[PDF] Top 20 The LIG Machine Translation System for WMT 2010

... statistical machine translation (PBMT) use phrases as units in the translation ...the translation table, the system is unable to translate ...PBMT system and combine these ... See full document

... Automatic evaluation results of our final systems using BLEU 4 (Papineni et al., 2002) are given in Table 2. To acquire final translations, we per- formed also ensembling of the best-performing in- dividual models. For ... See full document

... line system with and without each individual fea- ...best system submitted to this shared ...our system to generate translations more similar in length to the final test ... See full document

... Cunei Machine Translation Platform (Phillips and Brown, 2009) is open-source software and freely available at ...the translation task with a non-parametric model that assesses the relevance of each ... See full document

... ing in 37M sentence pairs (777M English tokens, 725M Russian tokens). We use newstest2016 (2998 sentence pairs) as the development set for early-stopping during NMT training. For contin- ued training experiments, we ... See full document

... Preliminary results with this approach were in- conclusive. For example, on the Russian-English newstest2015, the BLEU score is 27.27 for 1-best vs. 27.31 for reranking. On German-English new- stest2015, the BLEU score ... See full document

... phrase-based translation (Chiang, 2007), a weighted synchronous context-free gram- mar is induced from parallel ...al., 2010; Huck et al., 2012) are: Phrase translation probabilities and lex- ical ... See full document

... The WMT German→English Common Crawl cor- pora contains bilingual sentence pairs with non- German source or non-English target ...the translation quality does not change by removing sentences with wrong lan- ... See full document

... n-gram translation models and target n- gram language models, 13 conventional features are combined: 4 lexicon models similar to the ones used in standard phrase-based systems; 6 lexical- ized reordering models ... See full document

... Neural machine translation (NMT) is a rapidly changing research ...statistical machine translation (SMT) systems (Bojar et ...news translation of the Third Conference on Machine ... See full document

... the WMT 17 news translation shared task for the Turkish-English language ...chine translation task poses the problem of a low- resource ...data-driven machine translation meth- ods ... See full document

... HPBT system. The translation result in the BLEU score performs best when we combine all three statistical machine trans- lation systems and two rule-based systems ... See full document

... al., 2010; Specia and Soricut, 2013) has emerged as a mean to minimise the post-editing ef- fort by developing techniques that allow to estimate the quality of the translation hypotheses produced by an MT ... See full document

... neural machine translation systems we translated part of the monolingual training data back to English in a similar way as described by (Bertoldi and Fed- erico, 2009) and (Sennrich et ...the system ... See full document

... each system back-translated a part of the monolingual data from the target language into the source language in order to create additional synthetic source-to- target parallel ... See full document

... Rico Sennrich, Orhan Firat, Kyunghyun Cho, Alexan- dra Birch, Barry Haddow, Julian Hitschler, Marcin Junczys-Dowmunt, Samuel L¨aubli, Antonio Vale- rio Miceli Barone, Jozef Mokry, and Maria Nade- jde. 2017. Nematus: a ... See full document

... phrase translation probabilities of the phrase pairs obtained from the shallow-transfer RBMT resources we simply add them once to the list of corpus-extracted phrase pairs, and then com- pute the probabilities by ... See full document

... Our experiences in WMT 2017 illustrate the sharp divide between large- and medium-scale data scenarios when working with neural MT. For Russian-English, we found ourselves relying on techniques that are usually ... See full document

... the Translation Er- ror Rate (TER) with respect to the automatic trans- ...French–English system and 75% for the English–French system were ...French–English system, and 21M words to include ... See full document

... of system outputs for some sentence; this strict fil- tering criterion is further described and released as open source in Heafield and Lavie ...to machine translation sys- tems, with phrase table ... See full document