Guess the natural language of a text
Project description
Slightly modified guess-language that’s faster.
Attempts to determine the natural language of a selection of Unicode (utf-8) text.
Based on guesslanguage.cpp by Jacob R Rideout for KDE which itself is based on Language::Guess by Maciej Ceglowski.
Detects over 60 languages - all languages listed in the trigrams directory plus Japanese, Chinese, Korean and Greek.
guess_language uses heuristics based on the character set and trigrams in a sample text to detect the language. It works better with longer samples and will be confused if the sample text includes markup such as HTML tags.
Usage
The main entry points all take a single string as input and return a language identifier. The string must be Unicode or UTF-8 text. The language identifer can be the language name in English, the two- or three-letter IANA language code, a language ID or a tuple containing all three codes.
The primary entry points, and the return values, are as follows:
guessLanguage(txt) - IANA language code guessLanguageTag(txt) - IANA language code (same as guessLanguage) guessLanguageName(txt) - Language name in English guessLanguageId(txt) - language ID guessLanguageInfo(txt) - tuple of (IANA code, id, name)
Note: I (Kent Johnson) am no longer using or maintaining this code. Phi-Long DO maintains a Python 3 version (with support for lib3to2) at https://bitbucket.org/spirit/guess_language. guess_language has also been ported to JavaScript (https://github.com/wooorm/franc) and R (https://github.com/MangoTheCat/franc).
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