Method of word sense disambiguation based on bayes and machine readable dictionary
Wenrong Tan · Journal of Computer Applications · 2006
multi-senses of a word are widespread phenomenon in the natural language.The accuracy rate of sense ambiguation is the most important target of a software on the fields of machine translation,information indexing and text sorting.A method based on the bayes and machine readable dictionary was proposed,which could disambiguate by the training of a small-scale corpus and the definition of semantic in machine dictionary.The experimental results show that it has a high accuracy rate of word sense ambiguation when the scale of markup corpus has been limited.