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%0 Conference Proceedings
%T 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
%A Qian, Ming
%A Liu, Jessie
%A Li, Chaofeng
%A Pals, Liming
%Y Forcada, Mikel
%Y Way, Andy
%Y Tinsley, John
%Y Shterionov, Dimitar
%Y Rico, Celia
%Y Gaspari, Federico
%S Proceedings of Machine Translation Summit XVII: Translator, Project and User Tracks
%D 2019
%8 August
%I European Association for Machine Translation
%C Dublin, Ireland
%F qian-etal-2019-comparative
%U https://aclanthology.org/W19-6714
%P 95-100

Markdown (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](https://aclanthology.org/W19-6714) (Qian et al., MTSummit 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 (Qian et al., MTSummit 2019)

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.