DocumentCode
2348580
Title
An error driven method to improve rules for the recognition of Chinese modality “LE”
Author
Zhou, Yihui ; Zan, Hongying ; Mu, Lingling ; Yuan, Yingcheng
Author_Institution
Coll. of Inf. & Eng., Zhengzhou Univ., Zhengzhou, China
fYear
2010
fDate
21-23 Aug. 2010
Firstpage
1
Lastpage
4
Abstract
We have a “Trinity” way for the recognition of Chinese modality “LE”, in which dictionary, usage rule base and usage corpora combine as the knowledge base. Handcrafted rules can hardly cover all usages in the real texts. So this paper proposes an error driven method for the automatic rules improvement. Experimental results show that, after the automatic rules improvement, the recognition precision of the modality “LE” improves by over 1.85%.
Keywords
knowledge based systems; natural language processing; pattern recognition; Chinese modality recognition; LE modality; automatic rules improvement; dictionary; error driven method; usage corpora; usage rule base; Chinese modality; automatic rules improvement; error-driven method; functional words knowledge base;
fLanguage
English
Publisher
ieee
Conference_Titel
Natural Language Processing and Knowledge Engineering (NLP-KE), 2010 International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-6896-6
Type
conf
DOI
10.1109/NLPKE.2010.5587825
Filename
5587825
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