[PDF] Top 20 NRC Machine Translation System for WMT 2017

... the machine translation sys- tems developed at the National Research Council of Canada (NRC) for the Russian- English and Chinese-English news trans- lation tasks of the Second Conference on ... 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

... WMT is a great opportunity to chase after perfor- mance and joining our efforts has allowed to save considerable amount of time for data preparation and tuning choices (even when final decisions were different ... See full document

... To create these different alignments, we used fast align (Dyer et al., 2013) and two imple- mentations of GIZA ++ (Och and Ney, 2003). The alignment was trained in both source to target di- rection and target to source ... See full document

... smoothed 3-gram and 4-gram precisions. To that end, the training data is decoded to generate 100- best lists. We apply a leave-one-out heuristic (Wuebker et al., 2010) to make better use of the training data. Using these ... See full document

... Postediting is the process whereby a human user corrects the output of a machine trans- lation system. The use of basic postediting tools by bilingual human translators has been shown to yield substantial ... See full document

... Markus Freitag, Joern Wuebker, Stephan Peitz, Her- mann Ney, Matthias Huck, Alexandra Birch, Nadir Durrani, Philipp Koehn, Mohammed Mediani, Is- abel Slawik, Jan Niehues, Eunah Cho, Alex Waibel, Nicola Bertoldi, Mauro ... See full document

... on WMT evaluation ...most machine translation outputs, through analysis of the training set of WMT17 APE en-de ...best translation as the post-edited output from the n-best list ... See full document

... statistical machine translation (SMT) systems for various language pairs, ...in WMT machine translation shared tasks in recent years (Bojar et ... 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

... Since DCCEF achieved the best results in the shared task on parallel corpus filtering at WMT 2018 (Koehn et al., 2018), we decided to test whether the combination of our filtering meth- ods (i.e., TMTF) and DCCEF ... See full document

... enhance machine translation for the low-resource setting: a bilingual corpus extracted from Wikipedia, and bilingual corpora of Turkish and English paired with the six pivot ...a system incorporating ... See full document

... The light workflow was used to produce the tilde-c-nmt-2bt (constrained NMT with two sets of back-translated data) systems. First, we trained baseline models using only filtered par- allel datasets (Parallel-only in ... See full document

... Rico Sennrich, Alexandra Birch, Anna Currey, Ulrich Germann, Barry Haddow, Kenneth Heafield, An- tonio Valerio Miceli Barone, and Philip Williams. 2017. The university of edinburgh’s neural MT systems for wmt17. ... See full document

... Theoretically adding new features should only improve a system as a feature can always by ig- nored by assigning it a weight of zero. How- ever, new features expand the hypothesis space and provide the model with ... See full document

... The decoder infrastructure we used was cdec (Dyer et al., 2010). For our primary systems, all data was tokenized using cdec’s tokenization tool. Only the constrained data resources pro- vided for the shared task were ... See full document

... shared translation task of ACL 2016 First Con- ference on Machine Translation (WMT ...neural machine translation model as reranking ... See full document

... As the only news parallel corpus provided for the workshop contains 85k sentence pairs, we must resort to other parallel out-of-domain cor- pora in order to build reliable translation models. If in-domain and ... See full document

... Philipp Koehn, Hieu Hoang, Alexandra Birch, Chris Callison-Burch, Marcello Federico, Nicola Bertoldi, Brooke Cowan, Wade Shen, Christine Moran, Richard Zens, Chris Dyer, Ondˇrej Bojar, Alexandra Constantin, and Evan ... See full document

... the translation quality. Thus, we decided to use the lematized system only when OOV verbs are present in the source sentence to be trans- ...lation system which call the lemmatized system only ... See full document