[PDF] Top 20 Ensembling Factored Neural Machine Translation Models for Automatic Post Editing and Quality Estimation
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Ensembling Factored Neural Machine Translation Models for Automatic Post Editing and Quality Estimation
... recurrent models in existing work obtain the source-side features for each target word using the word-alignments pro- vided by the WMT task ...for Quality Estimation, and the use of this information ... See full document
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Proceedings of the AMTA 2018 Workshop on Translation Quality Estimation and Automatic Post Editing
... of quality estimation is to evaluate a translation system’s quality without access to reference translations (Blatz et ...a translation is ready for publishing or if it requires human ... See full document
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Combining Quality Estimation and Automatic Post editing to Enhance Machine Translation output
... combining quality estimation (QE) and automatic post- editing (APE) to improve the output of machine translation (MT) ...output quality are used to trigger its ... See full document
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Automatic Post Editing and Machine Translation Quality Estimation at eBay
... Proceedings for AMTA 2018 Workshop: Translation Quality Estimation and Automatic Post-Editing Boston, March 21, 2018 | Page 1.. Nicola Ueffing • Research scientist on eBay‘s machine tran[r] ... See full document
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Japanese to English/Chinese/Korean Datasets for Translation Quality Estimation and Automatic Post Editing
... on quality estimation (QE) and automatic post-editing (APE) of machine translation (MT) outputs, especially for those among Asian languages, we have created new datasets ... See full document
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Are we experiencing the Golden Age of Automatic Post Editing?
... Proceedings for AMTA 2018 Workshop: Translation Quality Estimation and Automatic Post-Editing Boston, March 21, 2018 | Page 179.. hard monotonic attention.[r] ... See full document
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Proceedings of the Second Conference on Machine Translation
... three translation tasks: Machine Translation of News, Biomedical Translation, and Multimodal Machine Translation, two evaluation tasks: Metrics and Quality ... See full document
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Proceedings of the Third Conference on Machine Translation: Research Papers
... three translation tasks: Machine Translation of News, Biomedical Translation, and Multimodal Machine Translation, two evaluation tasks: Metrics and Quality ... See full document
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Neural Post Editing Based on Quality Estimation
... Automatic post-editing (APE) is a challenging task on WMT evaluation ...most machine translation outputs, through analysis of the training set of WMT17 APE en-de ...two neural ... See full document
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Unbabel: How to combine AI with the crowd to scale professional quality translation
... Proceedings for AMTA 2018 Workshop: Translation Quality Estimation and Automatic Post-Editing Boston, March 21, 2018 | Page 41.. Proceedings for AMTA 2018 Workshop: Translation Quality E[r] ... See full document
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Challenges in Adaptive Neural Machine Translation
... Proceedings for AMTA 2018 Workshop: Translation Quality Estimation and Automatic Post-Editing Boston, March 21, 2018 | Page 207.. Symbiotic Human and Machine Translation.[r] ... See full document
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Log linear Combinations of Monolingual and Bilingual Neural Machine Translation Models for Automatic Post Editing
... on machine translation output and its post-edited ver- ...the automatic post- editing results (B´echara et ...The quality of the word alignments plays an important role ... See full document
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The Karlsruhe Institute of Technology Systems for the News Translation Task in WMT 2016
... 2007) as a potential mean to improve discrete lan- guage models. More recently, these techniques have been applied to statistical machine transla- tion in order to estimate continuous-space trans- lation ... See full document
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Automatic Post Editing for the DiscoMT Pronoun Translation Task
... 2) Translation is another pronoun: If an in- stance of “it” is translated as a pronoun outwith the set “ce/c’/il”, it will be corrected to the default “ce” (or “c’ ” if the next word in the SMT out- put starts ... See full document
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Automatic Detection of Machine Translated Text and Translation Quality Estimation
... of machine translated text, Carter and Inkpen (2012) translated the Hansards of the 36th Parliament of Canada us- ing the Microsoft Bing MT web service, and conducted three detection experiments at docu- ment ... See full document
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Improving CAT Tools in the Translation Workflow: New Approaches and Evaluation
... to post-edit on the chosen TM ...the post-editing activities and records detailed logs in well structured XML format which is beneficial for incremental MT/APE and translation process ... See full document
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Effort Aware Neural Automatic Post Editing
... monolingual translation task and be addressed with different MT solutions (Simard et ...in neural MT (NMT), with two encoders to encode both source text and MT ...to post- edit the output of ... See full document
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PET: a Tool for Post-editing and Assessing Machine Translation
... Virtual Machine. For post-editing, the in- terface displays source and target language texts in two ...its translation. For translation, the right hand side column is ... See full document
6
Improving Machine Translation Quality Estimation with Neural Network Features
... two translation directions: English to German (en-de) and German to English ...an estimation index for the translation quality of each training set and development ... See full document
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Post Editing System For Statistical Machine Translation
... Statistical Machine Translation System starts with the collection of training ...Further, automatic training of MT system is carried ...of machine translation that will not accurate one ... See full document
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