Machine Translation Based on Translation Rules for Processing Natural Language
Authors
Li Zhou
Corresponding Author
Li Zhou
Available Online June 2016.
- DOI
- 10.2991/mmebc-16.2016.98How to use a DOI?
- Keywords
- natural language processing, machine translation system, hybrid, example-pattern-based, rule-based
- Abstract
This paper presents a hybrid approach, which integrates an example-pattern-based method and a rule-based method, to the design and implementation of an English-Chinese machine translation system. It focuses discussion on language model , knowledge base, design ideas and implementation strategies. Our system has been tested based on requirement details listed in the Outlines for Automatic Evaluation of Machine Translation constituted by National Hi-Tech Project 863, and compared with the Huajian system. Experiment results indicate that our system has high translation speed and accuracy.
- Copyright
- © 2016, 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 - Li Zhou PY - 2016/06 DA - 2016/06 TI - Machine Translation Based on Translation Rules for Processing Natural Language BT - Proceedings of the 2016 6th International Conference on Machinery, Materials, Environment, Biotechnology and Computer PB - Atlantis Press SP - 457 EP - 460 SN - 2352-5401 UR - https://doi.org/10.2991/mmebc-16.2016.98 DO - 10.2991/mmebc-16.2016.98 ID - Zhou2016/06 ER -