[PDF] Top 20 A Comparison of Pivot Methods for Phrase Based Statistical Machine Translation

... the pivot strategies in a situation where a very limited amount of parallel text is ...the pivot strategies against that of Direct SMT systems under controlled experiments in order to determine how much the ... 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 ...adaptation methods have been ... See full document

... the translation process (Zamora-Martínez et ...be based on the work on distributed LMs, for instance (Brants et ...space translation models in an bilingual tuple system only used rescoring (Schwenk ... See full document

... Recently, phrase-based translation approaches became more and more ...for comparison. In (Zens et al., 2002), a simple phrase-based approach is described that served as starting ... See full document

... in comparison to regular beam ...the translation scores of the best hy- potheses produced by the ID and the regular beam search and then compute the mean squared error (MSE) for the entire test ... See full document

... Our hope is that syntactic cohesion will help the decoder make smarter distortion decisions. An ex- ample with distortion is shown in Figure 2. In this case, we present two candidate French translations of an English ... See full document

... machine translation. The approach proposes to build a source-target phrase table by merging the source-pivot and pivot-target phrase ...the translation probabilities for ... See full document

... for comparison was Pharaoh (Koehn et ...(maximum phrase length 7), and then used Koehn’s implementation of minimum- error-rate training (Och, 2003) to tune the feature weights to maximize the system’s BLEU ... See full document

... The results of the previous sections were all based on experiments on the BTEC corpus. This corpus is unsual in that the sentences are short and the training data size is also small. In order to establish that our ... 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

... to statistical ma- chine translation (SMT) is the lack of par- allel data for many language ...to pivot through a third language for which there exist par- allel corpora with the source and target ... See full document

... a machine learning method to improve pivot-based statistical machine translation ...in pivot-based SMT using another language as a "bridge" to gen- erate ... See full document

... The translation result is shown in Figure 8. The pivot model only outperforms the standard model trained with 2,500 sentence ...the pivot model are smaller as compared with the Europarl corpus; (2) ... See full document

... of Statistical Machine Translation as well as those of testing sig- nificance of associations in two by two contingency tables departing from ...only phrase pairs that pass a significance ... See full document

... a phrase-based MT approach to paraphrasing with a syntax-based MT ...The Phrase-based approach performs better in terms of NIST score weighted by edit distance of the out- ...the ... See full document

... direct phrase probabilities adaptation as opposed to ...the phrase level, assigning each phrase pair a weight according to its relevance to the test ...compare phrase weighting to a “flat” ... See full document

... investigate unbiased sampling in addition to op- timisation. However, they start from a coarser upperbound with unigram probabilities, and their refinement strategies are based on exhaustive in- tersections with ... 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

... Abstract- Machine Translation (MT) is a technique that automatically translates text from one natural language to another using machine like ...computer. Machine Transliteration (MTn) is also ... See full document

... human translation for example, is its partly repetitive ...same machine translation system is handled by multiple post-editors, then the opportunities for factoring corrections become much more ... See full document