Automatic Adverb Error Correction in Korean Learners’ EFL Writing
0
조회
0
다운로드
1
인용
0
참고문헌
키워드
초록
This paper describes ongoing work on the correction of adverb errors committed by Korean learners studying English as a foreign language (EFL), using an automated English writing assessment system. Adverb errors are commonly found in learners’ writings, but handling those errors rarely draws an attention in natural language processing due to complicated characteristics of adverb. To correctly detect the errors, adverbs are classified according to their grammatical functions, meanings and positions within a sentence. Adverb errors are collected from learners’ sentences, and classified into five categories adopting a traditional error analysis. The error classification in conjunction with the adverb categorization is implemented into a set of mal-rules which automatically identifies the errors. When an error is detected, the system corrects the error and suggests error specific feedback. The feedback includes the types of errors, a corrected string of the error and a brief description of the error. This attempt suggests how to improve adverb error correction method as well as to provide richer diagnostic feedback to the learners.
Abstract
This paper describes ongoing work on the correction of adverb errors committed by Korean learners studying English as a foreign language (EFL), using an automated English writing assessment system. Adverb errors are commonly found in learners’ writings, but handling those errors rarely draws an attention in natural language processing due to complicated characteristics of adverb. To correctly detect the errors, adverbs are classified according to their grammatical functions, meanings and positions within a sentence. Adverb errors are collected from learners’ sentences, and classified into five categories adopting a traditional error analysis. The error classification in conjunction with the adverb categorization is implemented into a set of mal-rules which automatically identifies the errors. When an error is detected, the system corrects the error and suggests error specific feedback. The feedback includes the types of errors, a corrected string of the error and a brief description of the error. This attempt suggests how to improve adverb error correction method as well as to provide richer diagnostic feedback to the learners.
참고문헌 (11)
- D. Biber, "Longman Grammar of Spoken and Written English" (1999), Pearson Education Limited
- M. Chodorow, "Detection of Grammatical Errors Involving Prepositions", Proc. of the 4th ACL-SIGSEM Workshop on Prepositions, pp.25~30 (2007)
- S. P. Conlon, "Can Computer Handle Adverbs", Proc. of COLING-92, pp.23~28 (1992)
- S.P. Corder, "The Edinburgh Course in Applied Linguistics. in : Techniques in Applied linguistics. 3", pp.122~131 (1974), Oxford University Press
- R. De Felice, "Automatically Acquiring Models of Preposition Use", Proc. of the 4th ACL-SIGSEM Workshop on Prepositions, pp.45~50 (2007)
- J. Eeg-Olofsson, "Automatic Grammar Checking for Second Language Learners – the Use of Prepositions", Proc. of Nodalida’03 (2003)
- R. Ellis, "The Study of Second Language Acquisition" (1994), Oxford University Press
- M. Gamon, "Using Contextual Speller Techniques and Language Modeling for ESL Error Correction", Proc. of IJCNLP, Hyderabad (2008)
- T. Heift, "Errors and Intelligence in Computer-Assisted Language Learning: Parsers and pedagogues" (2007), Taylor & Francis Group
- 김지은, "중학생 영작문 실력 향상을 위한 자동 문법 채점 시스템 구축", 한국콘텐츠학회 논문지, 7(5), pp.36~46 (2007), 한국콘텐츠학회
- R. Quirk, "A Comprehensive Grammar of the English Language" (1985), Longman