Machine Learning Approaches For Acquisition Of Morphological Components To Revive The Likelihood Of Developing Language Assisted Tools For Tamil Languages

In the world of digital communication, interlinks between humans highly rely on the electronic gadgets incorporated through various media for their feasible communication. Computers play a vital role for the versatile modes of communication. Human influenced natural languages are the prime errand for the various aspects of communication. Modeling these natural languages to machine understandable mode is termed as the Natural language processing. Many machine learning approaches have been deployed to acquire the morphological components of natural languages. Better understanding of these morphological components can enliven the chance to edifice various language assisted tools to learn any natural languages in non-conceptual way. This paper visualizes the various machine learning approaches for understanding the morphological elements of natural languages and the equivalent learning tools to enhance the learning of the Tamil language.