Korean part-of-speech tagging based on context information

This paper describes a part-of-speech tagging system using both rules and statistical information based on context information between an ambiguous word and words around it to resolve lexical ambiguities. The rules and statistical information are composed of POS tag and/or morpheme for an ambiguous word, and POS tags and/or morphemes for words around it. The system apply rules first and then apply statistical information when the ambiguities have not been resolved. Experimental result shows that our POS tagging system have high-accuracy and broad coverage.