An implementation of Apertium based Assamese morphological analyzer
This work addresses a domain-specific need for Assamese language processing, but it is incremental as it applies an existing method (Apertium) to a new language with limited scope.
The authors tackled the problem of morphological analysis for the Assamese language, which has complex structure, by developing a morphological analyzer using Apertium-based Finite-State Transducers, achieving an accuracy of 72.7%.
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