[PDF] Top 20 Bidirectional Phrase based Statistical Machine Translation

... contemporary machine translation paradigm, and to experiment with a broader range of ...automatic translation of a sentence in a given language from a partic- ular ...include translation among ... See full document

... improve translation output– has been explored by many ...for translation from French to English, where context-free constituency reordering rules are acquired automatically using source and target parses ... See full document

... learning phrase translations and decoding, we used Pharaoh (Koehn, 2004), a state-of-the-art phrase- based SMT system which is available for research ... See full document

... a translation model that assumes that lexical correspondences can be estab- lished not only at the word level, but at the phrase level as ...source machine translation ...automatic ... See full document

... into phrase-based SMT. We achieved this by enriching the phrase pairs in the standard phrase table with additional POS scores which re- flect the correspondence between the underlying POS ... See full document

... In this paper, we present a method for decoding complete documents in phrase-based SMT. Our de- coder uses a local search approach whose state con- sists of a complete translation of an entire ... See full document

... satisfactory translation in the other language; all of these feature functions can be used in both language directions, ...a translation and as an APE ...same translation model configuration and ... See full document

... the statistical machine translation (SMT), one of the problems of SMT is the search algorithms for the translation given a se- quence of ...the translation in left-to-right, with prun- ... 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

... of Statistical Ma- chine Translation (SMT) involves inferring a large table of phrase pairs that are translations of each other from a large corpus of aligned ...These phrase pairs together ... 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

... 1+2+3+4+5+6+7 28.7 23.8 55.8 53.7 Moses (1+. . .+7) 28.9 23.5 55.8 53.6 Table 6: French-to-English results for development and test data according to different log-linear scenarios. These models can also be implemented ... See full document

... The 4th Workshop on South and Southeast Asian NLP WSSANLP, International Joint Conference on Natural Language Processing, pages 72–76, Nagoya, Japan, 14-18 October 2013.... ºï ðòïï ðòðç.[r] ... See full document

... We investigate the effectiveness of our reduction method by conducting Chinese-to-English transla- tion task. The training data, as same as Cui et al. (2010), consists of about 500K parallel sentence pairs which is a ... See full document

... the phrase-based model (i.e. one or more phrase pairs re- quired to compose a given alignment have not been seen during the training ...complex translation tasks as will be shown in section ... See full document

... Burch et al., 2005) measured the impact on transla- tion quality of the sample size in random sampling of source phrase examples in the training corpus to estimate a phrase’s translation probabilities. As ... See full document

... idiomatic phrase translations and can be easily enriched with bilingual ...using phrase-based translation in a statistical framework has been shown in many studies such as (Koehn et ... See full document

... a phrase-based system, tools and resources are freely available for re- searchers in the ...syntax-based translation models [Ya- mada and Knight, 2001], proves to be ...the phrase ... See full document

... The proposed method proceeds by first con- structing an AGTSP instance from the decoding problem, and then converting this instance first into ATSP and finally into STSP. At this point, a direct application of the well ... See full document

... is based on the log-linear com- bination of a phrase translation model, a lexicalized reordering model, a 6-gram target language model, distortion cost, word and phrase ...hierarchical ... See full document