Fuente: https://github.com/chamilo/chamilo-lms/releases/download/v1.11.40/chamilo-1.11.40.zip sha256: 1cf4bf2cc7bae1ef1a1eff643235db1d552f78ddf4b6dd1e2d2dac9868679439 Snapshot independiente (rama huerfana); diffable vs 1.11.38. vendor incluido.
17 lines
1.1 KiB
Plaintext
17 lines
1.1 KiB
Plaintext
Libbrary of statistical profiles for language recognition
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The sample texts for dieffernt languages have been taken from
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Perl module: Lingua::LanguageGuesser - http://gensen.dl.itc.u-tokyo.ac.jp/LanguageGuesser/LanguageGuesser_demo.html
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Statistical Text Analysis - http://boxoffice.ch/pseudo/
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Some random sample texts have been taken from Wikiedia - http://wikipedia.org/
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All the sample texts should be UTF-8 encoded!
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To understand how does language recognition work you need to read the following remarkable work:
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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.
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http://citeseer.ist.psu.edu/cache/papers/cs/810/http:zSzzSzwww.info.unicaen.frzSz~giguetzSzclassifzSzcavnar_trenkle_ngram.pdf/n-gram-based-text.pdf
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License: GNU General Public License 3 as published by the Free Software Foundation (http://www.fsf.org/).
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Assembled by Ivan Tcholakov, <ivantcholakov@gmail.com>
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November, 2009 |