Proceedings of the 2015 International Conference on Electronic Science and Automation Control

Research on Verb Semantic - syntactic Knowledge Base in Russian - Chinese Machine Translation

Authors
Yan Li
Corresponding Author
Yan Li
Available Online August 2015.
DOI
10.2991/esac-15.2015.51How to use a DOI?
Keywords
Russian-Chinese machine translation, Semantic - syntactic information database, Semantic description
Abstract

In this study, the research results at home and abroad on the basis of semantics, through the establishment of the Russian verb semantic pattern of combing and significance patterns, to analyze the performance of syntactic distribution, description of the Semantic - syntactic patterns, and as the basis for constructing Machine Translation "verbal semantic - syntactic pattern library", "fixed sentence library" and "Variable library" to complete the carding three databases to achieve a knowledge integration. This study not only can expand the research category of semantics theory, but also can promote the further development of the Russian-Chinese machine translation theory.

Copyright
© 2015, 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 2015 International Conference on Electronic Science and Automation Control
Series
Advances in Computer Science Research
Publication Date
August 2015
ISBN
978-94-62520-95-0
ISSN
2352-538X
DOI
10.2991/esac-15.2015.51How to use a DOI?
Copyright
© 2015, 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  - Yan Li
PY  - 2015/08
DA  - 2015/08
TI  - Research on Verb Semantic - syntactic Knowledge Base in Russian - Chinese Machine Translation
BT  - Proceedings of the 2015 International Conference on Electronic Science and Automation Control
PB  - Atlantis Press
SP  - 204
EP  - 208
SN  - 2352-538X
UR  - https://doi.org/10.2991/esac-15.2015.51
DO  - 10.2991/esac-15.2015.51
ID  - Li2015/08
ER  -