[PDF] Top 20 The Cunei Machine Translation Platform for WMT ’10

... top translation (and corresponds closely with the actual 1-best BLEU ...addition, Cunei supports the ability to decode sentences toward a particular set of refer- ... See full document

... English–Finnish and English–Turkish. The de- fault settings were used for the Thrax grammar ex- tractor: Hiero rules were extracted from spans as large as 10 words, and applied at decoding time to spans as long as ... See full document

... With the News additional bitext added to Eparl+NC, we obtain a system of similar perfor- mance as the baseline system used to generate the automatic translations, but with less than 30% of the data. This holds in both ... See full document

... After observing large discrepencies between the types of segments in our development data and the well-formed news domain sentences we expected to be tested on, we made the decision to prune our tuning set by removing ... See full document

... Commentary, 10 9 , UN, and News Crawl data for LM training), we are able to improve translation qual- ity considerably by first adopting more parallel (10 9 and UN) and monolingual (French LDC ... See full document

... The first, more naive grammar filtering method sorted all hierarchical rules by extracted frequency, then retained the most frequent 10,000 rules to join all matching phrase pair rules in the final translation ... See full document

... we randomly sample 10M German sentences from NewsCrawl2016 and translate them back to En- glish using an German-English model. However, we found random sampling do not work well. As a result, for Chinese-English ... See full document

... French-English 10 9 corpus and the French- English UN ...the translation systems are extracted from the Europarl and news- commentary parallel training data as well as the se- lected high-quality parts the ... See full document

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

... As in our previous participations (Le et al., 2012b; Allauzen et al., 2013; P´echeux et al., 2014; Marie et al., 2015), we take advantage of the pro- posal of (Le et al., 2012a). Using a specific neu- ral network ... See full document

... We trained our basic neural machine translation systems (labeled base in Table 3) with Nematus (Sennrich et al., 2017). We used batch size 80, vocabulary size of 50k, word dimension 500 and hidden dimension ... See full document

... The latest version of the News-Commentary (NC) corpus and of the Europarl (Eparl) corpus (version 6) were used. We also took as training data a sub- set of the French–English Gigaword (10 9 ) corpus. We applied ... See full document

... fective again. The biggest difference from Chi- nese → English is that diverse ensemble decod- ing improves the performance at most +1.33 BLEU when we integrate 10 models. However, increasing either the number of ... See full document

... Second, as in last year’s evaluation, we auto- matically extracted and aligned parallel sentences from comparable in-domain corpora. We used the AFP (Agence France Presse) and APW (Associated Press Worldstream Service) ... See full document

... ploy translation model interpolation and hierarchi- cal phrase ...train translation mod- els on different training data sets and augment the phrase-based system with a hierarchical re- ordering model, a ... See full document

... translating from English to another language, neu- ral machine translation works particularly well, achieving the best BLEU-c scores among all the constrained systems. On the other hand, NMT is generally ... See full document

... For the participation in the WMT 2010 shared translation task, RWTH used state-of-the-art phrase-based and hierarchical translation systems. To deal with the rich morphology and word or- der ... See full document

... This paper describes the development of several machine translation systems for the 2009 WMT shared task evaluation. We only consider the translation between French and English. We describe a ... See full document

... In this paper, we described our submission to the WMT 2018 news translation task. Through experiments, we found that careful parallel cor- pus cleaning for the provided and synthetic cor- pora largely ... See full document

... This paper describes our submission, cmu-heafield-combo, to the WMT 2010 machine translation system combi- nation task. Using constrained resources, we participated in all nine language pairs, namely ... See full document