A Comparative Study of English-Chinese Translations of Court Texts by Machine and Human Translators and the Word2Vec Based Similarity Measure’s Ability To Gauge Human Evaluation Biases - ACL Anthology

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A Comparative Study of English-Chinese Translations of Court Texts by Machine and Human Translators and the Word2Vec Based Similarity Measure’s Ability To Gauge Human Evaluation Biases

Ming Qian, Jessie Liu, Chaofeng Li, Liming Pals

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Anthology ID:: W19-6714
Volume:: Proceedings of Machine Translation Summit XVII: Translator, Project and User Tracks
Month:: August
Year:: 2019
Address:: Dublin, Ireland
Editors:: Mikel Forcada, Andy Way, John Tinsley, Dimitar Shterionov, Celia Rico, Federico Gaspari
Venue:: MTSummit
SIG:
Publisher:: European Association for Machine Translation
Note:
Pages:: 95–100
Language:
URL:: https://aclanthology.org/W19-6714
DOI:
Bibkey:
Cite (ACL):: Ming Qian, Jessie Liu, Chaofeng Li, and Liming Pals. 2019. A Comparative Study of English-Chinese Translations of Court Texts by Machine and Human Translators and the Word2Vec Based Similarity Measure’s Ability To Gauge Human Evaluation Biases. In Proceedings of Machine Translation Summit XVII: Translator, Project and User Tracks, pages 95–100, Dublin, Ireland. European Association for Machine Translation.
Cite (Informal):: A Comparative Study of English-Chinese Translations of Court Texts by Machine and Human Translators and the Word2Vec Based Similarity Measure’s Ability To Gauge Human Evaluation Biases (Qian et al., MTSummit 2019)
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PDF:: https://preview.aclanthology.org/teach-a-man-to-fish/W19-6714.pdf