METHOD FOR GENERATION OF ROOT-BASED LANGUAGE MODEL AND LANGUAGE PROCESSING APPARATUS FOR SAME

摘要

The present invention relates to a method for generation of a root-based language model and a language processing apparatus for the same. In particular, the method and the language processing apparatus are configured to extract each sentence, included in voice data, in a unigram form through language processing, analyze morphemes for each sentence in a unigram form, perform clustering based on roots of the morphemes, and match a cluster in an N-gram form, thereby overcoming a data shortage problem as in a class-based language model. Furthermore, the method and the language processing apparatus can be modified and utilized in such a way that using a linguistic relationship, an object which can be placed in front of a verb is mainly extracted in the case of the verb and the following relationship is extracted in the case of a noun having a postposition, thereby improving accuracy in language extraction. Furthermore, a new noun which is not present in a language model for voice recognition can be added in an N-gram form incorporating various expressions of a sentence, thereby providing higher voice recognition performance for a proper noun than that of a method of simply adding only the proper noun.;COPYRIGHT KIPO 2016