NDLI: Suffix stripping algorithm for Kannada information retrieval

Content Provider	IEEE Xplore Digital Library
Author	Hegde, Y. Kadambe, S. Naduthota, P.
Copyright Year	2013
Description	Author affiliation: NIEIT, Mysore, India (Hegde, Y.) \|\| SAS, El Segundo, CA, USA (Kadambe, S.)
Abstract	Due to the explosion of usage of the internet and websites a huge amount of data on the web is available in languages other than English. Hence, it is important to develop Information Retrieval (IR) tools for other languages too for web searches. This is as challenging as developing an IR tool for English since each language has unique characteristics of its own. In the development of an IR tool for a particular language we need to consider the specifics of that language. Due to unique characteristics of each language, many efficient algorithms developed for the IR in English language cannot be used directly. Here we consider a south Indian language Kannada and propose a suffix stripping algorithm. This algorithm is for the Kannada text available on-line in unicode. It is a rule based approach that strips fourteen different major classifications of suffixes (pratyaya in Kannada) and some sub classes. It also covers suffixes associated with nouns, verbs, articles, adjectives and stop words. This algorithm will be very useful to rank Kannada documents( that are represented by a bag-of-words) based on relevance upon a query in web searches. It can also be used in Kannada (i) text extraction, (ii) natural language processing tools and (iii)speech recognition engines. We have implemented this suffix stripping stemming algorithm and have evaluated it using Kannada documents from “Kendasampige” a web based magazine with and without our stemming algorithm. We used several metrics for the evaluation. Our results indicate that the recall factor is much better after stemming. This promising preliminary results imply the applicability of this algorithm to the above mentioned applications.
Starting Page	527
Ending Page	533
File Size	381448
Page Count	7
File Format	PDF
ISBN	9781479924325
e-ISBN	9781467362177
DOI	10.1109/ICACCI.2013.6637227
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-08-22
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Kannada Instruments Suffix Stripping Information Retrieval Foot Stemming
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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