• ISSN: 2382-6282 (Print); 2972-3108 (Online)
    • Abbreviated Title: Int. J. Lang. Lit. Linguist.
    • Frequency: Bimonthly
    • DOI: 10.18178/IJLLL
    • Editor-in-Chief: Dr. Jason Miin-Hwa Lim
    • Managing Editor:  Jennifer X. Zeng
    • Indexed by:   CNKI, Google Scholar, Crossref,
    • E-mail: ijlll_Editor@126.com
IJLLL 2015 Vol.1(2): 127-130 ISSN: 2382-6282
DOI: 10.7763/IJLLL.2015.V1.25

Domain Adaptation in Morphological Analysis

Prathyusha Kuncham, Chandu Khyathi Raghavi, Kovida Nelakuditi, and Dipti Misra Sharma

Abstract—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.

Index Terms—Morphology, domain adaptation, paradigm table.

The authors are with the International Institute of Information Technology, Hyderabad, India (e-mail: prathyusha.k@research.iiit.ac.in, chandukhyathi.raghavi@research.iiit.ac.in, dipti@iiit.ac.in, nelakuditi.kovida@research.iiit.ac.in).


Cite:Prathyusha Kuncham, Chandu Khyathi Raghavi, Kovida Nelakuditi, and Dipti Misra Sharma, "Domain Adaptation in Morphological Analysis," International Journal of Languages, Literature and Linguistics vol. 1, no. 2, pp. 127-130, 2015.

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