Predicting part-of-speech tags and morpho-syntactic relations using similarity-based technique
Refereed conference paper presented and published in conference proceedings


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AbstractThis paper describes a similarity-based technique which produces a good estimate of part-of-speech tags and their morpho-syntactic relations of Chinese compound words before they are fed into a tagger. The technique 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 the compound words. The technique is trained with a compound words database with more than 53,500 disyllabic words. Experimental results show the tagger with the technique outperforms its counterpart. © 2013 Springer-Verlag.
All Author(s) ListChan S.W.K., Chong M.M.C.
Name of Conference1st International Conference on Statistical Language and Speech Processing, SLSP 2013
Start Date of Conference29/07/2013
End Date of Conference31/07/2013
Place of ConferenceTarragona
Country/Region of ConferenceSpain
Detailed descriptionTo ORKTS: Also appeared in Lecture Notes in Artificial Intelligence, v.7978, 71-82, Springer-Verlag
Year2013
Month9
Day3
Volume Number7978 LNAI
PublisherSpringer Verlag
Place of PublicationGermany
Pages71 - 82
ISBN9783642395925
ISSN0302-9743
LanguagesEnglish-United Kingdom
KeywordsChinese morphemes, Chinese word structures, Machine learning, Part-of-speech tagging

Last updated on 2020-08-07 at 02:17