NDLI: Language identification using Fuzzy-SVM technique

Content Provider	IEEE Xplore Digital Library
Author	Mishra, G. Nitharwal, S.L. Kaur, S.
Copyright Year	2010
Description	Author affiliation: Scientific Analysis Group, Defence Research and Development Organization, Ministry of Defence, Metcalfe house, Delhi-110054, India (Mishra, G.; Nitharwal, S.L.; Kaur, S.)
Abstract	Language Identification is an important issue in today's multilingual world. In this paper we have analyzed Fuzzy-SVM technique for identification of romanized plaintexts of five Indian regional languages namely Hindi, Bangla, Manipuri, Urdu and Kashmiri. Distinguishing features/characteristics have been extracted from romanized plaintexts of each of these five languages and represented suitably through Fuzzy Sets on a normalized scale. These normalized feature vectors are given as input to the Support Vector Machine (SVM) based classifier. For constructing the hyperplane in a higher dimension space Guassian Radial Basis Kernal function has been used. The proposed Pattern Recognition (PR) system is independent of the dictionaries of these languages and can even identify plaintext with unknown word boundaries. This PR system (Language Identifier) can be used for automatic segregation of plain texts of these languages while analyzing intercepted, multiplexed and interleaved Speech/Data/Fax communication. The proposed method significantly improves the classification accuracy compared to the other methods even for smaller text length messages.
Starting Page	1
Ending Page	5
File Size	100334
Page Count	5
File Format	PDF
ISBN	9781424465910
e-ISBN	9781424465927
DOI	10.1109/ICCCNT.2010.5592553
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-07-29
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Training Fuzzy sets Support vector machine classification Feature extraction Classification algorithms Kernel
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
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