A Review on Question Generation System from Punjabi Text Contain Historical Information?

Parshan Singh, Rajbhupinder Kaur?

Journal Title:International Journal of Computer Science and Mobile Computing - IJCSMC
Abstract

Automatic Question generation is a process of generating questions automatically from a text with the help of various NLP techniques. Main challenging area while generating the questions from a text automatically is that it must be correct semantically. Rule based approach is most common approach to generate the questions automatically from a text. In this paper we are presenting the review on question generation from historical documents written in Punjabi language. To generate the questions automatically from a Punjabi text a corpora in Punjabi language which contain various named entities such as names of persons, locations, cities, countries 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.

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