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首页> 外文期刊>American journal of applied sciences >QArabPro: A Rule Based Question Answering System for Reading Comprehension Tests in Arabic | Science Publications
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QArabPro: A Rule Based Question Answering System for Reading Comprehension Tests in Arabic | Science Publications

机译：QArabPro：用于阅读阿拉伯语理解测试的基于规则的问答系统科学出版物

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摘要

> Problem statement: Extensive research efforts in the area of Natural Language Processing (NLP) were focused on developing reading comprehension Question Answering systems (QA) for Latin based languages such as, English, French and German. Approach: However, little effort was directed towards the development of such systems for bidirectional languages such as Arabic, Urdu and Farsi. In general, QA systems are more sophisticated and more complex than Search Engines (SE) because they seek a specific and somewhat exact answer to the query. Results: Existing Arabic QA system including the most recent described excluded one or both types of questions (How and Why) from their work because of the difficulty of handling these questions. In this study, we present a new approach and a new questionanswering system (QArabPro) for reading comprehension texts in Arabic. The overall accuracy of our system is 84%. Conclusion/Recommendations: These results are promising compared to existing systems. Our system handles all types of questions including (How and why).
机译： > 问题陈述：在自然语言处理（NLP）领域，广泛的研究工作集中在为拉丁语（例如英语）开发阅读理解问答系统（QA）。 ，法语和德语。 方法：但是，很少有人致力于开发这种双向语言（如阿拉伯语，乌尔都语和波斯语）的系统。一般而言，质量检查系统比搜索引擎（SE）更复杂，更复杂，因为它们会针对查询寻求特定且准确的答案。 结果：包括最新描述的现有阿拉伯语质量检查系统，由于难以处理这些问题，因此从他们的工作中排除了一种或两种类型的问题（如何和为什么）。在这项研究中，我们提出了一种新的方法和一种新的问答系统（QArabPro），用于阅读阿拉伯语的理解文本。我们系统的整体精度为84％。 结论/建议：与现有系统相比，这些结果很有希望。我们的系统处理所有类型的问题，包括（如何和为什么）。

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