[PDF] Top 20 Improving Statistical Machine Translation with Word Class Models

... of word classes, it is pos- sible to train models that are less prone to sparsity ...standard models used in statistical machine ... See full document

... the translation performance of word alignments obtained via Bayesian inference to those obtained via expectation-maximization ...rare word problem in EM-estimated models; and at the same time ... See full document

... the translation process. Trying all possible word reordering is an NP-Complete prob- lem as shown in (Knight, 1999), which makes search- ing for the optimal solution among all possible permu- tations ... See full document

... source word can be aligned to at most one target ...one word in the source language (Ger- man) Ԭ ...a word alignment algorithm which avoids this con- straint and produces symmetric word ... See full document

... Improving Statistical Machine Translation Using Word Sense Disambiguation Marine Carpuat and Dekai Wu.. Large Margin Synchronous Generation and its Application to Sentence Compression Tr[r] ... See full document

... new translation task is often driven by costly empirical trials rather than by linguistic ...Our word order analysis can be easily extended to other language pairs, using the methodology presented in ... See full document

... same word alignments, the Czech translation of the head of the English antecedent should be the same in the output of ...single-step translation systems such as that used by Hardmeier & Federico ... See full document

... phrase-based statistical MT system and this im- provement is statistically ...into statistical MT via the intro- duction of two new features, we could explore other alternative ways of ... See full document

... the models accuracies are high and close to each other with some degree of ...component models and this perfectly works for settings such as the one in (Petrov, 2010) where a number of parsers are trained ... See full document

... In order to address this issue, predicate-argument structures (PAS), which identify semantic frames within sentences by marking predicates, and labeling arguments with semantic roles, have been explored for SMT via ... See full document

... improve Statistical Ma- chine Translation ...namely improving word alignment for various kinds of SMT sys- tems and improving phrase table for phrase-based ...both word alignment ... See full document

... In the experiments described so far, we used only a single method at a time of incorporating mor- phological information into the translation process. However, it is straightforward to combine the pseu- doword ... See full document

... of translation model most generally used at present are constructed using another open-souce program, called GIZA++ (Och and Ney, ...good translation may be reduced simply because there are many good ways ... See full document

... for improving word alignment (Och, 1999), in a class-based language model (Costa-juss`a et ...clustered word classes for creating pre-translation reorder- ing ...clustered word ... See full document

... other statistical MT ...ITG translation model such as Wu (1996) or Zens et ...sentence translation hypotheses as done ...sophisticated statistical MT models that rely heavily on n-gram ... See full document

... On the other hand, there are approaches which use machine learning techniques. In Haque et al. (2009), authors have proposed syntactic and lex- ical context features, for integrating information about the ... See full document

... In this paper, we present first results with a new architecture that integrates a state-of-the-art WSD model into phrase-based SMT so as to per- form multi-word phrasal lexical disambiguation, and show that this ... See full document

... described word-to-phrase alignment mod- els capable of good quality bitext word ...Chinese-English translation and alignment they compare well to Model-4, even with large ...improves ... See full document

... tion models to explicitly incorporate the word reordering knowledge into attention-based Neural Machine Trans- lation (NMT) for further improving translation ...posed models ... See full document

... Current word alignment models for statisti- cal machine translation do not address mor- phology beyond merely splitting ...based word alignment model. The model jointly induces ... See full document