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【限时资源,期刊全文】Machine Translation《机器翻译》2019年论文集-共17篇论文(侵删)

1022 阅读 12 下载 2020-06-24 18:14:03 上传 11.12 MB

本期推送的是ESCI期刊——Machine Translation《机器翻译》2019年论文集、即第33卷第1-4期共17篇论文,其中目录可在正文中查看,全文可以点击文末附件列表下载,下载链接即日起三天内有效,失效

Machine Translation《机器翻译》2019年论文集-共17篇论文(侵删)

资料整理:张明辉(微信:zhangxiaojian160408)

(下载链接三天内有效,失效后请联系小编微信索

卷号期号论文号论文题目
Vol. 33Issue 1-2Article 01Editors’ foreword to the special issue on human factors in neural machine translation
Vol. 33Issue 1-2Article 02Post-editing neural machine translation versus phrase-based machine translation for English–Chinese
Vol. 33Issue 1-2Article 03Post-editing neural machine translation versus translation memory segments
Vol. 33Issue 1-2Article 04A product and process analysis of post-editor corrections on neural, statistical and rule-based machine translation output
Vol. 33Issue 1-2Article 05Multi-modal indicators for estimating perceived cognitive load in post-editing of machine translation
Vol. 33Issue 1-2Article 06Interactive adaptive SMT versus interactive adaptive NMT: a user experience evaluation
Vol. 33Issue 1-2Article 07A user study of neural interactive translation prediction
Vol. 33Issue 1-2Article 08An error analysis for image-based multi-modal neural machine translation
Vol. 33Issue 1-2Article 09Evaluation of the impact of controlled language on neural machine translation compared to other MT architectures
Vol. 33Issue 3Article 10Efficient document alignment across scenarios
Vol. 33Issue 3Article 11Neighbors helping the poor: improving low-resource machine translation using related languages
Vol. 33Issue 3Article 12Chan Sin-Wai (ed): The human factor in machine translation
Vol. 33Issue 3Article 13Joss Moorkens, Sheila Castilho, Federico Gaspari, Stephen Doherty (eds): Translation quality assessment: from principles to practice
Vol. 33Issue 4Article 14Reassessing the proper place of man and machine in translation: a pre-translation scenario
Vol. 33Issue 4Article 15A user-study on online adaptation of neural machine translation to human post-edits
Vol. 33Issue 4Article 16Automatic quality estimation for speech translation using joint ASR and MT features
Vol. 33Issue 4Article 17An end-to-end model for cross-lingual transformation of paralinguistic information
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