DocumentCode :
2259297
Title :
Studies on automatic recognition of Chinese adverb CAI´s usages based on statistics
Author :
Zan, Hongying ; Zhang, Junhui
Author_Institution :
Coll. of Inf. & Eng., Zhengzhou Univ., Zhengzhou, China
fYear :
2009
fDate :
24-27 Sept. 2009
Firstpage :
1
Lastpage :
5
Abstract :
Studies about the functional words knowledge base began in recent years. It has gotten some achievements. The functional words include adverbs, preposition, conjunction, auxiliary, and modality. The ldquotrinityrdquo knowledge-base of functional words has been initially built which includes function usage dictionary, usage rules-base and usage corpora. This paper bases on the previous work, and further study automatically recognizing Chinese adverb CAI´s usages using statistical methods. Two statistical models, viz. CRF and ME, are used to tag the adverb CAI´s usages on the tagged corpus of People´s Daily(1998.1). The precision rate of CRF and ME in opening test is 73.8% and 73.9% respectively. In closing test the precision rate of both are 100%. The experiments show that statistic-based method is more effective in usage automatic recognition of the adverb CAI than the rule-based method.
Keywords :
knowledge based systems; natural language processing; statistical analysis; Chinese adverb CAI usage recognition; People´s Daily(1998.1); function usage dictionary; functional words knowledge base; statistical methods; trinity knowledge-base; usage corpora; usage rules-base; Computer aided instruction; Dictionaries; Educational institutions; Frequency; Knowledge engineering; Natural language processing; Natural languages; Statistical analysis; Statistics; Testing; CAI; CRF; Chinese adverbs; ME; functional words knowledge base; usages recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Natural Language Processing and Knowledge Engineering, 2009. NLP-KE 2009. International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-1-4244-4538-7
Electronic_ISBN :
978-1-4244-4540-0
Type :
conf
DOI :
10.1109/NLPKE.2009.5313749
Filename :
5313749
Link To Document :
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