspective	perspective	NOUN
5q47rn31x8v	16	13	.	.	PUNCT
5q47rn31x8v	17	1	in	in	ADP
5q47rn31x8v	17	2	particular	particular	ADJ
5q47rn31x8v	17	3	,	,	PUNCT
5q47rn31x8v	17	4	we	we	PRON
5q47rn31x8v	17	5	show	show	VERB
5q47rn31x8v	17	6	that	that	SCONJ
5q47rn31x8v	17	7	the	the	DET
5q47rn31x8v	17	8	minimum	minimum	ADJ
5q47rn31x8v	17	9	pseudo	pseudo	NOUN
5q47rn31x8v	17	10	-	-	NOUN
5q47rn31x8v	17	11	weight	weight	NOUN
5q47rn31x8v	17	12	of	of	ADP
5q47rn31x8v	17	13	an	an	DET
5q47rn31x8v	17	14	ldpc	ldpc	PROPN
5q47rn31x8v	17	15	convolutional	convolutional	ADJ
5q47rn31x8v	17	16	code	code	NOUN
5q47rn31x8v	17	17	is	be	AUX
5q47rn31x8v	17	18	at	at	ADV
5q47rn31x8v	17	19	least	least	ADJ
5q47rn31x8v	17	20	as	as	ADV
5q47rn31x8v	17	21	large	large	ADJ
5q47rn31x8v	17	22	as	as	ADP
5q47rn31x8v	17	23	the	the	DET
5q47rn31x8v	17	24	minimum	minimum	ADJ
5q47rn31x8v	17	25	pseudo	pseudo	NOUN
5q47rn31x8v	17	26	-	-	NOUN
5q47rn31x8v	17	27	weight	weight	NOUN
5q47rn31x8v	17	28	of	of	ADP
5q47rn31x8v	17	29	an	an	DET
5q47rn31x8v	17	30	underlying	underlie	VERB
5q47rn31x8v	17	31	ldpc	ldpc	NOUN
5q47rn31x8v	17	32	block	block	NOUN
5q47rn31x8v	17	33	code	code	PROPN
5q47rn31x8v	17	34	.	.	PUNCT
5q47rn31x8v	18	1	this	this	DET
5q47rn31x8v	18	2	result	result	NOUN
5q47rn31x8v	18	3	,	,	PUNCT
5q47rn31x8v	18	4	which	which	PRON
5q47rn31x8v	18	5	parallels	parallel	VERB
5q47rn31x8v	18	6	a	a	DET
5q47rn31x8v	18	7	well	well	ADV
5q47rn31x8v	18	8	-	-	PUNCT
5q47rn31x8v	18	9	known	know	VERB
5q47rn31x8v	18	10	relationship	relationship	NOUN
5q47rn31x8v	18	11	between	between	ADP
5q47rn31x8v	18	12	the	the	DET
5q47rn31x8v	18	13	minimum	minimum	ADJ
5q47rn31x8v	18	14	hamming	hamming	ADJ
5q47rn31x8v	18	15	weight	weight	NOUN
5q47rn31x8v	18	16	of	of	ADP
5q47rn31x8v	18	17	convolutional	convolutional	ADJ
5q47rn31x8v	18	18	codes	code	NOUN
5q47rn31x8v	18	19	and	and	CCONJ
5q47rn31x8v	18	20	the	the	DET
5q47rn31x8v	18	21	minimum	minimum	ADJ
5q47rn31x8v	18	22	hamming	hamming	ADJ
5q47rn31x8v	18	23	weight	weight	NOUN
5q47rn31x8v	18	24	of	of	ADP
5q47rn31x8v	18	25	their	their	PRON
5q47rn31x8v	18	26	quasi	quasi	ADJ
5q47rn31x8v	18	27	-	-	ADJ
5q47rn31x8v	18	28	cyclic	cyclic	ADJ
5q47rn31x8v	18	29	counterparts	counterpart	NOUN
5q47rn31x8v	18	30	,	,	PUNCT
5q47rn31x8v	18	31	is	be	AUX
5q47rn31x8v	18	32	due	due	ADJ
5q47rn31x8v	18	33	to	to	ADP
5q47rn31x8v	18	34	the	the	DET
5q47rn31x8v	18	35	fact	fact	NOUN
5q47rn31x8v	18	36	that	that	SCONJ
5q47rn31x8v	18	37	every	every	DET
5q47rn31x8v	18	38	pseudo	pseudo	NOUN
5q47rn31x8v	18	39	-	-	NOUN
5q47rn31x8v	18	40	codeword	codeword	NOUN
5q47rn31x8v	18	41	in	in	ADP
5q47rn31x8v	18	42	the	the	DET
5q47rn31x8v	18	43	ldpc	ldpc	PROPN
5q47rn31x8v	18	44	convolutional	convolutional	PROPN
5q47rn31x8v	18	45	code	code	NOUN
5q47rn31x8v	18	46	induces	induce	VERB
5q47rn31x8v	18	47	a	a	DET
5q47rn31x8v	18	48	pseudo	pseudo	NOUN
5q47rn31x8v	18	49	-	-	NOUN
5q47rn31x8v	18	50	codeword	codeword	NOUN
5q47rn31x8v	18	51	in	in	ADP
5q47rn31x8v	18	52	the	the	DET
5q47rn31x8v	18	53	ldpc	ldpc	PROPN
5q47rn31x8v	18	54	block	block	PROPN
5q47rn31x8v	18	55	code	code	NOUN
5q47rn31x8v	18	56	with	with	ADP
5q47rn31x8v	18	57	pseudo	pseudo	NOUN
5q47rn31x8v	18	58	-	-	NOUN
5q47rn31x8v	18	59	weight	weight	NOUN
5q47rn31x8v	18	60	no	no	ADV
5q47rn31x8v	18	61	larger	large	ADJ
5q47rn31x8v	18	62	than	than	ADP
5q47rn31x8v	18	63	that	that	PRON
5q47rn31x8v	18	64	of	of	ADP
5q47rn31x8v	18	65	the	the	DET
5q47rn31x8v	18	66	convolutional	convolutional	ADJ
5q47rn31x8v	18	67	pseudo	pseudo	NOUN
5q47rn31x8v	18	68	-	-	NOUN
5q47rn31x8v	18	69	codeword	codeword	NOUN
5q47rn31x8v	18	70	.	.	PUNCT
5q47rn31x8v	19	1	more	more	ADV
5q47rn31x8v	19	2	generally	generally	ADV
5q47rn31x8v	19	3	,	,	PUNCT
5q47rn31x8v	19	4	we	we	PRON
5q47rn31x8v	19	5	demonstrate	demonstrate	VERB
5q47rn31x8v	19	6	a	a	DET
5q47rn31x8v	19	7	difference	difference	NOUN
5q47rn31x8v	19	8	in	in	ADP
5q47rn31x8v	19	9	the	the	DET
5q47rn31x8v	19	10	weight	weight	NOUN
5q47rn31x8v	19	11	spectra	spectra	NOUN
5q47rn31x8v	19	12	of	of	ADP
5q47rn31x8v	19	13	ldpc	ldpc	NOUN
5q47rn31x8v	19	14	block	block	NOUN
5q47rn31x8v	19	15	and	and	CCONJ
5q47rn31x8v	19	16	convolutional	convolutional	ADJ
5q47rn31x8v	19	17	codes	code	NOUN
5q47rn31x8v	19	18	that	that	PRON
5q47rn31x8v	19	19	leads	lead	VERB
5q47rn31x8v	19	20	to	to	ADP
5q47rn31x8v	19	21	improved	improve	VERB
5q47rn31x8v	19	22	performance	performance	NOUN
5q47rn31x8v	19	23	at	at	ADP
5q47rn31x8v	19	24	low	low	ADJ
5q47rn31x8v	19	25	-	-	PUNCT
5q47rn31x8v	19	26	to	to	ADP
5q47rn31x8v	19	27	-	-	PUNCT
5q47rn31x8v	19	28	moderate	moderate	ADJ
5q47rn31x8v	19	29	signal	signal	NOUN
5q47rn31x8v	19	30	-	-	PUNCT
5q47rn31x8v	19	31	to	to	ADP
5q47rn31x8v	19	32	-	-	PUNCT
5q47rn31x8v	19	33	noise	noise	NOUN
5q47rn31x8v	19	34	ratios	ratio	NOUN
5q47rn31x8v	19	35	for	for	ADP
5q47rn31x8v	19	36	the	the	DET
5q47rn31x8v	19	37	convolutional	convolutional	ADJ
5q47rn31x8v	19	38	codes	code	NOUN
5q47rn31x8v	19	39	,	,	PUNCT
5q47rn31x8v	19	40	a	a	DET
5q47rn31x8v	19	41	conclusion	conclusion	NOUN
5q47rn31x8v	19	42	supported	support	VERB
5q47rn31x8v	19	43	by	by	ADP
5q47rn31x8v	19	44	simulation	simulation	NOUN
5q47rn31x8v	19	45	results	result	NOUN
5q47rn31x8v	19	46	.	.	PUNCT