基于阿拉伯语WordNet语义的自适应自动阿拉伯语作文评分模型

2021 2nd International Conference on Smart Computing and Electronic Enterprise (ICSCEE) Pub Date : 2021-06-15 DOI:10.1109/ICSCEE50312.2021.9498191

Mohammad Alobed, A. Altrad, Zainab Binti Abu Bakar

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引用次数: 1

摘要

论文自动评分系统(AEG)是为了节省时间和费用，减少因人为偏见而产生的错误和不公平现象而设计的，适用于公立学校、大学和企业。AEG广泛应用于英语、法语等多种语言，但在阿拉伯语自动征文方面的研究还很有限。因此，本研究介绍了阿拉伯语自动作文评分(AAEG)。本研究的目的是建立一个新的模型，能够评估学生对阿拉伯语作文问题的答案，分数接近于老师手动提供的分数。该模型利用阿拉伯文WordNet模型的语义特点，通过与阿拉伯文WordNet表混合的词干提取方法，利用阿拉伯文WordNet对所有参考答案单词进行同义词搜索，使学生的成绩不会因为没有写出相同单词的参考答案而受到压迫，从而达到准确性，避免了词干提取的缺点。

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An Adaptive Automated Arabic Essay Scoring Model Using the Semantic of Arabic WordNet

An Automated Essay Grading (AEG) system is designed to be used in public schools, universities and companies, which is used to saving time and cost and to reduction in errors and unfairness due to human bias. The AEG widespread use and applied for multi-language such as English and French and others, but the researches in automated Arabic essay is limited. Therefore, this research introduces an Arabic Automated Essay Grading (AAEG). The aim of this research is to build a new model that is able to evaluate students' answers to Arabic essay questions with a score that is close to that provided by the teacher manually. The model relies on the semantic of Arabic WordNet model to achieve the accuracy and to avoid the weakness in stemming, after using a hybrid method in stemming with Arabic WordNet tables and using Arabic WordNet to search for all synonyms for all reference answer words so that students' marks don't oppress because they didn't write the same words reference answer.

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2021 2nd International Conference on Smart Computing and Electronic Enterprise (ICSCEE)

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