[PDF] Top 20 Automatic Post Editing for the DiscoMT Pronoun Translation Task
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Automatic Post Editing for the DiscoMT Pronoun Translation Task
... shared task manual evaluation reveals that the post-editing process makes many ...by post-editing and only 9 ...“bad translation” cannot be commented upon further and are ex- ... See full document
7
The FBK Participation in the WMT 2016 Automatic Post editing Shared Task
... ever, this variant faces two potential problems. First, preserving the source context results in mul- tiple representations of the same mt word (each mt word can be aligned to multiple source words), causing a high ... See full document
6
CUNI System for WMT16 Automatic Post Editing and Multimodal Translation Tasks
... tion task where the vocabulary size was around 20,000 different forms for both languages, having 5 source and 5 reference sentences increased the vocabulary size more than ... See full document
9
LIG CRIStAL Submission for the WMT 2017 Automatic Post Editing Task
... machine translation (MT) as a first step, and then to manually post-edit the translation hypoth- ...Such translation workflows can result in the production of new training data, that may be ... See full document
7
Online Automatic Post editing for MT in a Multi Domain Translation Environment
... multi-domain translation environment (MDTE), where a domain is made of segments belonging to the same text genre and the MT outputs are generated by the same MT ...real-time/online translation scenarios is ... See full document
11
Findings of the WMT 2018 Shared Task on Automatic Post Editing
... “TER (pe+ref)”) and 3.22 BLEU points (from 62.99 to 66.21). Interestingly, except for one sys- tem, all the results show larger variations when computed with “BLEU (pe+ref)”, with a differ- ence of 0.97 TER points (from ... See full document
16
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 ...shared task at WMT 2019. Based on recent research on the APE task ... See full document
6
Multi Engine and Multi Alignment Based Automatic Post Editing and its Impact on Translation Productivity
... the post-editing ...hour) post-edited by each ...efficient post-editor, followed by T2, T4 and ...the post-editing job, switching among different ... See full document
12
Proceedings of the AMTA 2018 Workshop on Translation Quality Estimation and Automatic Post Editing
... in Automatic Post-Editing and why I believe that we might have reached a “Golden Age” of (neural) post-editing ...on Automatic Post-Editing and my own contributions ... See full document
7
Ensembling Factored Neural Machine Translation Models for Automatic Post Editing and Quality Estimation
... Previous work has shown that alignment informa- tion between source and target is a critical compo- nent of current state-of-the-art word level QE sys- tems (Kreutzer et al., 2015; Martins et al., 2016). The sequential ... See full document
8
Japanese to English/Chinese/Korean Datasets for Translation Quality Estimation and Automatic Post Editing
... the task of word-level QE is to pre- dict a sequence of tags with the same length as hyp, where each tag indicates how good the cor- responding word in hyp ...its post-edited version (pe) (Bojar et ... See full document
10
Findings of the WMT 2019 Shared Task on Automatic Post Editing
... WMT task on MT Automatic Post- Editing. The task consists in automatically correcting the output of a “black-box” ma- chine translation system by learning from human ... See full document
18
Combining Quality Estimation and Automatic Post editing to Enhance Machine Translation output
... be post- edited using the QE ...the task-specific ...shared task (Junczys-Dowmunt and Grundkiewicz, 2016) using the large “round-trip translation” dataset, and then adapted to task- ... See full document
13
Statistical Phrase Based Post Editing
... the post-editing process itself, at least as far as “repetitive errors” are ...automated post-editing (APE) sys- tem, which would automatically learn post-editing rules from a ... See full document
8
The AMU UEdin Submission to the WMT 2017 Shared Task on Automatic Post Editing
... This work describes the AMU-UEdin sub- mission to the WMT 2017 shared task on Automatic Post-Editing. We explore mul- tiple neural architectures adapted for the task of automatic ... See full document
8
It disambiguation and source aware language models for cross lingual pronoun prediction
... on pronoun translation, in which a com- plete machine translation pipeline is provided, has also considered different functions of the pronoun ...English-to-French automatic ... See full document
8
The FBK Participation in the WMT15 Automatic Post editing Shared Task
... a translation option present in the phrase table. For each translation option in the phrase table, all the parallel sentences are retrieved from the training set such that the source phrase of the ... See full document
6
Validation of an Automatic Metric for the Accuracy of Pronoun Translation (APT)
... noun translation (APT) had a high correlation with human judgments of correctness, over the scores of seven systems submitted to the DiscoMT 2015 shared task on pronoun-focused ...of ... See full document
9
Findings of the 2017 DiscoMT Shared Task on Cross lingual Pronoun Prediction
... the DiscoMT 2017 shared task on cross-lingual pronoun pre- ...The task asked participants to predict a target-language pronoun given a source-language pronoun in the context of a ... See full document
16
CUNI System for WMT17 Automatic Post Editing Task
... We were a little surprised that there was no im- provement when using model that learned to gen- erate post-editing operations (“Synth+editops”). When we manually examined the generated out- put, we found ... See full document
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