[PDF] Top 20 Filtering Syntactic Constraints for Statistical Machine Translation

... In statistical machine translation (SMT), the search problem is NP-hard if arbitrary reordering is allowed (Knight, ...and translation quality. The most widely used reordering ... See full document

... In this way, the system can differentiate the distor- tion distributions for single source words with differ- ent POS tags, such as adjectives versus nouns. And in the meantime, we also differentiate the distortion ... See full document

... In the next, we review this body of research. Our own research differs in that how to integrate in- formation into SMT components systems. Most of the related work is on Arabic-to-English SMT. In prior work (Lee, 2004) ... See full document

... the statistical gener- ations, the MT quality of ranks A+B+C by subjec- tive evaluation significantly ...the translation and the input sen- ...on translation speed, the worst time for Bottom-up ... See full document

... Philipp Koehn, Hieu Hoang, Alexandra Birch, Chris Callison-Burch, Marcello Federico, Nicola Bertoldi, Brooke Cowan, Wade Shen, Christine Moran, Richard Zens, Chris Dyer, Ondˇrej Bojar, Alexandra Constantin, and Evan ... See full document

... The subjective evaluation scores reveal that only a few translations degrade in quality when reorder- ing constraints are used with finite clauses (largely due to fluency issues of the kind described in sec- tion ... See full document

... phrase-based statistical machine translation (PSMT) to translate between language pairs which require long-range re- ordering has attracted a great deal of interest in re- cent ... See full document

... The statistical approach to machine translation has proved successful in various com- parative evaluations since its revival by the work of the IBM research group more than a decade ...and ... See full document

... porating syntactic and morphological infor- mation for English to Hindi statistical ma- chine ...for statistical machine translation from English to Indian languages in general, since ... See full document

... After creating word alignments of a training par- allel corpus, there are target word orders which are not derived from rotating nodes of source-side parse- trees. Figure 3 shows a sample which is not derived from ... See full document

... reordering constraints into a hierarchical phrase-based translation sys- tem: 1) a syntactic reordering model that explores reorderings for context free grammar rules; and 2) a semantic re- ordering ... See full document

... Neural Machine Translation (NMT) model generates trans- lations from left to right as a linear sequence, during which latent syntactic structures of the target sentences are not explicitly ...using ... See full document

... shared translation task and is state- of-the ...ment constraints that are provided by a unification grammar (Williams and Koehn, 2011), but use them for analysis ... See full document

... Statistical machine translation, as pioneered by IBM (e.g. Brown et al., 1993), is grounded in the noisy chan- nel model. And similar to the related channel problems of speech and handwriting ... See full document

... A complicating factor is that the binarization should not impair the RDLM. During decoding, we map the internal tree structure of each hypoth- esis back to the unbinarized form, which is then scored by the RDLM. Virtual ... See full document

... explicit syntactic information in the source language—for example, none of the methods make use of an existing source-language parser (the systems of Yamada and Knight (2001) and Marcu et ... See full document

... adding syntactic infor- mation into the PBM-based SMT framework as ...and translation rule extraction ...incorrect translation rules can both lead to the consequence that the prediction will never ... See full document

... The main problem of such a phrase pair ex- traction procedure is the resulting phrase transla- tion table is very large, especially when a large quantity of parallel data is available. This is not desirable in real ... See full document

... We tested two constraint model systems, one us- ing the rules as hard constraints and the other as soft constraints. The former discarded all hypotheses that failed constraints and used the modified ... See full document

... boost translation quality further on any of the two test ...soft syntactic label set of composite SAMT-style la- bels comprises 8504 different labels that appear on the source-side of the parallel training ... See full document