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Algorithmic Programming Language Identification
release_e4tdjjdhfba5ffakiwwmmzf6qi
by
David Klein,
Kyle Murray,
Simon Weber
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as a article
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2011
Abstract
Motivated by the amount of code that goes unidentified on the web, we
introduce a practical method for algorithmically identifying the programming
language of source code. Our work is based on supervised learning and
intelligent statistical features. We also explored, but abandoned, a
grammatical approach. In testing, our implementation greatly outperforms that
of an existing tool that relies on a Bayesian classifier. Code is written in
Python and available under an MIT license.
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1106.4064v1
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