Recursive Part-of-Speech Tagging Using Word Structures

被引：0

作者：

Chan, Samuel W. K. ^{[1
]}

Chong, Mickey W. C. ^{[1
]}

机构：

[1] Chinese Univ Hong Kong, Dept Decis Sci, Hong Kong, Hong Kong, Peoples R China

来源：

TEXT, SPEECH, AND DIALOGUE, TSD 2013 | 2013年 / 8082卷

关键词：

Part-of-speech tagging; Tree-based classifier; Chinese morphemes;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This research takes advantage of word structures and produces a good estimate of part-of-speech tags of Chinese compound words before they are fed into a tagger. The approach relies on a set of features from Chinese morphemes as well as a set of collocation markers which provide hints on the syntactic categories of compound words. A recursive inferential mechanism is devised to alleviate the riffle effect from changes made at its neighbors during tagging. The approach is justified with a compound words database with more than 53,500 words. Experimental results with 500,000 words show the approach outperforms its counterparts.

引用

页码：419 / 425

页数：7

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