[PDF] Top 20 Experiments in Medical Translation Shared Task at WMT 2014
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Experiments in Medical Translation Shared Task at WMT 2014
... Ceaus¸u et al. (2011) also found that long-range re- ordering is one of the characteristics of patent doc- uments; however, long-range reordering increases the difficulty of SMT training and decoding. We experimented two ... See full document
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Stanford University’s Submissions to the WMT 2014 Translation Task
... We thank Michael Kayser and Thang Luong for help with experiments. This work was supported by the Defense Advanced Research Projects Agency (DARPA) Broad Operational Language Translation (BOLT) program ... See full document
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The KIT LIMSI Translation System for WMT 2014
... During the training step, the SOUL translation models are trained as described in (Le et al., 2012a). The main changes concern the inference step. Given the computational cost of computing n-gram probabilities ... See full document
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The DCU ICTCAS MT system at WMT 2014 on German English Translation Task
... preliminary experiments, we take newstest 2013 as our test data and newstest 2008-2012 as our development ...Yuret, 2014) to select 2000 sentences as our development ... See full document
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DCU Lingo24 Participation in WMT 2014 Hindi English Translation task
... 5. Using the real vectors obtained in the above steps, obtain the linear mapping between the dictionary items in two continuous spaces us- ing canonical component analysis (CCA). In our experiments we use U the ... See full document
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Findings of the WMT 2019 Biomedical Translation Shared Task: Evaluation for MEDLINE Abstracts and Biomedical Terminologies
... Mikolov, 2014) for sentence representa- tion and scoring formulas based on the cosine sim- ilarity, and the third method focuses on the relative differences between term ... See full document
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LMU Munich’s Neural Machine Translation Systems for News Articles and Health Information Texts
... machine translation (SMT) systems for various language pairs, ...in WMT machine translation shared tasks in recent years (Bojar et ...2015, 2014, 2013), competing (and also collabo- ... See full document
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Findings of the WMT 2017 Biomedical Translation Shared Task
... and Kneser-Ney discounting were used to estimate 5-gram language models (LM). For word align- ment, GIZA++ with the default grow-diag-final- and alignment symmetrization method was used. Tuning of the SMT systems was ... See full document
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LIMSI Submission for WMT’14 QE Task
... the WMT’14 Shared Task on Qual- ity Estimation; we took part to the word- level quality estimation task for English to Spanish ...of task, when only a few dense and continuous fea- ... See full document
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Tilde’s Machine Translation Systems for WMT 2017
... machine translation (NMT) systems achieved significantly better results than statistical machine translation (SMT) systems for most of the trans- lation directions in the news translation ... See full document
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The University of Illinois submission to the WMT 2015 Shared Translation Task
... year’s WMT translation task, Finnish-English was introduced as a lan- guage pair of competition for the first ...present experiments examining sev- eral variations on a morphologically-aware ... See full document
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Findings of the WMT 2018 Biomedical Translation Shared Task: Evaluation on Medline test sets
... machine translation (MT) systems are in high ...2018), medical documents and glos- saries for Spanish/English (Villegas et ...automatic translation of biomedical publications for any language ... See full document
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Apertium fin eng–Rule based Shallow Machine Translation for WMT 2019 Shared Task
... easy to gather from the text, and for English and bilingual dictionaries no further classification is necessary; for the Finnish dictionary entry gener- ation, paradigm guessing is necessary, although the paradigms used ... See full document
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Marian: Fast Neural Machine Translation in C++
... Machine Translation framework written in pure C++ with minimal ...main translation and training engine behind the neural MT launch at the World Intellectual Property ... See full document
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The Universitat d’Alacant hybrid machine translation system for WMT 2011
... 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
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MorphoLogic‘s Submission for the WMT 2009 Shared Task
... Hallja. He/she/it hears him/her/it. Fred hallja a doktort. Fred hears the doctor. For single verb forms the MetaMorpho parser only generates English phrases that contain sub- ject pronouns (and in the case of a ... See full document
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PROMT Systems for WMT 2019 Shared Translation Task
... validation translation less frequently and set a higher early- stopping threshold to allow the model iterate over the training data a bit longer; 2) we do not use shared vocabulary for the English-Russian ... See full document
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Neural Post Editing Based on Quality Estimation
... APE (Pal et al., 2016). Compared with the tradi- tional statistical post-editing approaches, their approach gained more improvement. In the light of the context information of the translation, Pecina et al. ... See full document
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PROMT Systems for WMT 2018 Shared Translation Task
... support shared embeddings so despite the fact that both source (RBMT translations) and target (human translations) data is encoded in Cyrillic we train separate BPE ... See full document
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Findings of the WMT 2018 Shared Task on Quality Estimation
... Referential Translation Machine (RTM) approach (Bic¸ici, ...data translation between the instances in the training set and the test set using inter- pretants, data close to the task ...prediction ... See full document
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