Feature unification for morphological parsing in Bangla

Abstract

This paper describes a Feature Unification Based Word Grammar model for the morphological parsing of Bangla words. While normal morphological parsing strategy is adequate to decompose a word into morphemes, it is not able directly to compute the part of speech of a derivationally complex word or return a word's inflectional features--precisely the information required for syntactic parsing. These deficiencies have now been remedied by adding a unification-based word grammar component which can provide parse trees and feature structures. In addition to that, feature unification lessens the number of lexicon classes (less space) and actually reduces the complexities regarding morphotactic analysis.