Algorithmic Programming Language Identification

Computer Science – Learning

Scientific paper

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11 pages. Code: https://github.com/simon-weber/Programming-Language-Identification

Scientific paper

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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