DocumentCode
1749719
Title
Bootstrap method for Chinese new words extraction
Author
He, Shan ; Zhu, Jie
Author_Institution
Dept. of Electr. Eng., Shanghai Jiaotong Univ., China
Volume
1
fYear
2001
fDate
2001
Firstpage
581
Abstract
A bootstrap approach for extracting unknown words from a Chinese text corpus is proposed. Instead of using a non-iterative segmentation-detection approach, the proposed method iteratively extracts the new words and adds them into the lexicon. Then the augmented dictionary, which includes potential unknown words (in addition to known words), is used in the next iteration to re-segment the input corpus until stop conditions are reached. Experiments show that both the precision and recall rates of segmentation are improved
Keywords
entropy; iterative methods; probability; text analysis; Chinese new words extraction; Chinese text corpus; augmented dictionary; bootstrap method; heuristic rules; input corpus; iterative methods; potential unknown words; precision; recall rates; stop conditions; Dictionaries; Feathers; Frequency; Helium; Impedance matching; Information retrieval; Natural language processing; Natural languages; Text processing; Vocabulary;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01). 2001 IEEE International Conference on
Conference_Location
Salt Lake City, UT
ISSN
1520-6149
Print_ISBN
0-7803-7041-4
Type
conf
DOI
10.1109/ICASSP.2001.940898
Filename
940898
Link To Document