Machine Translation

12th China Workshop, CWMT 2016, Urumqi, China, August 25–26, 2016, Revised Selected Papers

  • Muyun Yang
  • Shujie Liu
Conference proceedings CWMT 2016

Part of the Communications in Computer and Information Science book series (CCIS, volume 668)

Table of contents

  1. Front Matter
    Pages I-XI
  2. Guoping Huang, Chunlu Zhao, Hongyuan Ma, Yu Zhou, Jiajun Zhang
    Pages 1-13
  3. Di Liu, Conghui Zhu, Tiejun Zhao, Xiaoxue Wang, Muyun Yang
    Pages 14-24
  4. Junguo Zhu, Muyun Yang, Sheng Li, Tiejun Zhao
    Pages 35-42
  5. Chuang Wu, Lin Wang, Na Ye, Guiping Zhang, Dongfeng Cai
    Pages 61-74
  6. Ying Li, Jianyi Guo, Zhengtao Yu, Yantuan Xian, Yonghua Wen
    Pages 75-90
  7. Hongzheng Li, Yun Zhu
    Pages 91-101
  8. Junting Yu, Wuying Liu, Hongye He, Mianzhu Yi
    Pages 102-112
  9. Back Matter
    Pages 125-125

About these proceedings

Introduction

This book constitutes the refereed proceedings of the 12th China Workshop on Machine Translation, CWMT 2016, held in Urumqi, China, in August 2016.
The 10 English papers presented in this volume were carefully reviewed and selected from 76 submissions. They deal with statistical machine translation, hybrid machine translation, machine translation evaluation, post editing, alignment, and inducing bilingual knowledge from corpora. 

Keywords

natural language processing machine translation machine translation evaluation statistical machine translation neural machine translation bilingual data mining machine aided translation multilingual natural language processing

Editors and affiliations

  • Muyun Yang
    • 1
  • Shujie Liu
    • 2
  1. 1.Harbin Institute of TechnologyHarbinChina
  2. 2.Microsoft Research AsiaBeijingChina

Bibliographic information

  • DOI https://doi.org/10.1007/978-981-10-3635-4
  • Copyright Information Springer Nature Singapore Pte Ltd. 2016
  • Publisher Name Springer, Singapore
  • eBook Packages Computer Science
  • Print ISBN 978-981-10-3634-7
  • Online ISBN 978-981-10-3635-4
  • Series Print ISSN 1865-0929
  • Series Online ISSN 1865-0937
  • About this book