LANGUAGE IN INDIA

Strength for Today and Bright Hope for Tomorrow

Volume 11 : 5 May 2011
ISSN 1930-2940

Managing Editor: M. S. Thirumalai, Ph.D.
Editors: B. Mallikarjun, Ph.D.
         Sam Mohanlal, Ph.D.
         B. A. Sharada, Ph.D.
         A. R. Fatihi, Ph.D.
         Lakhan Gusain, Ph.D.
         Jennifer Marie Bayer, Ph.D.
         S. M. Ravichandran, Ph.D.
         G. Baskaran, Ph.D.
         L. Ramamoorthy, Ph.D.

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An Implementation of APERTIUM Morphological Analyzer
and Generator for Tamil

Parameshwari K

Abstract

A Morphological Analyzer and Generator are two crucial tools involving any Natural Language Processing of Dravidian Languages. The present paper discusses the improvization of the existing Morphological Analyzer and Generator for Tamil by defining and describing the relevant linguistic database required for the purpose of developing them. The implementation of an open source platform called Apertium to handle inflection as well as derivation for word level analysis and generation of Tamil is also discussed. The paper also presents the efficacy, coverage and speed of the module against the large corpora. The paper also draws inferences of the morphological categories in their inflection and problems in analysing them.

I. INTRODUCTION

A language like Tamil is regarded as morphologically rich wherein the words are formed of one or more stems/roots plus one or more suffixes. So the complexity of morphology requires a more sophisticated morphological analyzer and generator. A morphological analyzer is a computational tool to analyze word forms into their roots along with their constituent functional elements. The morphological generator is the reverse process of an analyzer i.e. from a given root and functional elements, it generates the well-formed word forms. The present attempt involves a practical adoption of lttoolbox for the Modern Standard Written Tamil in order to develop an improvised open source morphological analyzer and generator. The tool uses the computational algorithm called Finite State Transducers for one-pass analysis and generation, and the database is based on the morphological model called Word and Paradigm.

This is only the beginning part of the article. PLEASE CLICK HERE TO READ THE ARTICLE IN PRINTER-FRIENDLY VERSION.

Parameshwari K.
CALTS, University of Hyderabad
Hyderabad-500046
Andhra Pradesh, India
parameshkrishnaa@gmail.com
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