id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_v44vkh6bzramngvcrficy2no44	Arianna Bisazza	Dynamically Shaping the Reordering Search Space of Phrase-Based Statistical Machine Translation	2013	14	.pdf	application/pdf	8887	757	66	this model into a phrase-based decoder improves a strong Arabic-English baseline already including state-of-the-art early distortion cost (Moore and Quirk, 2007) and hierarchical phrase orientation models (Galley and Word order differences are among the most important factors determining the performance of statistical machine translation (SMT) on a given language includes a basic reordering model, called distortion cost, that exponentially penalizes longer jumps reordering models (Visweswariah et al., 2011) estimate, for each pair of input words i and j, the cost Long jumps are then suggested to the PSMT decoder by reducing the distortion cost for specific pairs of input words. Fig. 1 illustrates the scoring process: when a partial translation hypothesis H is expanded by covering a new source phrase f̃ , the model returns the Linguistically Motivated Reordering Modeling for Phrase-Based Statistical Machine Translation. A word reordering model for improved machine translation. reordering models for statistical machine translation.	./cache/work_v44vkh6bzramngvcrficy2no44.pdf	./txt/work_v44vkh6bzramngvcrficy2no44.txt