DocumentCode :
2244410
Title :
The Research of the Most Short-Path´s Chinese Words Segmentation Words Model Based on N1
Author :
Lin, Hongwei ; Lin, Zhuying
Author_Institution :
Guizhou Normal Univ., Guiyang
Volume :
2
fYear :
2009
fDate :
30-31 May 2009
Firstpage :
271
Lastpage :
274
Abstract :
This article introduced in the natural language understanding´s Chinese segmentation words technology, elaborated emphatically segmentation wordspsila method and implement principle based on the statistical, proposed by based on statistical segmentation words technology primarily ldquocompound prescriptionrdquo segmentation method, in the analysis words segmentation process a N- most short-path´s statistical model, has caused Chinese segmentation words technology had the certain extent enhancement in the efficiency and the rate of accuracy.
Keywords :
natural language processing; statistics; word processing; N-most short-path statistical model; compound prescription segmentation method; most short-path Chinese words segmentation words model; natural language understanding; statistical segmentation words technology; Context-aware services; Dictionaries; Displays; Electronic mail; Frequency conversion; Natural languages; Probability; Robots; Statistical analysis; Statistics; Chinese words segmentation; algorithm; model; the most short-path;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Networking and Digital Society, 2009. ICNDS '09. International Conference on
Conference_Location :
Guiyang, Guizhou
Print_ISBN :
978-0-7695-3635-4
Type :
conf
DOI :
10.1109/ICNDS.2009.147
Filename :
5116736
Link To Document :
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