[PDF] Top 20 Novel Document Level Features for Statistical Machine Translation

... introduce document level features that capture necessary informa- tion to help MT system perform better word sense disambiguation in the transla- tion ...based translation model, utilizing ... See full document

... word level, one based on word alignments and other one ...a document al- though they do take into account both sides of the translation: source and ...as features inside MT ... See full document

... The coverage and the quality of the lexical chains are the most important factors in our ap- proach to improve translation. Words that are not in any lexical chain are not considered for im- provement at the ... See full document

... MT features: A joint language and translation model, and a lex- ical translation ...more features using neural networks, in- cluding two novel ones: a joint model with off- set source ... See full document

... Instead of directly modeling the distance of word movement, some phrase-level reordering models in- dicate how to move phrases, also called orientations. Orientations typically apply to the adjacent phrases. Two ... See full document

... language translation has been widely studied ...ficient translation system. Research into machine translation hybridization has increased over the last few years particulary with the ... See full document

... Table 4 shows weights for rule-overlap features. MIRA punishes the case where rules overlap with an IN (preposition) node. This makes sense: if a rule has a variable that can be filled by any English preposition, ... See full document

... Based MT (RBMT) systems. Simard et al. (2007a), trained a “mono-lingual” Phrase-based SMT system (the Portage system) on the output of an RBMT system for the source side of the training set of the Phrase-based SMT system ... See full document

... in Document-Level SMT In discourse analysis, cohesion is often studied to- gether with coherence which is another dimension of the linguistic structure of a text (Barzilay and Elhadad, ...for ... See full document

... the machine translation out- put the same ...a novel word, we score its aligned machine translated to- ken as correct if it matches the aligned reference ... See full document

... using document information as side constraints for phrase-based and neural translation models for patent ...translation. Document information was incorporated into the model as phrase-, word-, ... See full document

... Nevertheless there are only a few evaluation methods explicitly targeting on the quality of a docu- ment. Miller and Vanni (2001) devise a human eval- uation approach to measure the comprehensibility of a text as a ... See full document

... genuine document-level features, this is not the case, but even these models can often be decomposed in some way, for instance over paragraphs, anaphoric links or lexical ...a document that ... See full document

... Statistical machine translation systems are usually trained on a large amount of bilingual sentence pairs and translate one sentence at a time, ignoring document-level ...to ... See full document

... pronoun-focused translation task at DiscoMT 2015 is a document-level phrase-based statistical ma- chine translation (SMT) system integrating a neu- ral network classifier for pronoun ... See full document

... In this paper, we have presented a decoding pro- cedure for phrase-based SMT that makes it possi- ble to define feature models with cross-sentence de- pendencies. Our algorithm can be combined with DP beam search to ... See full document

... the translation. Exploiting the linguistic processing on word level — L EMMA , POS and L ING — pro- duces the best ...V features also delivers very good results, which indicates the effectiveness of ... See full document

... factor of no more than five in either the Chinese or En- glish tree, we achieved results for 480, or 48% of the 993 sentences. Of these 480, the model preferred the pro- duced over the oracle 52% of the time, indicating ... See full document

... of statistical MT post- editing(Autodesk, a software company, whose products are translated from English into up to twenty languages) as compared to traditional conversion in a two-day test involving twelve ... See full document

... recent document- level QE shared tasks, for example, the gold stan- dard is generated through a linear combination of two separate human evaluation components, with weights tuned to optimize mean absolute ... See full document