[PDF] Top 20 Edinburgh’s Phrase based Machine Translation Systems for WMT 14

... Russian-English systems performed badly on the human ...transliteration phrase-tables for trans- lating OOV words and used the post-decoding method (Method 2 as described in the paper) to translate ... See full document

... To Russian. For the English→Russian system, we used all the parallel data specified in the task. The Wiki Headlines data was appended onto the combined parallel corpus. For the monolingual corpora, we used all the ... See full document

... The results of our experiments are shown in Ta- ble 1. These results are the official shared task evaluation results on the test data, and the scores for all of the evaluation metrics are shown in the table. The reader ... 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

... Neural machine translation (NMT) is a rapidly changing research ...NMT systems first showed to achieve significantly bet- ter results than statistical machine translation (SMT) ... See full document

... Class- based language models (Brown et ...the WMT 2014 shared transla- tion task (Common Crawl, News Commen- tary, Wiki Headlines and Yandex corpora) in addition to the shared task English monolin- gual ... See full document

... MT systems for wmt17. In Proceedings of the Sec- ond Conference on Machine Translation, Volume 2: Shared Task Papers, pages 389–399, Copenhagen, ... See full document

... In our submissions for WMT 2018, we intro- duced an automatic named entity (NE) post- editing (ANEPE) workflow (Pinnis et al., 2018a), which allowed to fix translations of NEs (con- sisting of one word) and ... See full document

... As discussed in the introduction, we intend to use the pivot strategies in a situation where a very limited amount of parallel text is available. The use of the Europarl corpus is not an accu- rate simulation of the ... See full document

... rule- based translation ...system based on Moses were ...SMT systems. The translation model was trained on the Europarl, the news-commentary and the extracted AFP bi- ...SPE ... See full document

... TALP-UPC phrase- based translation system developed for the EACL- WMT 2009 evaluation ...are translation models interpola- tion done in linear way and combination of SMT systems ... See full document

... years, machine translation (MT) has benefited a lot from the advancement of automatic evaluation which, compared with manual evaluation, can give quick and objective feedback on the quality of ...MT ... See full document

... Neural Machine Translation systems of Xiamen University for the translation tasks of WMT ...Our systems are based on the Encoder-Decoder framework with ...news ... See full document

... To alleviate this problem, Liu et al. (2016) pro- posed a method that re-ranks an n-best hypothe- sis generated by the Left-to-Right (L2R) model, which generates a sentence from its beginning (left) to its end (right), ... 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 the same ... See full document

... normalised translation cost (re- turned by the decoder) inferior to a ...the translation output come from the translation model, but they contain new combina- tions (phrases) of known words, and ... See full document

... 2.3 Very Large Target Vocabulary Extension Training an RNNsearch model with hundreds of thousands of target words easily becomes pro- hibitively time-consuming due to the normaliza- tion constant in the softmax output ... See full document

... chine translation systems to aid this ...rule- based machine translation output can be detected due to certain word choices, and machine transla- tion output due to lack of ... See full document

... Synthetic translation option generation seeks to fill these gaps using secondary generation processes that exploit existing phrase pairs to produce plausible phrase translation alter- natives ... See full document

... the phrase table are extracted from the parallel training data with Moses’ default settings: a maximum of five symbols on the source side, a maximum span of ten words, and no right-hand side non-terminal at gaps ... See full document