An Automatic Blank space-fill Multiple Choices Question Generation method is one of the research fields which is aim to support increasing demand for specialized educational system and active learning. An automatic blank space-fill generation method can proposed to form blank space-fill question (BFQ) with multiple choices (one correct answer and three choices).The crafting of such type of questions is time-consuming for teachers because making the BFQ from the external source material like textbooks and other electronic texts are a very tedious task. It can be generated in three parts, selecting the Descriptive sentence to ask the question, choose blank space of the resulting selected sentence and Search the choices which distract the learner from the correct answer of the question. Natural language Processing (NLP) techniques like Tokenization, Part-of-Speech tagging, Name Entity Recognition are applied on each of these sentences. The advantage of this automatic generation method (AGM) is to provide the services that make it easy for teachers to generate the BFQ and many other competitive exams in which the evaluation can be done through conducting multiple choice questions test (Quiz test).