[PDF] Top 20 The Operation Sequence Model—Combining N Gram Based and Phrase Based Statistical Machine Translation

... our model combines the benefits of both of the frameworks and removes their ...state-of-the-art phrase-based (Moses and Phrasal) and N-gram-based (Ncode) systems on three ... See full document

... to model above ...tense sequence. Then, a target-side tense n-gram model is ...Such model can be used to estimate the rationality of tense combina- tion in a sentence and thus ... See full document

... Table 2 shows the average degree of refine- ment of the nodes in the final proposal. Nodes are shown by level of refinement, where m indi- cates that they store m words in their carry. The table also shows the number of ... See full document

... In this paper we explore a novel approach towards extending a standard PBSMT system with syntactic descriptions: we inject lexical descriptions into both the target side of the phrase translation table and ... See full document

... by combining three word alignment tables (i) GIZA++ alignment (ii) Berkeley Alignment and (iii) rule based align- ...Hybrid model in word alignment by improving the quality of translation in ... See full document

... Though phrase-based SMT has achieved high translation quality, it still lacks of generaliza- tion ability to capture word order differences between ...tree-to-string phrase- based ... See full document

... entropy based method for TM (Ling et ...NNLM based sentence adaptation, (Sennrich, 2012) for TM weights combination, and (Bisazza et ...NN based adaptation directly for all phrases, and ‘in+connect’ ... See full document

... from n-gram based automatic evaluation scores for a moment, and investigate the possible contributions of incorporating a grammar-based generator into a dependency-based SMT ...SMT ... See full document

... language model that was trained using the CMU Language Modeling Toolkit (Clarkson and Rosenfeld, ...language model is estimated at the word (not phrase) ...the translation of sentence “je vais ... See full document

... substitution gram- mars, which allow translation events to span sub- tree units, providing several advantages, including the ability to selectively produce uncohesive transla- tions (Eisner, 2003; Graehl ... See full document

... A phrase model has less cross-entropy than a word model (Mori et ...1997). Phrase modeling makes a more accurate language ...of phrase models is larger than that of word models, because ... See full document

... Table 2 shows the average degree of refine- ment of the nodes in the final proposal. Nodes are shown by level of refinement, where m indi- cates that they store m words in their carry. The table also shows the number of ... See full document

... same model feature vectors and give the same ...in n- best lists with very few di ff erent translations or fea- ture vectors, which is problematic for the algorithm we use to tune the feature ... See full document

... a phrase-based SMT decoder, the word se- quence of the target language is typically gener- ated in order in a forward ...the translation are generated first, then the subsequent words, in order until ... See full document

... the-art phrase-based SMT system (Wuebker et ...the phrase based decoder, Jane ...with phrase transla- tion probabilities for source-to-target and target-to- source directions, smoothing ... See full document

... powerful model called lexicalized reorder- ing model that is phrase ...reordering model learns local orientations (mono- tone or non-monotone) with probabilities for each bilingual ... See full document

... in-house phrase based SMT system which operates similarly to Moses (Koehn and Haddow, ...reordering model was trained with the msd-bidirectional-fe op- tion (Tillmann, ...The translation ... See full document

... space based on a bilingual dictionary of a negligibly small ...language model pre- training can learn a better cross-lingual embed- dings to initialize an unsupervised machine trans- lation ... See full document

... In addition, we used a rule augmentation method which is known as syntax-augmented machine translation (Zollmann and Venugopal, 2006). Because the tree-to-string SMT makes some constraints on extracting ... See full document

... We train the parameters in (5) using two bilingual development sets dev1 and dev2, the sentences in dev1 can be ranked with respect to the amount by which each particular sentence improves the BLEU score of the retrained ... See full document