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Rule Based Question Generation System from Punjabi Text Contain Historical Information

Journal: International Journal of Computer Science and Mobile Computing - IJCSMC (Vol.3, No. 10)

Publication Date:

Authors : ; ;

Page : 86-91

Keywords : Question Generation System (QGS); Question Generation; Rule based Approach; Natural Language Processing (NLP); Named Entity Recognition (NER);

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Automatic Question generation is a computer program of generating questions automatically from a text. This is possible with the help of NLP (Natural Language Processing). Main challenging of this is generating the questions from a text that are must be syntax and semantically correct. Rule based approach used to generating the questions automatically from a text. In this paper we are presenting rule based approach to generate question from Punjabi historical documents or text. Punjabi corpus used to generate the questions automatically from a Punjabi text. This corpora contain various named entities such as names of persons, locations name, cities name, countries name and other entities is required which is not yet available. So a NER (Named Entity Recognition) Tool is also need to be created which recognizes the names from a given sentence and generate the appropriate questions from it.

Last modified: 2014-10-10 01:29:52