[PDF] Top 20 Document Wide Decoding for Phrase Based Statistical Machine Translation

... A local search decoder has been advanced as a faster alternative to beam search also for phrase- based SMT (Langlais et al., 2007; Langlais et al., 2008). That work anticipates many of the features found in ... See full document

... traditional statistical ma- chine translation (SMT), neural machine translation (NMT) often sacrifices ade- quacy for the sake of ...existing phrase-based SMT model to com- pute ... 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 ... See full document

... train phrase based machine translation in which training and decoding are both cast in a sampling ...SMT decoding that infers both a Viterbi alignment and the target sentence, ... See full document

... a document, the local search de- coder attempts to make a great number of ...whole document at every step would be far too slow for the decoder to be ... See full document

... tional decoding strategy is superior to both mono- directional decoding ...from decoding bidirectionally were obtained very consistently, with only loose constraints on the de- ... See full document

... combining translation memory (TM) and statistical machine translation (SMT) when the TM database and the SMT training set are the ...TM phrase-pairs into the SMT phrase table to ... See full document

... phrase translation candidates has a positive effect on both translation quality and ...new phrase as a lower bound for the full LM costs of the ...phrase. Phrase-only LM ... See full document

... In decoding, these two phrases may be connected together as ‘would like to learn Chinese as second ...the translation probabilities of connecting phrases from out-of-domain corpus are estimated by real ... See full document

... Since statistical machine translation (SMT) and translation memory (TM) complement each other in matched and unmatched regions, integrated models are proposed in this paper to incorporate TM ... See full document

... incremental decoding to perform better for the same beam ...incremental decoding without delay pruning still seems to incur search errors when compared with the regular decoding with a larger ... See full document

... our phrase table and lan- guage model supports a literal translation, cohesion tends to produce an ...first translation example shown in Table 5. In the base- line translation, the language ... See full document

... Evaluation exercises indicate that approximate search algorithms work well in practice (Bojar et al., 2013). The most popular algorithms pro- vide solutions with unbounded error, thus pre- cisely quantifying their ... 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

... The parser only operates on the French-side gram- mar; the English-side grammar a ff ects parsing only by increasing the e ff ective grammar size, because there may be multiple rules with the same French side but di ff ... See full document

... standard phrase extraction procedure in SMT consists of two phases: (i) word-alignment training ...heuristic phrase extraction and relative frequency based phrase trans- lation probability ... See full document

... Despite the promise of active learning for SMT for domain adaptation and low-density/low-resource languages, there has been very little work published on this issue. A Ph.D. proposal by Chris Callison- Burch ... See full document

... the ITG reorderings, we see that the ITG system always outperforms the unconstrained system. The improvement on the whole test set is statistically significant at the 95% level. 1 In Table 5 and Table 6, we show the re- ... See full document

... The translation model P ( s | t ) is estimated from bitexts and the language model P ( t ) from monolingual ...are phrase-based models which translate short sequences of words together (Koehn et ... See full document

... right-to-left decoding method, which translates an input string by gen- erating in right-to-left ...bidirectional decoding method, that can take both of the advantages of left-to-right and right-to-left ... See full document