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논문 기본 정보

자료유형
학술저널
저자정보
Songwook Lee (Korea National University of Transportation) Kong Joo Lee (Chungnam National University)
저널정보
한국마린엔지니어링학회 Journal of Advanced Marine Engineering and Technology (JAMET) 한국마린엔지니어링학회지 제37권 제7호
발행연도
2013.11
수록면
760 - 770 (11page)

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초록· 키워드

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Detecting grammatical errors from a text is a long-history application. In this paper, we compare the performance of two grammatical error detection techniques, which are implemented as a sub-module of an automated English scoring system. One is to use a full syntactic parser, which has not only grammatical rules but also extra-grammatical rules in order to detect syntactic errors while paring. The other one is to use a finite state machine which can identify an error covering a small range of an input. In order to compare the two approaches, grammatical errors are divided into three parts; the first one is grammatical error that can be handled by both approaches, and the second one is errors that can be handled by only a full parser, and the last one is errors that can be done only in a finite state machine. By doing this, we can figure out the strength and the weakness of each approach. The evaluation results show that a full parsing approach can detect more errors than a finite state machine can, while the accuracy of the former is lower than that of the latter. We can conclude that a full parser is suitable for detecting grammatical errors with a long distance dependency, whereas a finite state machine works well on sentences with multiple grammatical errors.

목차

Abstract
1. Introduction
2. Related Studies
3. Grammatical Error Detection Modules
4. Grammatical Errors
5. Evaluation
6. Conclusion
References

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UCI(KEPA) : I410-ECN-0101-2014-550-003522236