[PDF] Top 20 A Shared Attention Mechanism for Interpretation of Neural Automatic Post Editing Systems
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A Shared Attention Mechanism for Interpretation of Neural Automatic Post Editing Systems
... flat attention of (Li- bovick`y and Helcl, 2017) (Equation ...APE shared task 3 were able to achieve higher accuracies by using 4 million ar- tificial training ... See full document
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Proceedings of the 2nd Workshop on Neural Machine Translation and Generation
... Poster Session A Shared Attention Mechanism for Interpretation of Neural Automatic Post-Editing Systems Inigo Jauregi Unanue, Ehsan Zare Borzeshi and Massimo Piccardi Iterative Back-Tran[r] ... See full document
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Neural Automatic Post Editing Using Prior Alignment and Reranking
... Our neural model of APE is based on the work described in Cohn et ...recurrent neural network (RNN) MT model (Bahdanau et ...performing neural APE (Junczys-Dowmunt and Grundkiewicz, 2016) on the WMT ... See full document
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Multi source Neural Automatic Post Editing: FBK’s participation in the WMT 2017 APE shared task
... APE systems that learn from source and MT text to- gether in order to increase robustness and preci- ...APE shared task, our primary submissions achieved significant im- provements over the task baselines, ... See full document
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Multi encoder Transformer Network for Automatic Post Editing
... 2018 shared task on Automatic Post-Editing ...new neural end-to-end post-editing model based on the transformer ...encoder-decoder attention to reflect the relation ... See full document
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The FBK Participation in the WMT 2016 Automatic Post editing Shared Task
... using neural approach is much better than statistical ones, and iii) the best LM combination achieves ...the shared task were similar with a significant improvement of ... See full document
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An Exploration of Neural Sequence to Sequence Architectures for Automatic Post Editing
... APE shared task two systems relied on neural models, the CUNI sys- tem (Libovický et ...the shared task winner, the system submitted by the AMU team (Junczys-Dowmunt and Grundkiewicz, ...Two ... See full document
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MS UEdin Submission to the WMT2018 APE Shared Task: Dual Source Transformer for Automatic Post Editing
... the neural sub-task, we feel justified in not investing much time into that particular ...APE systems that were submitted to the task, none of the submissions (including our own) would have been able to ... See full document
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The AMU UEdin Submission to the WMT 2017 Shared Task on Automatic Post Editing
... two systems relied on neural models, the CUNI system (Libovický et ...the shared task winner, the sys- tem submitted by the Adam Mickiewicz Univer- sity (AMU) team (Junczys-Dowmunt and Grund- ... See full document
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Log linear Combinations of Monolingual and Bilingual Neural Machine Translation Models for Automatic Post Editing
... stead, attention models learn to look at particular word states at any position within the source sen- ...APE systems relying on neural translation models seem to have been ... See full document
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Learning to Copy for Automatic Post Editing
... Automatic post-editing (APE), which aims to correct errors in the output of machine trans- lation systems in a post-processing step, is an important task in natural language ...using ... See full document
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Findings of the WMT 2018 Shared Task on Automatic Post Editing
... near-perfect) automatic transla- tions can drastically reduce the number of learned correction ...top neural systems achieved significant improvements over the baseline ... See full document
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Transformer based Automatic Post Editing Model with Joint Encoder and Multi source Attention of Decoder
... 2019 shared task on Au- tomatic Post-Editing ...multi-source attention layers to compute attention between two outputs of the en- coder and the decoder state in the ... See full document
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Unbabel’s Submission to the WMT2019 APE Shared Task: BERT Based Encoder Decoder for Automatic Post Editing
... APE systems for this domain; ii) the data weighting mechanism enforces the system to be more conservative and learn fewer edits which is crucial for strong spe- cialized NMT engines, and, finally, iii) the ... See full document
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Findings of the WMT 2019 Shared Task on Automatic Post Editing
... a neural APE sys- tem; and ii) assessing whether an SMT-based ap- proach can be effective for post-editing NMT out- ...The neural APE system exploits a multi- source approach based on ...the ... See full document
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Effort Aware Neural Automatic Post Editing
... APE shared task (Chatterjee et al., 2018a), the top-ranked systems (Tebbifakhr et ...in neural MT (NMT), with two encoders to encode both source text and MT ...these systems to post- ... See full document
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Efficient Large Scale Neural Domain Classification with Personalized Attention
... a shared hierarchical encoder, but their hierarchical softmax-based output formu- lation is unsuitable for incremental model ...The attention-based approach of Kim et ... See full document
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Neural Post Editing Based on Quality Estimation
... specific neural post-editing (NPE) models in term of the edit numbers, and select the best model by machine translation quality estima- tion ... See full document
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Fine grained evaluation of Quality Estimation for Machine translation based on a linguistically motivated Test Suite
... ular expressions, developed and tested on the first translation outputs, are afterwards applied to all the alternative translation outputs (stage d) to ac- quire the automatic labels (stage e). Further mod- ... See full document
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USAAR: An Operation Sequential Model for Automatic Statistical Post Editing
... the post-edited translation process as a lin- ear sequence of operations such as lexical gen- eration of post-edited translation and their order- ... See full document
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