Tree-State Based Rule Selection Models for Hierarchical Phrase-Based Machine Translation

Huang, Shujian; Sun, Huifeng; Zhao, Chengqi; Su, Jinsong; Dai, Xin-Yu; Chen, Jiajun

Tree-State Based Rule Selection Models for Hierarchical Phrase-Based Machine Translation

Shujian Huang, Huifeng Sun, Chengqi Zhao, Jinsong Su, Xin-Yu Dai, Jiajun Chen

Download BibTeX Cite

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence. Pages 2817-2822.

Abstract

Hierarchical phrase-based translation systems (HPBs) perform translation using a synchronous context free grammar which has only one unified non-terminal for every translation rule. While the usage of the unified non-terminal brings freedom to generate translations with almost arbitrary structures, it also takes the risks of generating low-quality translations which has a wrong syntactic structure. In this paper, we propose tree-state models to discriminate the good or bad usage of translation rules based on the syntactic structures of the source sentence. We propose to use statistical models and context dependent features to estimate the probability of each tree state for each translation rule and punish the usage of rules in the translation system which violates their tree states. Experimental results demonstrate that these simple models could bring significant improvements to the translation quality.

Shujian Huang, Huifeng Sun, Chengqi Zhao, Jinsong Su, Xin-Yu Dai, and Jiajun Chen. 2016. Tree-State Based Rule Selection Models for Hierarchical Phrase-Based Machine Translation. In Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, IJCAI-16. IJCAI, 2817–2822. https://ijcai.org/proceedings/2016/400

@inproceedings{ijcai2016p400,
  title     = {Tree-State Based Rule Selection Models for Hierarchical Phrase-Based Machine Translation},
  author    = {Huang, Shujian and Sun, Huifeng and Zhao, Chengqi and Su, Jinsong and Dai, Xin-Yu and Chen, Jiajun},
  booktitle = {Proceedings of the Twenty-Fifth International Joint Conference on
               Artificial Intelligence, {IJCAI-16}},
  publisher = {AAAI Press / International Joint Conferences on Artificial Intelligence},
  editor    = {Subbarao Kambhampati},
  pages     = {2817--2822},
  year      = {2016},
  month     = {7},
  url       = {https://ijcai.org/proceedings/2016/400},
}

TY  - CPAPER
TI  - Tree-State Based Rule Selection Models for Hierarchical Phrase-Based Machine Translation
AU  - Huang, Shujian
AU  - Sun, Huifeng
AU  - Zhao, Chengqi
AU  - Su, Jinsong
AU  - Dai, Xin-Yu
AU  - Chen, Jiajun
T2  - Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, IJCAI-16
PB  - AAAI Press / International Joint Conferences on Artificial Intelligence
PY  - 2016
SP  - 2817
EP  - 2822
UR  - https://ijcai.org/proceedings/2016/400
ER  -