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. © 2013 Springer-Verlag.
CITATION STYLE
Chan, S. W. K., & Chong, M. W. C. (2013). Recursive part-of-speech tagging using word structures. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8082 LNAI, pp. 419–425). https://doi.org/10.1007/978-3-642-40585-3_53
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