[PDF] Top 20 Reordering Model Using Syntactic Information of a Source Tree for Statistical Machine Translation

... NICT using the method of Uchiyama and Isahara ...phrase-based translation model training, we used the GIZA++ toolkit (Och and Ney, 2003), and ...language model training, we used the SRI ... See full document

... allows reordering of the source language during translation ...simple reordering model which has a fixed penalty for reordering moves in the ...include reordering parame- ... See full document

... phrases reordering strategies. According to the movement of phrase translation, the pattern of phrase reordering can be divided into three classes: monotone, BTG (Bracket Transduction Grammar) (Wu, ... See full document

... the reordering models that are integrated into the decoder, the reordering at the source side can utilize more syntactic knowl- edge, with the goal of adjusting the source lan- guage ... See full document

... phrase translation model per- form if we permute the source words to fit tar- get word order as perfectly as word alignment might allow? And how well would it perform if we limit the allowed ... See full document

... feature-bases reordering methods in that they take the context of the re- ordered tokens into account - a key to English-German word ...entire source parse, including coarse levels where reordering ... See full document

... guage model of of (Shen et ...by tree depth, and sometimes produces conjoined cat- egories, rather than consistently produce the func- tional “slash” categories that a full CCG would — ... See full document

... Michael Collins, Amir Globerson, Terry Koo, Xavier Carreras, and Peter L. Bartlett. 2008. Exponen- tiated gradient algorithms for conditional random fields and max-margin markov networks. Journal of Machine ... See full document

... Bracketing Transduction Grammar (BTG) is a spe- cial case of Synchronous Context Free Grammar (SCFG), with binary branching rules that are either straight or inverted. BTG is widely adopted in SMT systems, because of its ... See full document

... improved reordering could be integrated: In the preprocessing: the source sentence is re- ordered by heuristics, so that the word order of source and target sentences is ...the source ... See full document

... global reordering model that explicitly models long distance re- ordering 1 ...of reordering patterns, namely MA (monotone adjacent), MG (monotone gap), RA (reverse adjacent), and RG (reverse ...the ... See full document

... the statistical approach. In some studies, reordering decisions are done “deterministically” by supply- ing the decoder with a canonical word order (Xia and McCord, 2004; Collins et ...These ... See full document

... current statistical machine translation system, reordering is still a major problem for language pairs like Chinese-English, where the source and target language have significant word ... See full document

... lection model with syntactic features for string-to- tree machine ...French-English translation tasks for different domains has shown that rule se- lection cannot significantly improve ... See full document

... the information gain ra- tio (IGR) for boundary words as well as the whole blocks against the order on the reordering exam- ples extracted by the algorithm described ...decision tree learning to ... See full document

... Linguistic Reordering Models As mentioned earlier, the linguistic reordering unit is the syntactic constituent for syntactic reorder- ing, and the semantic role for semantic ...The ... See full document

... a reordering model (RM) that indicates how the order of words in the source sentence is likely to influence the order of words in the target ...best translation practice differs widely across ... See full document

... In statistical machine translation, correspondences between the words in the source and the target language are learned from parallel corpora, and often little or no linguistic knowledge is ... See full document

... the source text more grammatically in line with the target language, a bad parse can be disastrous: moving parts of the sentence that shouldn’t be moved, and introducing more distortion error than it is able to ... See full document

... tion tree of an input sentence ...abstraction tree of the input sentence (line 1), and independently translates each node us- ing the block-LM that models ordering among non-terminals and lexical words ... See full document