Automatic Classification of Chinese Unknown Verbs

碩士 === 國立政治大學 === 語言學研究所 === 89 === Abstract We present two methods to classify the Chinese unknown verbs. First, we summarize some linguistic rules and morphological patterns from corpus. The accuracy of the rule-based method is 86.86%~91.32%. Second, we use the instance-based categoriza...

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Bibliographic Details
Main Authors: Hui-hsin Tseng, 曾慧馨
Other Authors: Zhao-ming Gao
Format: Others
Language:zh-TW
Published: 2001
Online Access:http://ndltd.ncl.edu.tw/handle/66273057219833560482
Description
Summary:碩士 === 國立政治大學 === 語言學研究所 === 89 === Abstract We present two methods to classify the Chinese unknown verbs. First, we summarize some linguistic rules and morphological patterns from corpus. The accuracy of the rule-based method is 86.86%~91.32%. Second, we use the instance-based categorization to classify the Chinese unknown words. The accuracy of the instance-based method is 67.86%~70.92% and the accuracy of the integrated classifier is about 72%.