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        <title>From Fidelity to Fluency: Natural Language Processing for Translator Training</title>
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            <namePart type="given">Yuen-Hsien</namePart>
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    <abstract>This study explores the use of natural language processing techniques to enhance bilingual lexical access beyond simple equivalents, to enable translators to navigate along a wider cross-lingual lexical space and more examples showing different translation strategies, which is essential for them to learn to produce not only faithful but also fluent translations.</abstract>
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%0 Conference Proceedings
%T From Fidelity to Fluency: Natural Language Processing for Translator Training
%A Kwong, Oi Yee
%Y Tseng, Yuen-Hsien
%Y Chen, Hsin-Hsi
%Y Ng, Vincent
%Y Komachi, Mamoru
%S Proceedings of the 5th Workshop on Natural Language Processing Techniques for Educational Applications
%D 2018
%8 July
%I Association for Computational Linguistics
%C Melbourne, Australia
%F kwong-2018-fidelity
%X This study explores the use of natural language processing techniques to enhance bilingual lexical access beyond simple equivalents, to enable translators to navigate along a wider cross-lingual lexical space and more examples showing different translation strategies, which is essential for them to learn to produce not only faithful but also fluent translations.
%R 10.18653/v1/W18-3719
%U https://aclanthology.org/W18-3719
%U https://doi.org/10.18653/v1/W18-3719
%P 130-134

Markdown (Informal)

[From Fidelity to Fluency: Natural Language Processing for Translator Training](https://aclanthology.org/W18-3719) (Kwong, NLP-TEA 2018)

• From Fidelity to Fluency: Natural Language Processing for Translator Training (Kwong, NLP-TEA 2018)

ACL

• Oi Yee Kwong. 2018. From Fidelity to Fluency: Natural Language Processing for Translator Training. In Proceedings of the 5th Workshop on Natural Language Processing Techniques for Educational Applications, pages 130–134, Melbourne, Australia. Association for Computational Linguistics.