Design and Construction of Knowledge base for Verb using MRD and Tagged Corpus

Abstract

This paper represents the procedure of building syntactic knowledge base. This study is to construct basic sentence pattern automatically by using the POS-tagged corpus in balanced KAIST corpus, and electronic dictionary for Korean, and to construct syntactic knowledge base with specific information added to the lexicographer's analysis. The summary of work process will be as follows: 1) Extraction of characteristic verb targeting the high frequency verb from KAIST corpus 2) Constructing sentence pattern from each verb case frame structure extracted from MRD 3) Making out the noun categories of sentence pattern through KCP examples 4) Semantic classification of selected verb suitable for classified sentence pattern 5) Description of hyper concept to individual noun categories 6) Putting the translated words in Japanese to each noun and verb

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