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