CHINESE FORMALIZED CLASSIFIER SELECTION BASED ON LEXICAL EXAMPLES AND SEMANTIC COLLOCATION IN MT

We present an approach based on lexical examples and semantic collocation for resolving Chinese Formalized Classifier selection. We discuss the characteristics and collocation abilities of Formalized Classifiers. The semantic representations of nouns collocated with Formalized Classifier in the approach are based on the lexical concept definition in HowNet. We will also show the application of the approach in our machine translation system based on semantic language. Our test results indicate that most of the Formalized Classifiers can be selected correctly in target language generating by this approach.