[PDF] Top 20 A Phrase Based,Joint Probability Model for Statistical Machine Translation

... with phrase translations that are learned independent of a translation model can also affect the decoder ...tical translation memory of phrases in conjunction with a statistical ... See full document

... Recently, phrase-based translation approaches became more and more ...simple phrase-based approach is described that served as starting point for the system in this ...a joint ... See full document

... of phrase-based statistical machine translation is often reduced by the complexity to construct ...in phrase-based statistical machine translation, ... See full document

... in phrase-based statistical machine ...on translation quality when the translation units used in the translation hypotheses are allowed to overlap on the source side, on ... See full document

... In statistical machine translation, the gen- eration of a translation hypothesis is com- putationally ...for phrase-based statistical machine trans- lation, namely ... See full document

... for Statistical Machine Translation (SMT), only the ones which belong to the same or similar domains of the original corpus can indeed enhance SMT performance ...ison, phrase is a smaller and ... See full document

... techniques: phrase-based statistical machine translation (SMT), and a joint multi- gram ...The joint multigram model was used to generate an n-best list of ... See full document

... alignment model for Phrase-Based Statistical Machine translation ...alignment model provides most informative alignment links which are offered by both un- supervised and ... See full document

... extending Phrase-based Statistical Machine Translation (PBSMT) with syntactic structure caused system per- formance to ...PBSMT model that integrates supertags into the target ... See full document

... the Phrase Based Statistical Machine Translation (PBSMT) to improve translation quality is reported in the present work between Manipuri, a highly agglutinative Tibeto-Burman ... 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

... Beam search (Koehn et al., 2003) and cube prun- ing (Chiang, 2007) are examples of state-of-the-art approximate search algorithms. They approximate the intersection between the translation forest and the language ... See full document

... In contrast, the delayed pruning not only avoids search errors but also provides a dynamically man- ageable search space (refer section 4.2.2) by re- taining the best of the potential candidates. In a practical scenario ... See full document

... reordering model (Tillman, 2004; Koehn et al., 2005). For each phrase pair in our translation table, the lexical reordering model tracks statistics on its reordering behavior as ob- served in ... 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

... 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

... because it creates spurious ambiguity—a situation where the decoder produces many derivations that are distinct yet have the same model feature vectors and give the same translation. This can result in n- ... See full document

... for phrase-based statistical machine transla- tion (SMT), namely phrase translation and sentence ...The phrase translation strategy means that we di- rectly ... See full document

... into statistical MT (Och et ...distortion model in that it models phrase connectivity instead of position ...language model, it only models the ordering connectivity between target lan- guage ... See full document

... BLEU (D(s; T M ), D(s; T M ∗ )) (1) where the function D produces the target sentence of the source sentence s, given the translation model T M . Consistency measures the similarity between the two groups ... See full document