Study on Chinese Word Sense Disambiguation Based on Statistics
Ruyun Zhang · Journal of Information Engineering University · 2007
Word sense disambiguation has always been a key problem and one of the difficult points in information retrieval.Statistics have good effect on word sense disambiguation,and gradually takes up the mainstream status.In this paper,large-scale real texts are researched with HowNet,respectively applying Hidden Markov Model,Naive Bayes Model,Bayes Model and Dependency Parsing,among which Bayes Model and Dependency Parsing have the best effect.