Machine Translation

1. Front Matter

   Pages I-XI

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2. Neural Machine Translation with Phrasal Attention

   • Yachao Li, Deyi Xiong, Min Zhang

   Pages 1-8

3. Singleton Detection for Coreference Resolution via Multi-window and Multi-filter CNN

   • Kenan Li, Heyan Huang, Yuhang Guo, Ping Jian

   Pages 9-19

4. A Method of Unknown Words Processing for Neural Machine Translation Using HowNet

   • Shaotong Li, JinAn Xu, Yujie Zhang, Yufeng Chen

   Pages 20-29

5. Word, Subword or Character? An Empirical Study of Granularity in Chinese-English NMT

   • Yining Wang, Long Zhou, Jiajun Zhang, Chengqing Zong

   Pages 30-42

6. An Unknown Word Processing Method in NMT by Integrating Syntactic Structure and Semantic Concept

   • Guoyi Miao, Jinan Xu, Yancui Li, Shaotong Li, Yufeng Chen

   Pages 43-54

7. RGraph: Generating Reference Graphs for Better Machine Translation Evaluation

   • Hongjie Ji, Shujian Huang, Qi Hou, Cunyan Yin, Jiajun Chen

   Pages 55-67

8. ENTF: An Entropy-Based MT Evaluation Metric

   • Hui Yu, Weizhi Xu, Shouxun Lin, Qun Liu

   Pages 68-77

9. Translation Oriented Sentence Level Collocation Identification and Extraction

   • Xiaoxia Liu, Degen Huang

   Pages 78-89

10. Combining Domain Knowledge and Deep Learning Makes NMT More Adaptive

    • Liang Ding, Yanqing He, Lei Zhou, Qingmin Liu

    Pages 90-101

11. Handling Many-To-One UNK Translation for Neural Machine Translation

    • Fuxue Li, Du Quan, Wang Qiang, Xiao Tong, Jingbo Zhu

    Pages 102-111

12. A Content-Based Neural Reordering Model for Statistical Machine Translation

    • Yirong Pan, Xiao Li, Yating Yang, Chenggang Mi, Rui Dong, Wenxiao Zeng

    Pages 112-123

13. Back Matter

    Pages 125-125

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This book constitutes the refereed proceedings of the 13th China Workshop on Machine Translation, CWMT 2017, held in Dalian, China, in September 2017.
The 10 papers presented in this volume were carefully reviewed and selected from 26 submissions and focus on all aspects of machine translation, including preprocessing, neural machine translation models, hybrid model, evaluation method, and post-editing.

• Natural Language Processing
• Machine Translation
• Neural Machines Translation
• Statistical Machine Translation
• Deep Learning

• University of Macau, Macau SAR, China

  Derek F. Wong

• Soochow University, Suzhou, China

  Deyi Xiong

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