LANGUAGE IN INDIA

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Volume 17:10 October 2017
ISSN 1930-2940

Managing Editor: M. S. Thirumalai, Ph.D.
Editors: B. Mallikarjun, Ph.D.
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         L. Ramamoorthy, Ph.D.
         C. Subburaman, Ph.D. (Economics)
         N. Nadaraja Pillai, Ph.D.
         Renuga Devi, Ph.D.
         Soibam Rebika Devi, M.Sc., Ph.D.
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Additive Constructions in Kannada Language
Using AnnCorra Annotation Scheme

RoopasriNagathi R., M.A., M.Phil., Doctoral Scholar

Abstract

The present study investigates the annotation of Kannada additive constructions based on AnnCorra annotation scheme/ guidelines. AnnCorra annotation scheme is an annotation scheme based on Paninian Grammar Formalism, which is developed to annotate Indian languages. It makes easy to annotate Indian languages and said to be an extensive application on both free word-order languages and positional languages. It can be placed in Dependency approach, one of the syntactic approaches, which currently became a mainstream research area in both linguistics and computer science disciplines.

Additive constructions are coordinating constructions that use ‘and’ in English sentences. In Kannada, other than conjunct words such as mattu and ha¯gu ‘and’, other similar constructions use comma and alternatively the inclusive clitic ‘u¯’ etc. to indicate additive constructions. The main aim is to identify various issues while annotating the additive constructions in the Kannada language. The present study of Kannada additive constructions is based on a corpus of fifty annotated sentences. The purpose of the article is an attempt to exhibit the annotation of the additive conjuncts and follow the labels that have given in AnnCorr guideline. The article presents the application that extends the Paninian Grammar formalism to Kannada.

Keywords:Annotation, Additive Conjunct, Kannada, AnnCorra Guideline

Introduction

The present article is an effort to develop a Treebank for the Kannada language. A Treebank is a collection of syntactically annotated sentences in which the annotation has been manually checked. These syntactically annotated sentences are described and often come in the form of tree structures. The annotated linguistic resource is essential to develop the Natural Language Process (NLP). It (linguistics resources) can be used in both basic as well as advanced applications, such as Machine Translation, parser, etc.

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

RoopasriNagathi R., M.A., M.Phil.
Doctoral Scholar
Centre for ALTS
School of Humanities
University of Hyderabad
Hyderabad – 500046
Telengana
India
roopasri.nagathi@gmail.com

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