Reclassifying Chinese Morpheme Word Based on Grammar and a Semantic Quantifiable Model
Jianyong Duan · Jisuanji gongcheng · 2004
This paper presents a method of automatically retagging morpheme words using CLAWS (constituent-likelihood automatic word-tagging system) algorism with a semantic vector model. The context of morpheme words in reclassifying the different parts of speech is analyzed, the experiment shows that the method achieves the desired result.