This book constitutes the refereed proceedings of the 14th China Workshop on Machine Translation, CWMT 2018, held in Wuyishan, China, in October 2018.
The 9 papers presented in this volume were carefully reviewed and selected from 17 submissions and focus on all aspects of machine translation, including preprocessing, neural machine translation models, hybrid model, evaluation method, and post-editing.

Table of contents (11 chapters)

• A Grammatical Analysis on Machine Translation Errors

  Ge, Shili (et al.)

  Pages 1-14

• RST Discourse Parsing with Tree-Structured Neural Networks

  Zhang, Longyin (et al.)

  Pages 15-26

• Exploiting Knowledge Graph in Neural Machine Translation

  Lu, Yu (et al.)

  Pages 27-38

• Improving Performance of NMT Using Semantic Concept of WordNet Synset

  Liu, Fangxu (et al.)

  Pages 39-51

• Cross-Lingual Semantic Textual Similarity Modeling Using Neural Networks

  Li, Xia (et al.)

  Pages 52-62

• The Impact of Named Entity Translation for Neural Machine Translation

  Yan, Jinghui (et al.)

  Pages 63-73

• Pivot Machine Translation Using Chinese as Pivot Language

  Liu, Chao-Hong (et al.)

  Pages 74-85

• Controlling the Transition of Hidden States for Neural Machine Translation

  Zheng, Zaixiang (et al.)

  Pages 86-92

• Neural Name Translation Improves Neural Machine Translation

  Li, Xiaoqing (et al.)

  Pages 93-100

• Towards Building a Strong Transformer Neural Machine Translation System

  Wang, Qiang (et al.)

  Pages 101-110

• TencentFmRD Neural Machine Translation System

  Hu, Bojie (et al.)

  Pages 111-123