Title :
Bootstrap method for Chinese new words extraction
Author :
He, Shan ; Zhu, Jie
Author_Institution :
Dept. of Electr. Eng., Shanghai Jiaotong Univ., China
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;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01). 2001 IEEE International Conference on
Conference_Location :
Salt Lake City, UT
Print_ISBN :
0-7803-7041-4
DOI :
10.1109/ICASSP.2001.940898
