Ascertaining the morphological components of Tamil language using unsupervised approach
Ananthi Sheshasaayee, Angela Deepa. V.R · 2016
The learning of morphological components in a natural language by means of segmentation of words to identify the prime chores of stems and affixes lead to effective morphological analysis. Morphological segmentation is an important step in the analysis of natural languages to identify its intricate properties. Remarkable approaches been used in order to construct an effective morphological segmentation framework to study the highly agglutinative Tamil language. This paper focus on unsupervised means of segmenting Tamil lexicons by using a novel algorithm across various parameters. The proposed work shows a promising result in favour to the identification of morphemes with their suffixes.