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South Asia Research
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Articles

A Morphological Processor for Malayalam Language

Sumam Mary Idicula

Sumam Mary Idicula holds a PhD in Computer Science from Cochin University of Science and Technology, and is a Reader in Computer Science at the Department of Computer Science, Cochin University of Science and Technology, Cochin, India. She has produced 20 technical papers in the proceedings of international conferences and journals. Her particular fields of interest are multilingual computing, natural language processing, intelligent agent-based systems and software engineering. Address: Department of Computer Science, Cochin University of Science and Technology, Cochin 682022, Kerala, India [email: sumam123{at}yahoo.com].

Peter S. David

Peter S. David holds an MTech in Computer Science and Engineering from IIT Chennai, and is a Reader in Computer Science at the Department of Computer Science, Cochin University of Science and Technology. His particular interests lie in natural language processing, software engineering, neural networks, and information engineering systems. He has published 18 technical papers in proceedings of international conferences and specialist journals. Address: Department of Computer Science, Cochin University of Science and Technology, Cochin 682022, Kerala, India [email: davidpeter123{at}yahoo.com].

Work on morphological analyzers (which are computer programmes) for Indian languages is conducted vigorously these days. Usually published in specialized journals, this rather technical work is briefly presented here to provide some insights to a wider readership into little-known aspects of current language work. The morphological strength of Malayalam as a major South Indian language justifies the use of thorough morphological processing, which is the first step in any natural language processing task. The project is aimed at building a morphological processor for language, with two main components: a morphological generator and a morphological analyzer. The computational model of the processor takes care of the processing of nouns, pronouns, verbs and modifiers. The results obtained are encouraging and the work can be extended to the creation of a full-fledged part-of-speech tagger for Malayalam and other Dravidian languages, since they all exhibit structural homogeneity.

Key Words: Dravidian languages • Malayalam • morphological analyzer • morphology • natural language processing • parts-of-speech tagger

South Asia Research, Vol. 27, No. 2, 173-186 (2007)
DOI: 10.1177/026272800702700203
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