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


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AbstractThis 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.
All Author(s) ListChan SWK, Chong MWC
Name of Conference16th International Conference on Text, Speech, and Dialogue (TSD)
Start Date of Conference01/09/2013
End Date of Conference05/09/2013
Place of ConferencePilsen
Country/Region of ConferenceCzech Republic
Journal nameLecture Notes in Artificial Intelligence
Detailed descriptionTo ORKTS: Also appeared in Lecture Notes in Artificial Intelligence, v.8082, 419-425, Springer-Verlag
Year2013
Month1
Day1
Volume Number8082
PublisherSPRINGER-VERLAG BERLIN
Pages419 - 425
ISBN978-3-642-40584-6
eISBN978-3-642-40585-3
ISSN0302-9743
LanguagesEnglish-United Kingdom
KeywordsChinese morphemes; Part-of-speech tagging; Tree-based classifier
Web of Science Subject CategoriesComputer Science; Computer Science, Artificial Intelligence; Computer Science, Theory & Methods

Last updated on 2020-06-07 at 00:58