• We are available for your help 24/7
  • Email: info@isindexing.com, submission@isindexing.com

Paper Details

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

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 In this paper we are presenting the review on question generation from historical documents written in Punjabi language.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.