The Design and Implementation of an Error-Checking System for English Composition Based on Chinese Learner English Corpus

• Main Authors: Tzuo-Yu Yan, 顏佐宇
• Other Authors: Deng-Jyi Chen
• Format: Others
• Language: zh-TW
• Published: 2007
• Online Access: http://ndltd.ncl.edu.tw/handle/81133641605772850853

碩士 === 國立交通大學 === 理學院碩士在職專班網路學習學程 === 95 === As the elementary school starts teaching English and the popularity of GEPT (General English Proficiency Test), many people consider learning English indispensable. Following this trend, many students start to receive English courses and take English tests. Therefore, the number of students who go to English institutions or appeal to self-study has increased as well. However, taking learning English composition as an example, when the learners finish their compositions, they must seek someone to check their works. This is a time-consuming process and, furthermore, the grading standard may vary. Multiple-choice and true and false questions have fixed answers that can be checked through Optical Mark Recognition, replacing the manual grading method. Even though English composition can be graded by a few systems, its accuracy may be varied due to the difference of learning background. As a result, this research intends to improve the error checking system for Chinese learner’s English composition. The explicitly categorized and the representative error types in CLEC will be the basis to write the error checking system for English composition. By using the coordinate approaches, the misspellings, grammatical errors, and the irrelevance sentences can be marked clearly and served as references for the graders. Since English is still foreign to Chinese, the differences among voice and tenses have caused difficulties in learning. Thus, we must design a system not only providing the learners to do relevant practice beforehand but also functioning as references for the graders. More importantly, our system is based upon CLEC and integrates many grammar checking modules to cover the error types as many as we can. For a learner, it can be used to his own English composition conveniently. For a grader, it can be used to uncover all possible errors before they do the final semantic checks. Thus, the grading basis for all testers’ English compositions is the same. Numeric English composition samples (list in appendix) are used to demonstrate the feasibility and applicability of the proposed system.