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[PDF] Top 20 The MLLP UPV Supervised Machine Translation Systems for WMT19 News Translation Task

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The MLLP UPV Supervised Machine Translation Systems for WMT19 News Translation Task

The MLLP UPV Supervised Machine Translation Systems for WMT19 News Translation Task

... the supervised Statis- tical Machine Translation (MT) systems devel- oped by the MLLP research group of the Univer- sitat Polit`ecnica de Val`encia for the News Trans- lation ... See full document

7

The MLLP UPV German English Machine Translation System for WMT18

The MLLP UPV German English Machine Translation System for WMT18

... statistical machine translation system built by the MLLP re- search group of Universitat Polit`ecnica de Val`encia for the German → English news trans- lation shared task of the EMNLP ... See full document

7

NTT’s Machine Translation Systems for WMT19 Robustness Task

NTT’s Machine Translation Systems for WMT19 Robustness Task

... The task focuses on the robustness of Machine Translation (MT) to noisy text that can be found on social media ...The task is more challenging than a typical machine trans- lation ... See full document

8

The TALP UPC Machine Translation Systems for WMT19 News Translation Task: Pivoting Techniques for Low Resource MT

The TALP UPC Machine Translation Systems for WMT19 News Translation Task: Pivoting Techniques for Low Resource MT

... While the English language presents simple morphology, Russian is morphologically rich and Kazakh is agglutinative. Therefore, the amount of surface forms in a word-level vocabulary of the two latter languages is very ... See full document

8

GTCOM Neural Machine Translation Systems for WMT19

GTCOM Neural Machine Translation Systems for WMT19

... neural machine translation systems for the WMT19 shared news translation ...all translation directions, we build systems mainly from data aspect, including ... See full document

6

The University of Edinburgh’s Submissions to the WMT19 News Translation Task

The University of Edinburgh’s Submissions to the WMT19 News Translation Task

... the WMT19 Shared Task on News Transla- tion in six language directions: English-Gujarati (EN ↔ GU), English-Chinese (EN ↔ ZH), German- English (DE→EN) and English-Czech ...our systems are ... See full document

13

NICT’s Unsupervised Neural and Statistical Machine Translation Systems for the WMT19 News Translation Task

NICT’s Unsupervised Neural and Statistical Machine Translation Systems for the WMT19 News Translation Task

... the WMT19 unsupervised news translation ...unsupervised translation direction: German-Czech. Our primary submission to the task is the result of a simple combination of our unsupervised ... See full document

8

The NiuTrans Machine Translation Systems for WMT19

The NiuTrans Machine Translation Systems for WMT19

... Europarl, News crawl and Wiki dumps were back-translated to strengthen the EN→LT translation quality by sampling ...Similarly, News Crawl from 2015 to 2018 were used for the reverse direc- tion ... See full document

10

Naver Labs Europe’s Systems for the WMT19 Machine Translation Robustness Task

Naver Labs Europe’s Systems for the WMT19 Machine Translation Robustness Task

... We extract noisy variants of known words from the MTNT monolingual data, thanks to French and English lexicons and an extended edit dis- tance (allowing letter swaps and letter repetitions). We also manually build a list ... See full document

7

Findings of the 2019 Conference on Machine Translation (WMT19)

Findings of the 2019 Conference on Machine Translation (WMT19)

... of machine translation qual- ity (Graham et ...of News task lan- guage pairs evaluated with relative ranking (RR) and ...absolute translation qual- ity and the ability to carry out ... See full document

61

The MLLP UPV Spanish Portuguese and Portuguese Spanish Machine Translation Systems for WMT19 Similar Language Translation Task

The MLLP UPV Spanish Portuguese and Portuguese Spanish Machine Translation Systems for WMT19 Similar Language Translation Task

... the supervised Statisti- cal Machine Translation (MT) systems developed by the MLLP research group of the Universitat Polit`ecnica de Val`encia for the Related Languages ... See full document

6

NICT’s Supervised Neural Machine Translation Systems for the WMT19 News Translation Task

NICT’s Supervised Neural Machine Translation Systems for the WMT19 News Translation Task

... We used Marian toolkit (Junczys-Dowmunt et al., 2018) 13 to build competitive NMT systems based on the Transformer (Vaswani et al., 2017) archi- tecture. We used the byte pair encoding (BPE) algorithm (Sennrich et ... See full document

7

Findings of the 2010 Joint Workshop on Statistical Machine Translation and Metrics for Machine Translation

Findings of the 2010 Joint Workshop on Statistical Machine Translation and Metrics for Machine Translation

... Table 10: Statistics for data collected on MTurk for the ranking task. In total, 55,082 rank labels were collected across the eight language pairs (145% of expert data). Each language pair had 600 sets, and we ... See full document

37

Proceedings of the First Conference on Machine Translation: Volume 1, Research Papers

Proceedings of the First Conference on Machine Translation: Volume 1, Research Papers

... Jan-Thorsten Peter, Tamer Alkhouli, Hermann Ney, Matthias Huck, Fabienne Braune, Alexander Fraser, Aleš Tamchyna, Ondˇrej Bojar, Barry Haddow, Rico Sennrich, Frédéric Blain, Lucia Specia, Jan Niehues, Alex Waibel, ... See full document

28

Baidu Neural Machine Translation Systems for WMT19

Baidu Neural Machine Translation Systems for WMT19

... Recent empirical improvements with language models have showed that unsupervised pre- training (Peters et al., 2018; Radford et al., 2018; Devlin et al., 2018; Dai et al., 2019; Sun et al., 2019) on very large corpora is ... See full document

8

Findings of the 2009 Workshop on Statistical Machine Translation

Findings of the 2009 Workshop on Statistical Machine Translation

... Tables 10 and 11 show the percent of times that the metrics’ scores were consistent with human rank- ings of every pair of translated sentences. 7 Since we eliminated sentence pairs that were judged to be equal, the ... See full document

28

Deep architectures for Neural Machine Translation

Deep architectures for Neural Machine Translation

... It has been shown that increasing model depth improves the quality of neural ma- chine translation. However, different architectural variants to increase model depth have been proposed, and so far, there has been ... See full document

9

NICT’s Neural and Statistical Machine Translation Systems for the WMT18 News Translation Task

NICT’s Neural and Statistical Machine Translation Systems for the WMT18 News Translation Task

... NMT systems trained on the mix- ture of the synthetic and original parallel data, we back-translate a larger number of monolingual sentences, including the same sentences back- translated at the first ...NMT ... See full document

7

The TALP UPC Machine Translation Systems for WMT18 News Shared Translation Task

The TALP UPC Machine Translation Systems for WMT18 News Shared Translation Task

... training systems on the individual language datasets and also on the combined datasets (as described in sec- tion 5), and comparing their translation ... See full document

6

Proceedings of the Third Conference on Machine Translation: Research Papers

Proceedings of the Third Conference on Machine Translation: Research Papers

... Statistical Machine Translation was held at ACL 2007 in Prague, Czech Republic, ACL 2008, Columbus, Ohio, USA, EACL 2009 in Athens, Greece, ACL 2010 in Uppsala, Sweden, EMNLP 2011 in Edinburgh, Scotland, ... See full document

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