Automated Classification of Sentential Types in Korean with Morphological Analysis

형태소 분석을 통한 한국어 문장 유형 자동 분류

  • 정진우 (한국과학기술원 전산학과) ;
  • 박종철 (한국과학기술원 전산학과)
  • Published : 2009.12.31

Abstract

The type of a given sentence indicates the speaker's attitude towards the listener and is usually determined by its final endings and punctuation marks. However, some 6na1 endings are used in several types of sentences, which means that we cannot identify the sentential type by considering only the final endings and punctuation marks. In this paper, we propose methods of finding some other linguistic clues for indentifying the sentential type with a morphological analysis. We also propose to use these methods to implement a system that automatically classifies sentences in Korean according to their sentential types.

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