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Domain Adaptation in Morphological AnalysisAuthors: prathyusha.k ,Kovida Nelakuditi,Chandu Khyathi Raghavi,Dipti Misra Sharma Conference: International Journal of Languages, Literature and Linguistics, Vol. 1, No. 2, June 2015 (http://www.ijlll.org/vol1/25-X00053.pdf 2014) Date: 2014-12-27 Report no: IIIT/TR/2014/102 AbstractMorphological 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. Full paper: pdf Centre for Language Technologies Research Centre |
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