NDLI: Text studies towards multi-lingual content mining for web communication

Content Provider	IEEE Xplore Digital Library
Author	Prakash, K.B. Rangaswamy, M.A.D. Raman, A.R.
Copyright Year	2010
Description	Author affiliation: Dept. of Computer Science & Engg., Easwari Engineering College, Chennai, India (Rangaswamy, M.A.D.) \|\| Sathyabama University Chennai, India (Prakash, K.B.) \|\| IIT MADRAS, Chennai, India (Raman, A.R.)
Abstract	Communication through web is becoming increasingly popular thanks to wireless and cellular networks. As this awareness spreads far and wide in different countries, significant complexities arise in terms of language and communication means for extracting information on the web. This is particularly true in India where more than fifteen officially recognized language texts and more variations in local dialect exist. An example is in Tamilnadu where Tamizh, native language with its own variations like Chennai, Madurai and Coimbatore dialects is combined effectively and easily with other languages Telugu, Kannada and Malayalam from nearby states and English and Hindi from global and national perspectives. So a web document here could be in any one of the languages or a mixture of words from different languages to avoid translation like ‘computer’ of English doesn't have translation in Tamizh. There are several aspects to this variational usage with language protagonists and communication engineers. But the complexity in the web document due to these variations does create difficulties in using conventional data mining approaches. The present study focuses attention on this, beginning from text variations to word and document. Typical characters which have similar usage like ‘a’ in English with those in Tamizh and Telugu are taken and their pixelmaps are mapped for similarity and contrasts. This is later extended to more complex characters like ** in Telugu which is one character as compared to its English equivalent ‘kO’ making representations difficult. When one starts looking at words, complexity increases as ‘temple’ in English translated as ‘**’ in Telugu or mandiram written in English. Similarities in pixel-maps are looked at and characteristics in terms of matrices are projected so that mining content when such words or letters are extracted in web document can be put in a probabilistic format with predictions based on correlations. Typical histograms highlighting these aspects are presented and later an experiment with a document page dealing with magnetism is used as model-l for predicting content.
Starting Page	28
Ending Page	31
File Size	255707
Page Count	4
File Format	PDF
ISBN	9781424490073
e-ISBN	9781424490097
DOI	10.1109/TISC.2010.5714601
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-12-17
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computers Web pages Multimedia databases Feature extraction Complexity theory Data mining Pixel
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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