[PDF] Top 20 A Comparative Study on Reordering Constraints in Statistical Machine Translation

... first constraints are based on inversion transduction grammars (ITG) (Wu, 1995; Wu, ...ITG constraints. The second constraints are the IBM constraints (Berger et ...these constraints ... See full document

... In statistical machine translation, the gen- eration of a translation hypothesis is com- putationally ...different reordering constraints for phrase-based statistical ... See full document

... (NP) translation subsystem to obtain significant improvements in German-English ...long-distance reordering in a specialized domain – English- Japanese translation of research paper abstracts in the ... 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 ...syntactic reordering ... See full document

... In statistical machine translation (SMT), the search problem is NP-hard if arbitrary reordering is allowed (Knight, ...possible reordering in an appropriate way for both efficiency and ... See full document

... any reordering constraints, such as IBM constraint and ITG constraint in the search for the N-best phrase alignment (Zens et ...phrase translation probabil- ity is 0.0001. The maximum number of ... See full document

... soft constraints for the SMT decoder: that is, a penalty that fires whenever the decoder violates the predicted ...source-to-target translation is proposed by Dyer and Resnik ...end-to-end ... See full document

... the reordering space, that is then trans- lated in a monotonic ...to study the reordering space that is explored and then to assess its im- pact on the whole translation ...the ... See full document

... In training the models, we manually come up with around 30-50 types of features, which consists of a combination of elementary and compound features. Due to space constraints, we will describe the ac- tual ... See full document

... (Wang et al., 2007) present a pre-reordering method for Chinese-English translation task. In Section 3.6 of (Zhang, 2013), instead of doing hard reordering decision, the author uses the rules as soft ... See full document

... Arabic translation, our work is in the direction of the more morphologically com- plex language, which poses unique ...syntactic reordering rules on the English source to align it better to the Arabic tar- ... See full document

... the translation model and SRILM (Stolcke, 2002) for training the language ...five translation model features, a distance-based reordering penalty, and a word ... See full document

... syntax-based reordering for Ara- bic specifically, Carpuat et ...syntax-driven reordering of the training data only for the purpose of alignment improvement leads to a substantial improvement in ... See full document

... in statistical machine translation ...tistical machine reordering ...for statistical machine translation (SMT) to translate the source language (S) into a reordered ... 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

... Figure 2 shows the resulting flows between clus- ters. Figure 2a shows the earliest period in our (post-1980) dataset, where we see reflections of ear- lier natural language understanding work by Schank, Woods, Winograd, ... See full document

... Reordering patterns of the source language syntax and their probabilities are automatically learned from the word-aligned source-parsed parallel data and incorporated as a tree-to-string grammar for decoding. ... See full document

... We conceived of the assignment as one in which stu- dents could apply machine learning or feature engi- neering to the task of reranking the systems, so we provided several tools. The first of these, learn, was a ... See full document

... Phrase-based systems were trained for each lan- guage pair using 11M sentence pairs spanning a variety of publicly available (e.g. Europarl, UN speeches) and internal corpora (IT technical and news domains). The system ... See full document

... Some readers may argue that the features to distinguish the sentence types are very obvious in Chinese. For example, “ ? ” can easily sepa- rate the interrogative sentences from non- question sentences. In this case, a ... See full document