Processing Natural Language and grading it using Artificial Intelligence

Abstract

Online Test are conducted now a days to evaluate a person's knowledge regarding a subject. The best way to evaluate a person's understanding regarding a subject is to let him answer the question in his natural language. But the situation is this that we don't have such systems which can examine a users natural language answers. Hence, I propose a unified neural network architecture approach that can be applied to various natural language processing tasks including part-of-speech tagging, chunking, named entity recognition, and other tasks. Natural language processing is an area of artificial intelligence that defines a set of methods and techniques used to automate the translation process between computers and humans or mediate the human-machine communication. Also we will be grading the answer given by the user, so the refined output of NLP will be given for further processing. Once the overall processing of the answer is done we will get the grades out of 10 by applying some formulas to the passage, sentences and there words.