DocumentCode
2896764
Title
Chinese New Words Extraction Based on Machine Learning Approach
Author
Zhang, Zi-Ru ; Wang, Qiang-jun ; Tian, Xue-dong
Author_Institution
Coll. of Humanities, Hebei Univ., Baoding
fYear
2006
fDate
13-16 Aug. 2006
Firstpage
3380
Lastpage
3384
Abstract
Chinese new words extraction is an important problem for Chinese information processing. In this paper a new words extraction method based on machine learning is proposed, where the context information, the word construction rules and statistic information are combined to extract new words. An experiment, based on two-character-nouns, shows that this method can well improve the efficiency and accuracy of extracting new words
Keywords
dictionaries; learning (artificial intelligence); natural languages; text analysis; Chinese information processing; Chinese new word extraction; context information; dictionary; machine learning approach; statistic information; two-character-nouns; word construction rules; Cybernetics; Data mining; Dictionaries; Educational institutions; Information processing; Machine learning; Mathematics; Natural languages; Probability; Statistics; Text processing; New words extraction; machine learning; word construction rules; word segmentation;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2006 International Conference on
Conference_Location
Dalian, China
Print_ISBN
1-4244-0061-9
Type
conf
DOI
10.1109/ICMLC.2006.258498
Filename
4028652
Link To Document