Automated Grammar Checking of Tenses for ESL Writing

被引：0

作者：

Omar, Nazlia ^{[1
]}

Razali, Nur Asma Mohd ^{[1
]}

Darus, Saadiyah ^{[1
]}

机构：

[1] Univ Kebangsaan Malaysia, Fac Informat Sci & Technol, Bangi 43600, Selangor, Malaysia

来源：

ROUGH SETS AND KNOWLEDGE TECHNOLOGY, PROCEEDINGS | 2009年 / 5589卷

关键词：

Automated essay marking; natural language processing; computer-based essay marking; heuristics;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Various word-processing system have been developed to identify grammatical errors and mark learners' essays. However, they are not specifically developed for Malaysian ESL (English as a second language) learners. A marking tool which is capable to identify errors in ESL writing for these learners is very Much needed. Though there are numerous techniques adopted in grammar checking and automated essay marking system, research on the formation and Use Of heuristics to aid the construction of automated essay marking system has been scarce. This paper aims to introduce a heuristics based approach that call be utilized for grammar checking of tenses. This approach, which uses natural language processing technique, can be applied as part of the software requirement for a CBEM (Computer Based Essay Marking) system for ESL learners. The preliminary result based on the training set shows that the heuristics are useful and can improve the effectiveness of automated essay marking tool for detecting grammatical errors of tenses in ESL writing.

引用

页码：475 / 482

页数：8

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