Recursive Part-of-Speech Tagging Using Word Structures
Refereed conference paper presented and published in conference proceedings


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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.
著者Chan SWK, Chong MWC
會議名稱16th International Conference on Text, Speech, and Dialogue (TSD)
會議開始日01.09.2013
會議完結日05.09.2013
會議地點Pilsen
會議國家/地區捷克共和國
期刊名稱Lecture Notes in Artificial Intelligence
詳細描述To ORKTS: Also appeared in Lecture Notes in Artificial Intelligence, v.8082, 419-425, Springer-Verlag
出版年份2013
月份1
日期1
卷號8082
出版社SPRINGER-VERLAG BERLIN
頁次419 - 425
國際標準書號978-3-642-40584-6
電子國際標準書號978-3-642-40585-3
國際標準期刊號0302-9743
語言英式英語
關鍵詞Chinese morphemes; Part-of-speech tagging; Tree-based classifier
Web of Science 學科類別Computer Science; Computer Science, Artificial Intelligence; Computer Science, Theory & Methods

上次更新時間 2020-07-08 於 01:16