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        <title>Automatic Post-Editing of Machine Translation: A Neural Programmer-Interpreter Approach</title>
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    <name type="personal">
        <namePart type="given">Thuy-Trang</namePart>
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        <namePart type="given">Gholamreza</namePart>
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            <title>Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing</title>
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            <namePart type="given">Ellen</namePart>
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            <namePart type="given">David</namePart>
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    <abstract>Automated Post-Editing (PE) is the task of automatically correct common and repetitive errors found in machine translation (MT) output. In this paper, we present a neural programmer-interpreter approach to this task, resembling the way that human perform post-editing using discrete edit operations, wich we refer to as programs. Our model outperforms previous neural models for inducing PE programs on the WMT17 APE task for German-English up to +1 BLEU score and -0.7 TER scores.</abstract>
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    <identifier type="doi">10.18653/v1/D18-1341</identifier>
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        <date>2018-oct-nov</date>
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%0 Conference Proceedings
%T Automatic Post-Editing of Machine Translation: A Neural Programmer-Interpreter Approach
%A Vu, Thuy-Trang
%A Haffari, Gholamreza
%Y Riloff, Ellen
%Y Chiang, David
%Y Hockenmaier, Julia
%Y Tsujii, Jun’ichi
%S Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
%D 2018
%8 oct nov
%I Association for Computational Linguistics
%C Brussels, Belgium
%F vu-haffari-2018-automatic
%X Automated Post-Editing (PE) is the task of automatically correct common and repetitive errors found in machine translation (MT) output. In this paper, we present a neural programmer-interpreter approach to this task, resembling the way that human perform post-editing using discrete edit operations, wich we refer to as programs. Our model outperforms previous neural models for inducing PE programs on the WMT17 APE task for German-English up to +1 BLEU score and -0.7 TER scores.
%R 10.18653/v1/D18-1341
%U https://aclanthology.org/D18-1341
%U https://doi.org/10.18653/v1/D18-1341
%P 3048-3053

Markdown (Informal)

[Automatic Post-Editing of Machine Translation: A Neural Programmer-Interpreter Approach](https://aclanthology.org/D18-1341) (Vu & Haffari, EMNLP 2018)

• Automatic Post-Editing of Machine Translation: A Neural Programmer-Interpreter Approach (Vu & Haffari, EMNLP 2018)

ACL

• Thuy-Trang Vu and Gholamreza Haffari. 2018. Automatic Post-Editing of Machine Translation: A Neural Programmer-Interpreter Approach. In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, pages 3048–3053, Brussels, Belgium. Association for Computational Linguistics.