[PDF] Top 20 The AMU UEdin Submission to the WMT 2017 Shared Task on Automatic Post Editing
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The AMU UEdin Submission to the WMT 2017 Shared Task on Automatic Post Editing
... the submission we performed a number of in-depth experiments to verify our intuitions about the se- lected models for a better controlled data ...the WMT 2016 shared task on APE and test on ... See full document
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Multi source Neural Automatic Post Editing: FBK’s participation in the WMT 2017 APE shared task
... tomatic Post-editing (APE) have shown that the dependency of MT errors from the source sentence can be exploited by jointly learning from source and target informa- ...the WMT 2017 APE ... See full document
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A Shared Attention Mechanism for Interpretation of Neural Automatic Post Editing Systems
... Helcl, 2017) (Equation ...al., 2017) and other participants of the WMT 17 APE shared task 3 were able to achieve higher accuracies by using 4 million ar- tificial training ... See full document
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The FBK Participation in the WMT 2016 Automatic Post editing Shared Task
... In this system description paper, we discussed the potential strength and weakness of the two phrase- based APE variants (monolingual and context- aware) and showed that their complementarity can be leveraged by ... See full document
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Unbabel’s Submission to the WMT2019 APE Shared Task: BERT Based Encoder Decoder for Automatic Post Editing
... Moreover, in order to apply the penalty in the log probabilities, there are some considerations to take into account as we don’t renormalize af- ter the transformation. For positive values, the factor lowers the ... See full document
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Findings of the WMT 2018 Shared Task on Automatic Post Editing
... al., 2017), which was modified to incorporate multi- ple encoders, thereby leveraging information also from the source ...(Hokamp, 2017), the system exploits minimum- risk training for fine-tuning (Shen et ... See full document
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FBK UEdin Participation to the WMT13 Quality Estimation Shared Task
... the WMT 2013 Quality Estimation ...sentence-level post-editing time (Task ...as automatic word alignment, n-best candidate transla- tion lists, back-translations and word pos- terior ... 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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The UPC Submission to the WMT 2012 Shared Task on Quality Estimation
... the WMT 2012 shared task on Quality Estimation for Machine ...with post-editing effort, we present a set of features for the assessment of quality estima- tion for machine translation ... See full document
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Findings of the WMT 2019 Shared Task on Automatic Post Editing
... of post-editing. Three different to- kens are used, namely “no post-edit” (no edits are required), “light post-edit” (minimal edits are re- quired), and “heavy post-edit” (a large ... See full document
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UdS Submission for the WMT 19 Automatic Post Editing Task
... from post- editors), potentially because Negri et ...few post-editing actions are normally re- quired due to the good translation quality of neu- ral machine translation (Bahdanau et ...al., ... See full document
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LIG CRIStAL Submission for the WMT 2017 Automatic Post Editing Task
... Another direction that we may investigate, is how we obtain sequences of edit operations (from PE data in another form). Our edit operations are extracted artificially by taking the shortest edit path between MT and PE. ... See full document
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MS UEdin Submission to the WMT2018 APE Shared Task: Dual Source Transformer for Automatic Post Editing
... (UEdin) submission to the Automatic Post-editing shared task at WMT2018 (Chatterjee et ...WMT2017 shared task (Bo- jar et al., 2017), we re-implement ... See full document
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Edinburgh’s Submission to all Tracks of the WMT 2009 Shared Task with Reordering and Speed Improvements to Moses
... Edinburgh University participated in the WMT 2009 shared task using the Moses phrase-based statistical machine transla- tion decoder, building systems for all lan- guage pairs. The system ... See full document
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Feature Enriched Character Level Convolutions for Text Regression
... the WMT shared tasks have steadily improved in recent ...of WMT 2014 and 15, which managed to reach the top of the ranks by employing Referential Translation Machines trained with SVMs for re- ... See full document
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LIMSI Submission for WMT’14 QE Task
... The features and learning strategies described in the two previous sections were evaluated on the English to Spanish datasets. As no official devel- opment set was provided by the shared task orga- nizers, ... See full document
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Automatic Post Editing for the DiscoMT Pronoun Translation Task
... An examination of the human judgements from the shared task manual evaluation reveals that the post-editing process makes many mistakes. 34 in- stances were worsened by ... See full document
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The ILSP/ARC submission to the WMT 2018 Parallel Corpus Filtering Shared Task
... ity scores will be done by subsampling 10m and 100m [EN] word corpora based on these scores, training statistical and neural machine translation systems with these corpora, and evaluating trans- lation quality on blind ... See full document
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The ILSP/ARC submission to the WMT 2016 Bilingual Document Alignment Shared Task
... Center submission for the WMT 2016 Bilingual Document Alignment shared ...the task. On the test dataset, our submission achieved a recall of ... See full document
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FBK UPV UEdin participation in the WMT14 Quality Estimation shared task
... We train models on different combinations of fea- ture groups (described in Section 2.1). Experi- ments results are summarized in Table 1. We have results with baseline features for both SVR and the ET models. For ... See full document
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