Role of Machine Learning in Natural Language Processing
Introduction
Machine Learning and Natural Language Processing are important subfields of Artificial Intelligence that have gained prominence in recent times. Machine Learning and Natural Language Processing play a very important part in making an artificial agent into an artificial ‘intelligent’ agent. An Artificially Intelligent system can accept better information from the environment and can act on the environment in a user-friendly manner because of the advancement in Natural Language Processing.
Similarly, an Artificially Intelligent System can process the received information and perform better predictions for its actions because of the adoption of Machine Learning techniques.
Machine Learning gives the system the ability to learn from past experiences and examples. General algorithms perform a fixed set of executions according to what it has been programmed to do so and they do not possess the ability to solve unknown problems. And, in the real world, most of the problems faced contain many unknown variables which makes the traditional algorithms very less effective. This is where machine learning comes