DocumentCode :
644010
Title :
Identification of V+N compound nouns in Chinese-English machine translation based on rules in patent texts
Author :
He Zhou ; Yun Zhu ; Yaohong Jin
Author_Institution :
Inst. of Chinese Inf. Process., Beijing Normal Univ., Beijing, China
Volume :
03
fYear :
2012
fDate :
Oct. 30 2012-Nov. 1 2012
Firstpage :
1485
Lastpage :
1490
Abstract :
We address the problem of exclusion of verbs in sentences which are not predicates in Machine Translation and V+N compound nouns are the most apparent phenomena. We propose several identification rules based on HNC theory to lower the error rate of predicate-identification and verb-translation. Result is got by testing in existing MT system, which has a precision of 83.22% and a recall of 65.56%. And the result is valid to the identification and translation of Eigen Chunk1.
Keywords :
language translation; text analysis; Chinese-English machine translation; HNC theory; V+N compound nouns identification; eigen chunk; identification rules; patent text rules; predicate-identification; verb-translation; Abstracts; Compounds; Context; Materials; Patents; Technological innovation; Time-frequency analysis; V+N compound nouns; identification; machine translation; rule based;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cloud Computing and Intelligent Systems (CCIS), 2012 IEEE 2nd International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4673-1855-6
Type :
conf
DOI :
10.1109/CCIS.2012.6664632
Filename :
6664632
Link To Document :
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