Proceedings of the 2018 International Conference on Network, Communication, Computer Engineering (NCCE 2018)

The Review of Discourse-Based Machine Translation Evaluation

Authors
Yunzhen Zhang, En Guo, Hui Yu, Weizhi Xu
Corresponding Author
Yunzhen Zhang
Available Online May 2018.
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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Volume Title
Proceedings of the 2018 International Conference on Network, Communication, Computer Engineering (NCCE 2018)
Series
Advances in Intelligent Systems Research
Publication Date
May 2018
ISBN
978-94-6252-517-7
ISSN
1951-6851
DOI
10.2991/ncce-18.2018.185How to use a DOI?
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/).

Cite this article

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  -