QArabPro: A Rule Based Question Answering System for Reading Comprehension Tests in Arabic | Science Publications

American Journal of Applied Sciences

K. Magel¹  Q. Al-Radaideh¹  M. Akour¹  S. Abufardeh¹ 

关键词: Arabic Q/A system;    Information Retrieval (IR);    Natural Language Processing (NLP);    arabic language;    acronyms;    Information Extraction (IE);    morphological root;    morphological analysis;    QA systems;    Stemming-root extraction;   

DOI  :  10.3844/ajassp.2011.652.661

学科分类：自然科学（综合）

来源: Science Publications

【 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 Latinbased languages such as, English, French and German. Approach: However, little effort was directedtowards the development of such systems for bidirectional languages such as Arabic, Urdu and Farsi. Ingeneral, QA systems are more sophisticated and more complex than Search Engines (SE) because they seeka specific and somewhat exact answer to the query. Results: Existing Arabic QA system including themost recent described excluded one or both types of questions (How and Why) from their work because ofthe difficulty of handling these questions. In this study, we present a new approach and a new questionansweringsystem (QArabPro) for reading comprehension texts in Arabic. The overall accuracy of oursystem is 84%. Conclusion/Recommendations: These results are promising compared to existingsystems. Our system handles all types of questions including (How and why).

【 授权许可】

Unknown