Machine Translation Based on Translation Rules for Processing Natural Language

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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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  -