[PDF] Top 20 Findings of the Third Shared Task on Multimodal Machine Translation
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Findings of the Third Shared Task on Multimodal Machine Translation
... Multisource Task (1b), only the English source is presented. For the evaluation task, the image was shown along with the source sentence and the candidate ...each translation candidate ranges from 0 ... See full document
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Findings of the Second Shared Task on Multimodal Machine Translation and Multilingual Image Description
... — Task 1 The baseline system for the multimodal translation task is a text-only neural machine translation system built with the Nema- tus toolkit (Sennrich et ...— Task 2 ... See full document
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Deep architectures for Neural Machine Translation
... 2016. Findings of the 2016 Conference on Machine Translation ...on Machine Translation, Vol- ume 2: Shared Task ... See full document
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Proceedings of the First Conference on Machine Translation: Volume 1, Research Papers
... 10 shared tasks. This consisted of five translation tasks: Machine Translation of News, Machine Translation of IT domain, Biomedical Translation, Multimodal ... See full document
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Sheffield MultiMT: Using Object Posterior Predictions for Multimodal Machine Translation
... a prediction is considered correct if the gold stan- dard category is within a system’s top 5 guesses), it is worth noting that the model is built for and tuned to the 1,000 categories of ILSVRC, some of which include ... See full document
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Findings of the 2015 Workshop on Statistical Machine Translation
... APE shared task LIMSI submitted two systems (Wisniewski et ...APE task as a monolingual translation between a transla- tion hypothesis and its ... See full document
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Proceedings of the Third Conference on Machine Translation: Research Papers
... 8 shared tasks. This consisted of three translation tasks: Machine Translation of News, Biomedical Translation, and Multimodal Machine Translation, two evaluation ... See full document
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Proceedings of the Second Conference on Machine Translation
... 8 shared tasks. This consisted of three translation tasks: Machine Translation of News, Biomedical Translation, and Multimodal Machine Translation, two evaluation ... See full document
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Findings of the 2017 Conference on Machine Translation (WMT17)
... APE task primary evaluation ...English-German task where: i) two mid-ranked primary submissions (USAAR and JXNU) are inversely ordered by the two met- rics, and ii) the phrase-based APE (worse in terms of ... See full document
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Findings of the 2016 Conference on Machine Translation
... achieved third place in the scoring and second place in the ranking task variants according to the official evaluation ...QE task is based on imitation learning, an approach that treats structured ... See full document
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Findings of the First Shared Task on Machine Translation Robustness
... source, translation, which they created by data augmentation over the provided data, using tag-informed translation sys- tems trained on either noisy (MTNT) or clean (Eu- roparl) ... See full document
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A Shared Task on Multimodal Machine Translation and Crosslingual Image Description
... Including multimodal features ...in Task 1, where the overall rank- ing trend for all metrics is ...in Task 2 is due to the different ways in which these metrics use multi- ple references (which are ... See full document
11
Sheffield Submissions for WMT18 Multimodal Translation Shared Task
... timodal Machine Translation shared ...For task 1, we build on a standard sequence to sequence attention-based neural machine translation system (NMT) and investigate the utility ... See full document
8
Multi encoder Transformer Network for Automatic Post Editing
... multi-source translation problem, all of the sources and the target are assumed to be a dif- ferent representation of a common abstracted ...the machine trans- lation output is considered to have systematic ... See full document
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Results from the ML4HMT 12 Shared Task on Applying Machine Learning Techniques to Optimise the Division of Labour in Hybrid Machine Translation
... explore machine learning techniques to explore the additional meta-data information sources, other approaches aimed at general improvements in hybrid and combination based MT are welcome to participate in the ... See full document
6
Yandex School of Data Analysis Machine Translation Systems for WMT13
... statistical machine translation (SMT) systems developed at Yandex School of Data Analysis for the shared translation task of the ACL 2013 Eighth Workshop on Statistical Machine ... See full document
5
A Transformer Based Multi Source Automatic Post Editing System
... ferent translation outputs. Taking into account all these generated translation outputs, we implement an ensemble technique based on the frequency of occurrence of the output ... See full document
9
LIMSI’s participation to the 2013 shared task on Native Language Identification
... This paper describes LIMSI’s participation to the first shared task on Native Language Iden- tification. Our submission uses a Maximum Entropy classifier, using as features character and chunk n-grams, ... See full document
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Tilde’s Machine Translation Systems for WMT 2019
... For data filtering, we applied the parallel data fil- tering methods of Tilde MT (Pinnis et al., 2018b; Pinnis, 2018) for both constrained and uncon- strained systems. The filters address potential is- sues that arise ... See full document
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Reproducible Results in Parsing Based Machine Translation: The JHU Shared Task Submission
... In all experiments, only data freely available for download was used. No restricted data from the LDC or other sources was used. Table 1 lists the parallel corpora used in training the translation model for each ... See full document
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