An implementation of Apertium based Assamese morphological analyzer

TL;DR

This paper presents an Assamese morphological analyzer based on Apertium's finite-state transducers, achieving 72.7% accuracy, addressing the complex morphology of the language for NLP applications.

Contribution

The work introduces a novel Apertium-based morphological analyzer specifically for Assamese, a language with complex morphology, with initial domain limitations.

Findings

Achieved 72.7% accuracy in morphological analysis

Demonstrated feasibility of using Apertium for Assamese morphology

Addressed the complexity of Assamese word structure

Abstract

Morphological Analysis is an important branch of linguistics for any Natural Language Processing Technology. Morphology studies the word structure and formation of word of a language. In current scenario of NLP research, morphological analysis techniques have become more popular day by day. For processing any language, morphology of the word should be first analyzed. Assamese language contains very complex morphological structure. In our work we have used Apertium based Finite-State-Transducers for developing morphological analyzer for Assamese Language with some limited domain and we get 72.7% accuracy