[PDF] Top 20 NTT’s Machine Translation Systems for WMT19 Robustness Task
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NTT’s Machine Translation Systems for WMT19 Robustness Task
... challenge to improve translation quality for low- resource language pairs and domains. Sennrich et al. (2016a) showed that training with a syn- thetic corpus, which is generated by translating a monolingual corpus ... See full document
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The MLLP UPV Spanish Portuguese and Portuguese Spanish Machine Translation Systems for WMT19 Similar Language Translation Task
... novel translation architecture in development by the MLLP ...the machine translation prob- lem with a two-dimensional view, much in the same manner as Kalchbrenner et ...that translation is ... See full document
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The TALP UPC Machine Translation Systems for WMT19 News Translation Task: Pivoting Techniques for Low Resource MT
... The available parallel Kazakh-Russian corpora for the shared task included News Commentary v14 and a crawled Russian-Kazakh corpus prepared by Bagdat Myrzakhmetov of Nazarbayev University. After concatenating the ... See full document
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NTT Neural Machine Translation Systems at WAT 2017
... In this paper, we described the systems we submit- ted to WAT 2017 shared translation tasks. We tried to make a synthetic corpus for an unreliable part of the provided corpus, and found it effectively im- ... See full document
6
NTT Neural Machine Translation Systems at WAT 2019
... our systems that were submitted to the translation shared tasks at WAT ...sub- task, where we only considered English-to- Japanese and Japanese-to-English translation ...two systems ... See full document
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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 neural ... See full document
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Baidu Neural Machine Translation Systems for WMT19
... the translation quality is affected by the original sources of the ...English→Chinese task, if the English sentences are created from native English corpus, then the corresponding Chinese sentences are ... See full document
8
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 acquiring more ... See full document
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Robust Machine Translation with Domain Sensitive Pseudo Sources: Baidu OSU WMT19 MT Robustness Shared Task System Report
... the machine translation system developed jointly by Baidu Research and Oregon State University for WMT 2019 Machine Translation Robustness Shared ...Task. Translation of ... See full document
6
Improving Robustness of Neural Machine Translation with Multi task Learning
... MT systems on natural and natural-like grammatical noise, specifically on English produced by non-native ...for machine translation, Tu et ...the translation de- ...termediate task, ... See full document
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Kingsoft’s Neural Machine Translation System for WMT19
... of machine translation a ...neural machine translation (NMT) systems which is based on the encoder-decoder frame- ...of machine translation. We partici- pated in the ... See full document
7
The University of Sydney’s Machine Translation System for WMT19
... NMT systems for WMT2019 Finnish→English news translation ...improve translation qual- ity in three levels: 1) At data level, in addition to using various data selection criteria, we proposed cycle ... See full document
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Findings of the 2019 Conference on Machine Translation (WMT19)
... Phrase-based machine translation system (implemented with Moses) and for the Spanish-Portuguese ...level translation probabilities and language model ...HI-NE translation task in both ... See full document
61
Findings of the First Shared Task on Machine Translation Robustness
... constrained systems, where the model was trained on the medical domain corpus provided by the WMT biomedical shared task 4 ...improve robustness, they introduced synthetic noise (omitting and du- ... See full document
12
CUNI System for the WMT19 Robustness Task
... Because of the large amount of training data available, even the statistical MT systems achieved high translation quality on the news domain. Be- cause of that a slightly different test set, newsdis- ... See full document
5
The MLLP UPV Supervised Machine Translation Systems for WMT19 News Translation Task
... our WMT19 submission, we trained a Transformer Big model, using the WMT19 data (including 10M filtered sentences from ParaCrawl), as well as the already mentioned 18M ... See full document
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NICT’s Unsupervised Neural and Statistical Machine Translation Systems for the WMT19 News Translation Task
... in translation quality, we can expect that the complementarity of both data will be useful to train a better NMT system in contrast to using only data generated either by USMT or ... See full document
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NICT’s Machine Translation Systems for the WMT19 Similar Language Translation Task
... backward translation systems, instead of us- ing only either forward (Marie and Fujita, 2018b) or backward translations (Artetxe et ...the systems ob- tained after the fourth refinement ... See full document
5
NICT’s Supervised Neural Machine Translation Systems for the WMT19 News Translation Task
... neural machine translation (NMT) systems that we developed for the news translation task for Kazakh↔English, Gujarati↔English, Chinese↔English, and English→Finnish translation ... See full document
7
Naver Labs Europe’s Systems for the WMT19 Machine Translation Robustness Task
... the task is to make NMT systems that are robust to noisy text found on Reddit, a social media, in two language pairs (French-English and Japanese-English) and both translation ...shared task ... See full document
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