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        <title>Translationese: Between Human and Machine Translation</title>
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            <title>Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Tutorial Abstracts</title>
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        <name type="personal">
            <namePart type="given">Marcello</namePart>
            <namePart type="family">Federico</namePart>
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                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
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        <name type="personal">
            <namePart type="given">Akiko</namePart>
            <namePart type="family">Aizawa</namePart>
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                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
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    <abstract>Translated texts, in any language, have unique characteristics that set them apart from texts originally written in the same language. Translation Studies is a research field that focuses on investigating these characteristics. Until recently, research in machine translation (MT) has been entirely divorced from translation studies. The main goal of this tutorial is to introduce some of the findings of translation studies to researchers interested mainly in machine translation, and to demonstrate that awareness to these findings can result in better, more accurate MT systems.</abstract>
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%0 Conference Proceedings
%T Translationese: Between Human and Machine Translation
%A Wintner, Shuly
%Y Federico, Marcello
%Y Aizawa, Akiko
%S Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Tutorial Abstracts
%D 2016
%8 December
%I The COLING 2016 Organizing Committee
%C Osaka, Japan
%F wintner-2016-translationese
%X Translated texts, in any language, have unique characteristics that set them apart from texts originally written in the same language. Translation Studies is a research field that focuses on investigating these characteristics. Until recently, research in machine translation (MT) has been entirely divorced from translation studies. The main goal of this tutorial is to introduce some of the findings of translation studies to researchers interested mainly in machine translation, and to demonstrate that awareness to these findings can result in better, more accurate MT systems.
%U https://aclanthology.org/C16-3005
%P 18-19

Markdown (Informal)

[Translationese: Between Human and Machine Translation](https://aclanthology.org/C16-3005) (Wintner, COLING 2016)

• Translationese: Between Human and Machine Translation (Wintner, COLING 2016)

ACL

• Shuly Wintner. 2016. Translationese: Between Human and Machine Translation. In Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Tutorial Abstracts, pages 18–19, Osaka, Japan. The COLING 2016 Organizing Committee.