[PDF] Top 20 Findings of the WMT 2019 Shared Task on Automatic Post Editing
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Findings of the WMT 2019 Shared Task on Automatic Post Editing
... the WMT task on MT Automatic Post- ...The task consists in automatically correcting the output of a “black-box” ma- chine translation system by learning from human ...English-German ... See full document
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Findings of the WMT 2018 Shared Task on Automatic Post Editing
... against post-edits and independent ref- ...human post- edits work reasonably well in capturing cases i)- ii) by matching APE systems’ output with human post-edits: for wrong MT output passages ...the ... See full document
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Findings of the WMT 2019 Shared Task on Parallel Corpus Filtering for Low Resource Conditions
... The Shared Task on Parallel Corpus Filtering at the Conference for Machine Translation (WMT 2019) was organized to promote research to learn- ing from noisy data more viable for low-resource ... See full document
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Findings of the WMT 2019 Shared Tasks on Quality Estimation
... There is only one dataset for this task. It is the same one used in last year’s evaluation, but with a new unseen test set and some minor changes in the annotations; last year’s test set was made available as an ... See full document
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Unbabel’s Submission to the WMT2019 APE Shared Task: BERT Based Encoder Decoder for Automatic Post Editing
... Matt Post, Raphael Rubino, Carolina Scarton, Lucia Spe- cia, Marco Turchi, Karin Verspoor, and Marcos ...2016. Findings of the 2016 conference on machine ... See full document
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The AMU UEdin Submission to the WMT 2017 Shared Task on Automatic Post Editing
... Matt Post, Raphael Rubino, Carolina Scarton, Lucia Specia, Marco Turchi, Karin Verspoor, and Marcos ...2016. Findings of the 2016 conference on machine ... See full document
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The FBK Participation in the WMT15 Automatic Post editing Shared Task
... APE task is to challenge the re- search groups to improve the MT output quality by the use of a dataset consisting of triplets of sen- tences (source, MT output, human ...lot task belongs to generic news ... See full document
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A Shared Attention Mechanism for Interpretation of Neural Automatic Post Editing Systems
... Automatic post-editing (APE) systems aim to correct the systematic errors made by machine ...a shared attention mecha- nism to better understand how the two in- puts contribute to the ... See full document
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CUNI System for WMT17 Automatic Post Editing Task
... for automatic post-editing of machine translation output, we focus on exploit- ing the potential of sequence-to-sequence neural models for this ...to WMT 2017 Auto- matic ... See full document
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MS UEdin Submission to the WMT2018 APE Shared Task: Dual Source Transformer for Automatic Post Editing
... Based on the overall weak performance for the neural sub-task, we feel justified in not investing much time into that particular sub-task. We hy- pothesize that if the same amount of effort had been put ... See full document
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Findings of the WMT 2019 Biomedical Translation Shared Task: Evaluation for MEDLINE Abstracts and Biomedical Terminologies
... the WMT Biomedical Translation task, we considered a total of six languages, namely Chinese (zh), English (en), French (fr), German (de), Portuguese (pt), and Spanish ...of automatic translations for ... See full document
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UdS Submission for the WMT 19 Automatic Post Editing Task
... The Automatic Post-Editing (APE) task is to au- tomatically correct errors in machine translation ...APE shared task at WMT ...APE task (Junczys-Dowmunt and ... See full document
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The FBK Participation in the WMT 2016 Automatic Post editing Shared Task
... and post-edits on the target side of the parallel ...the post-editing rules, and is less prone to word align- ment errors which eventually impact on the qual- ity of the post-editing ... See full document
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Apertium fin eng–Rule based Shallow Machine Translation for WMT 2019 Shared Task
... In terms of where RBMT is perhaps more us- able than NMT, one important factor is how pre- dictable and systematic the errors are when they appear. For example just looking at the first page of the top-ranking system in ... See full document
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Multi source Neural Automatic Post Editing: FBK’s participation in the WMT 2017 APE shared task
... artificial post-editing train- ing data by a round-trip translation using the sub- set of parallel data released in the medical task at WMT’14 (Bojar et ...the shared task ... See full document
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LIG CRIStAL Submission for the WMT 2017 Automatic Post Editing Task
... the shared Automatic Post- Editing task of WMT ...neural post-editing models: a mono- source model with a task-specific atten- tion mechanism, which performs ... See full document
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Findings of the WMT 2018 Biomedical Translation Shared Task: Evaluation on Medline test sets
... the automatic translation of textual documents between lan- guages and can facilitate access to information only available in a given language for non- speakers of this language, ...Translation shared ... See full document
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Improving Robustness of Neural Machine Translation with Multi task Learning
... Real world data, especially in the realm of social media, often contains noise such as mis-spellings, grammar errors, or lexical variations. Even though humans do not have much difficulty in recognizing and translating ... See full document
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MorphoLogic‘s Submission for the WMT 2009 Shared Task
... WMT09 shared transla- tion task training material but the resulting model was too big to be loaded into the 3GB RAM of the machine that we used in our ... 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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