Question generation is an application of the NLP (Natural Language Processing). In automatic question generation the system generate multiple choice questions automatically from Punjabi text using question generation techniques. Question generation systems use the rule based approach to generate the questions from given text. Generation of multiple choice questions is very important because this helps anyone to test their knowledge in specific field. One can give the answer easily by choosing one option from a given set of options provided by the system and then system evaluate the given answer and generate the report for all the answers given. This paper presents the review to various question generation techniques are the rule based approach, pattern matching and information extraction are discuss in this paper from used various researchers.