Samah Ali Alazani
ABSTRACT
Question answering systems have evolved into a whole new domain. Question answering systems are of emense importance in the present scenario as well as for many purposes such as humanlike conversation, machine translation, summarization, etc. For the present work, the data is collected from the Arabic language textbook of the 5th standard of Yemen. The text is pre-processed for removing punctuation marks, stop words. The paragraphs are segmented first sentence-level and then word level. For the generation of questions, a rule based approach is used, which had a pre-requirement of properly tagged words. Thus pos tagger and NER relevant to the present domain is also developed considering linguistic aspect and rule based approach. A clear explanation of how wh-type questions are developed is given in detail. The main focus on which the work is done is types of nouns. The types of nouns have been used to generate wh-questions from the Arabic text.
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Index Terms
- Rule Based Question Generation for Arabic Text: Question Answering System
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