The Review of Discourse-Based Machine Translation Evaluation

DOI

10.2991/ncce-18.2018.185How to use a DOI?

Keywords

Machine translation, Evaluation metrics, Discourse structure, Discourse features.

Abstract

This article reviews the discourse-based machine translation evaluation metrics. According to different methods of using, machine translation evaluation based on discourse is divided into two categories: evaluation based on discourse structure and evaluation based on discourse features. For these two different categories, we introduce their representative works, and compare the advantages and disadvantages of each method. Finally, we summarize the evaluation metrics based on discourse, points out the problems to be paid attention to when evaluating, and predicts the future development trends.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yunzhen Zhang
AU  - En Guo
AU  - Hui Yu
AU  - Weizhi Xu
PY  - 2018/05
DA  - 2018/05
TI  - The Review of Discourse-Based Machine Translation Evaluation
BT  - Proceedings of the 2018 International Conference on Network, Communication, Computer Engineering (NCCE 2018)
PB  - Atlantis Press
SP  - 1097
EP  - 1100
SN  - 1951-6851
UR  - https://doi.org/10.2991/ncce-18.2018.185
DO  - 10.2991/ncce-18.2018.185
ID  - Zhang2018/05
ER  -