Proceedings of the 2016 6th International Conference on Machinery, Materials, Environment, Biotechnology and Computer

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/).

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Volume Title
Proceedings of the 2016 6th International Conference on Machinery, Materials, Environment, Biotechnology and Computer
Series
Advances in Engineering Research
Publication Date
June 2016
ISBN
978-94-6252-210-7
ISSN
2352-5401
DOI
10.2991/mmebc-16.2016.98How to use a DOI?
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  -