[PDF] Top 20 Supertagged Phrase Based Statistical Machine Translation

... extract phrase pairs in the standard way (Och & Ney, 2003) and associate with each phrase-pair a set of target language syntactic struc- tures based on supertag ... See full document

... in translation quality, but do not report a corresponding improvement when re- ordering test data in a similar ...noun phrase subjects in verb-initial clauses achieving an F-score of ... 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

... models based on PCFGs can be learned from source-parsed bitext and then applied in the preprocessing ...the translation unit from phrases to tree-to-string align- ment templates (TATs) while we do ... 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

... 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

... databases, translation memories, machine translation and hu- man ...a translation memory of in- dividual sentence pairs from previously posted ads; another third of all text is typically found ... 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

... for phrase-based SMT was described by Koehn et ...of phrase-based SMT, in par- ticular the n-gram language model (LM), only de- pend on a constant number of output words to the left of the ... 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

... 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

... In Table 4 the IMT results for the three considered corpora (for both translation directions) are shown. MERT training for the development corpus was per- formed to adjust the weights of the log-linear model. In ... See full document

... frequency- based cutoff method, which is one of the most widely used filtering ...tasks: phrase reduction, hierarchical rule reduction, and joint re- ...the translation per- formance is highly ... 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 recent work of (Resnik et al., 2010) uses crowdsourcing to obtain paraphrases for source phrases corresponding to mistranslated target phrases. The spotting of the incorrect target phrases and the paraphrasing of the ... See full document

... An efficient decoding algorithm is a cru- cial element of any statistical machine translation system. Some researchers have noted certain similarities between SMT decoding and the famous Traveling ... 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- best ... See full document