Domain Adaptation in Morphological Analysis
Prathyusha Kuncham, Chandu Khyathi Raghavi, Kovida Nelakuditi, Dipti Misra Sharma · International Journal of Languages Literature and Linguistics · 2015
Morphological Analysis is a major component in many Natural Language Processing (NLP) applications.The performance of general purpose morphological analyzer (GMA) degrades when used for a particular domain.In this paper we present our effort in developing a domain specific morphological analyzer (DMA) whose architecture is an extension of the existing paradigm based GMA.The method involves identifying domain specific words from a raw text and assigning a paradigm class to them.The proposed method is language independent and has been tested on domain specific Hindi data.The results show 90.60% coverage which is an increase by 6% over GMA and accounts for 25.39% of unanalyzed words.