[PDF] Top 20 Training Neural Machine Translation to Apply Terminology Constraints

... at training time, how to use ter- minology when target terms are provided in in- ...the translation to contain the provided terms, even if they were not observed in the training ...of ... See full document

... the training of a neural machine translation (NMT) system, which allows us to control the level of politeness at test time through what we call side ...for translation between languages ... See full document

... and apply our subselection algorithm (Gwinnup et ...in training the student system, distributed as given by the “Selected” column of Table ...the training data increasing dramatically from “Given” to ... See full document

... Neural machine translation decoders are usually conditional language models to sequentially generate words for target sen- ...a translation experi- ment from English to French, the concept ... See full document

... control, translation accuracy could be improved if we can accurately predict the length of target sentence from source ...prefix constraints with other domain adaptation techniques, such as side ... See full document

... We recall Table 5 where we see that the man- ual evaluator has marked 12 term translations with STC since in those cases the PB-SMT system copied source terms (or a part of source terms) verbatim into the target. In ... See full document

... in Neural MT ...the Neural MT training to match the incremental decoding, which significantly im- proved the chunk-based decoding, but we did not observe any improvement using Add-M ... See full document

... the constraints regardless of their score and thus guide the decoder into the right area of the search ...satisfied constraints as defined by FSA ...for Constraints Before decoding, we build an FSA ... See full document

... statistical machine translation (Och, 2003; Smith and Eisner, 2006; He and Deng, ...As neural networks are non-linear, our approach has to minimize the expected loss on the sentence level rather than ... See full document

... enhance Neural Machine Translation models, several obvious ways such as enlarging the hid- den size of recurrent layers and stacking multiple layers of RNN can be ...the training and leads to ... See full document

... contemporary neural machine transla- tion (NMT) techniques, especially for resource-scarce language ...Statistical Machine Translation (SMT) ...in translation quality over a baseline ... See full document

... the training program but per- form it ...During training, a synthetic set is se- lected for each epoch using round-robin schedul- ing, and learns the model using the synthetic set and the original ...the ... See full document

... readability constraints, the phrase the honourable Members has been simplified, either by removing the adjective and giving only ledamöterna (’the members’), or even by using the pronoun ni ...the ... See full document

... The English word goalie is not translated to the correct German word Torwart, but to the German word Gott, which means god. One problem could be that we need to limit the vocabulary size in order to train the model ... See full document

... The summary of the term translation quality evaluation for the individual scenarios is given in Table 5. The results show that the proportion of correct term translations has improved for all language pairs from ... See full document

... Neural Statistical Machine Translation Neural Machine Translation Encoder Decoder Sequence-to-sequence learning: Encoder Sequence-to-sequence learning: Decoder Let’s use a simple NN for [r] ... See full document

... Submission For the official submission, we used the ALL ensemble for the Sinhala–English task and the LASER global + local ensemble for the Nepali–English task. We also submitted the LASER local as a contrastive system. ... See full document

... synchrony constraints with the requirement of meaning-preserving trans- ...this translation in the in-domain condition; the proxy-target of syllables may work less well for longer, more specific words as ... See full document

... syntax-augmented machine translation (Zollmann and Venugopal, ...some constraints on extracting rules by consid- ering syntactic tree structures, it usually extracts fewer rules than hierarchical ... See full document

... It would not have been possible to properly handle such a large number of submissions without the generous voluntary help from all the members of the program committee, which consists of 980 reviewers overseen by 51 area ... See full document