wordfreq/tests/test_transliteration.py

from wordfreq import tokenize
from wordfreq.preprocess import preprocess_text


def test_transliteration():
    # "Well, there's a lot of things you do not understand."
    # (from somewhere in OpenSubtitles
    assert (
        tokenize("Па, има ту много ствари које не схваташ.", 'sr') ==
        ['pa', 'ima', 'tu', 'mnogo', 'stvari', 'koje', 'ne', 'shvataš']
    )
    assert (
        tokenize("Pa, ima tu mnogo stvari koje ne shvataš.", 'sr') ==
        ['pa', 'ima', 'tu', 'mnogo', 'stvari', 'koje', 'ne', 'shvataš']
    )

    # I don't have examples of complete sentences in Azerbaijani that are
    # naturally in Cyrillic, because it turns out everyone writes Azerbaijani
    # in Latin letters on the Internet, _except_ sometimes for Wiktionary.
    # So here are some individual words.

    # 'library' in Azerbaijani Cyrillic
    assert preprocess_text('китабхана', 'az') == 'kitabxana'
    assert preprocess_text('КИТАБХАНА', 'az') == 'kitabxana'
    assert preprocess_text('KİTABXANA', 'az') == 'kitabxana'

    # 'scream' in Azerbaijani Cyrillic
    assert preprocess_text('бағырты', 'az') == 'bağırtı'
    assert preprocess_text('БАҒЫРТЫ', 'az') == 'bağırtı'
    assert preprocess_text('BAĞIRTI', 'az') == 'bağırtı'


def test_actually_russian():
    # This looks mostly like Serbian, but was probably actually Russian.
    # In Russian, Google Translate says it means:
    # "a hundred out of a hundred, boys!"
    #
    # We make sure to handle this case so we don't end up with a mixed-script
    # word like "pacanы".

    assert tokenize("сто из ста, пацаны!", 'sr') == ['sto', 'iz', 'sta', 'pacany']
    assert tokenize("культуры", 'sr') == ["kul'tury"]


def test_alternate_codes():
    # Try language codes for Serbo-Croatian that have been split, and now
    # are canonically mapped to Serbian
    assert tokenize("культуры", 'sh') == ["kul'tury"]
    assert tokenize("культуры", 'hbs') == ["kul'tury"]