Julio Montoya fe5db3a50e Remove unused code. Cleaning up i18n library. %!s(int64=9) %!d(string=hai) anos
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language_profiles 94984e6b12 merge %!s(int64=10) %!d(string=hai) anos
sample_texts 94984e6b12 merge %!s(int64=10) %!d(string=hai) anos
index.html 94984e6b12 merge %!s(int64=10) %!d(string=hai) anos
readme.txt cbf2d50681 Updating license information for the internationalization library. %!s(int64=14) %!d(string=hai) anos

readme.txt

Libbrary of statistical profiles for language recognition
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The sample texts for dieffernt languages have been taken from
Perl module: Lingua::LanguageGuesser - http://gensen.dl.itc.u-tokyo.ac.jp/LanguageGuesser/LanguageGuesser_demo.html
Statistical Text Analysis - http://boxoffice.ch/pseudo/
Some random sample texts have been taken from Wikiedia - http://wikipedia.org/

All the sample texts should be UTF-8 encoded!

To understand how does language recognition work you need to read the following remarkable work:
W. B. Cavnar and J. M. Trenkle. N-gram-based text categorization. Proceedings of SDAIR-94, 3rd Annual Symposium on Document Analysis and Information Retrieval, 1994.
http://citeseer.ist.psu.edu/cache/papers/cs/810/http:zSzzSzwww.info.unicaen.frzSz~giguetzSzclassifzSzcavnar_trenkle_ngram.pdf/n-gram-based-text.pdf

License: GNU General Public License 3 as published by the Free Software Foundation (http://www.fsf.org/).
Assembled by Ivan Tcholakov,
November, 2009