LANGUAGE IN INDIA

Strength for Today and Bright Hope for Tomorrow

Volume 14:6 June 2014
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.
         C. Subburaman, Ph.D. (Economics)
Assistant Managing Editor: Swarna Thirumalai, M.A.

HOME PAGE

Click Here for Back Issues of Language in India - From 2001

BOOKS FOR YOU TO READ AND DOWNLOAD FREE!

REFERENCE MATERIAL

BACK ISSUES

  • E-mail your articles and book-length reports in Microsoft Word to languageinindiaUSA@gmail.com.

  • PLEASE READ THE GUIDELINES GIVEN IN HOME PAGE IMMEDIATELY AFTER THE LIST OF CONTENTS.

  • Your articles and book-length reports should be written following the APA, MLA, LSA, or IJDL Stylesheet.

  • The Editorial Board has the right to accept, reject, or suggest modifications to the articles submitted for publication, and to make suitable stylistic adjustments. High quality, academic integrity, ethics and morals are expected from the authors and discussants.

Copyright © 2012
M. S. Thirumalai
Custom Search

Design of Derivational Morphological Analyzer for Kannada Language

Bhuvaneshwari C Melinamath, Ph.D. Scholar

Abstract

We have developed a derivational morphological analyzer for Kannada Language. Derivational morphology deals with change of part of speech (POS) category from one basic category to another by the addition of derivational suffixes to the basic categories like noun, verbs and adjectives. Nouns can be derived from verbs and verbs can be derived from nouns and so on. There is no derivational morphological analyzer exists for Kannada. Existing systems have attempted only the inflectional morphology. The process of derivation is regular and productive in many instances for Kannada. But this is not true in all cases. Verbalizers are used in the process of derivation to verb. Nominalizers are used in derivation verb to noun. Finite state transducers are used for the implementation of the derivational analyzer. A set of verbs is used to derive verbs from adjective. Another set of pronoun suffixes are used to derive nouns form adjectives. The accuracy of derivation analyzer is around 90% in the case of nouns and around 85% in the case of verbs.

Keywords: Part of Speech (POS), Natural Language Processing (NLP), Finite State transducers (FST).

1. Introduction

Natural Language Processing (NLP) is an area which is concerned with the computational aspects of the human language. The goal of the NLP is to analyze and understand natural languages used by humans and to encode linguistic knowledge into rules or other forms of representation. Statistical and machine learning algorithms have taken a lead over complex linguistic grammar. There has been a great progress in natural language processing, through the use of statistical methods trained on large corpora.

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

Bhuvaneshwari C Melinamath Ph.D. Scholar
Department of Computer and Information Science
University of Hyderabad
Telangana
India
melinamathb@yahoo.com
Custom Search
  • Click Here to Go to Creative Writing Section

  • Send your articles
    as an attachment
    to your e-mail to
    languageinindiaUSA@gmail.com.
  • Please ensure that your name, academic degrees, institutional affiliation and institutional address, and your e-mail address are all given in the first page of your article. Also include a declaration that your article or work submitted for publication in LANGUAGE IN INDIA is an original work by you and that you have duly acknowledged the work or works of others you used in writing your articles, etc. Remember that by maintaining academic integrity we not only do the right thing but also help the growth, development and recognition of Indian/South Asian scholarship.