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Predicting Part-of-Speech Tags and Morpho-Syntactic Relations Using Similarity-Based Technique

  • Samuel W. K. Chan
  • Mickey M. C. Chong
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7978)

Abstract

This 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.

Keywords

Part-of-speech tagging Chinese morphemes Chinese word structures Machine learning 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Samuel W. K. Chan
    • 1
  • Mickey M. C. Chong
    • 1
  1. 1.Dept. of Decision SciencesThe Chinese University of Hong KongHong Kong

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