@inproceedings{qian-etal-2019-comparative,
    title = "A Comparative Study of {E}nglish-{C}hinese Translations of Court Texts by Machine and Human Translators and the {W}ord2{V}ec Based Similarity Measure{'}s Ability To Gauge Human Evaluation Biases",
    author = "Qian, Ming  and
      Liu, Jessie  and
      Li, Chaofeng  and
      Pals, Liming",
    editor = "Forcada, Mikel  and
      Way, Andy  and
      Tinsley, John  and
      Shterionov, Dimitar  and
      Rico, Celia  and
      Gaspari, Federico",
    booktitle = "Proceedings of Machine Translation Summit XVII: Translator, Project and User Tracks",
    month = aug,
    year = "2019",
    address = "Dublin, Ireland",
    publisher = "European Association for Machine Translation",
    url = "https://preview.aclanthology.org/iwcs-25-ingestion/W19-6714/",
    pages = "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://preview.aclanthology.org/iwcs-25-ingestion/W19-6714/) (Qian et al., MTSummit 2019)
ACL