영어 학습자 오류 코퍼스 구축과 오류 탐지 규칙 생성 : Building an Error Corpus of Korean Learner English and Generating Mal Rules
Building an Error Corpus of Korean Learner English and Generating Mal Rules
- 주제(키워드) Intelligent Computer-Assisted Language Learning , Computer-aided Error Analysis , Learner Error Corpus , Corpus Linguistics , Mal Rule , Computational Linguistics , 지능적 컴퓨터 언어 보조 학습 , 컴퓨터 보조 오류 분석 , 학습자 오류 코퍼스 , 코퍼스 언어학 , 오류 탐지 규칙 , 전산언어학
- 발행기관 한국외국어대학교 언어연구소
- 발행년도 2012
- 총서유형 Journal
- UCI G704-001550.2012..54.009
- KCI ID ART001634929
- 본문언어 한국어
초록/요약
This paper introduces the error corpus of Korean learner English and mal rules to detect the errors. Based on the corpus, we classified 42 error types. Our criteria for error classification are more general in order to enhance agreement rate and decrease errors. For generating mal rule, we testified two different grammars. One is Context Free Grammar (CFG) from Penn Treebank. The other is the typed feature structure grammars based on the Head-Driven Phrase Structure Grammar (HPSG), using Natural Language ToolKit (Bird et al. 2009). We advanced grammatical formalism from CFG to HPSG since CFG needs abundant phrasal markers causing over-generation, structural ambiguity and complexity.
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