Recursive Part-of-Speech Tagging Using Word Structures

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.