NDLI: Language discrimination via PPM model

Content Provider	IEEE Xplore Digital Library
Author	Celikel, E.
Copyright Year	2005
Description	Author affiliation: Ege Univ. Int. Comput. Inst., Izmir, Turkey (Celikel, E.)
Abstract	In this study, the lossless compression tool employing an adaptive statistical modeling technique called prediction by partial matching (PPM) is used for written language discrimination. PPM can well serve as a cryptographic tool in that, while encoding, as long as the algorithm itself is unknown to the third parties, it rearranges the plaintext in a hard-to-recover form. Furthermore, PPM algorithm yields lossless compression to far better rates (in bits per character - bpc) than that of many other conventional compression tools. Trained version of PPM, which uses training text to gather symbol frequencies, is employed during implementation. Language identification experiment results obtained by applying the PPM model on sample texts from English, French and Turkish corpora are given. The rate of success yielded that the performance of the system is highly dependent on the diversity, as well as the size of the target and training texts. In practice, if the training text itself is kept secret, the system would provide cryptographic security to promising degrees.
Starting Page	57
Ending Page	62
File Size	128830
Page Count	6
File Format	PDF
ISBN	0769523153
DOI	10.1109/ITCC.2005.182
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-04-04
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Natural languages Cryptography Predictive models Encoding Statistical distributions Probability Artificial neural networks Manuals Frequency Information security
Content Type	Text
Resource Type	Article

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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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