💥 RuErrant

RuERRANT is an adaptation of the ERRANT metric to the Russian language. The adaptation was primarily done in https://github.com/Askinkaty/errant and further developed within SAGE. The changes to the original ERRANT implementation for English are the following:

  1. Basic parsing model changed to Spacy’s ru_core_news_lg.

  2. Included a dictionary of Russian words (main forms).

  3. Introduced detection of error correction types specific for Russian (degrees of adjectives, verb aspect).

  4. [our contribution] Introduced a simplified error correction typology:

    • CASE: spelling corrections including only character case change;

    • PUNCT: punctuation corrections;

    • YO: spelling corrections regarding “е”/”ё” substitutions;

    • SPELL: all other word-level spelling corrections.

  5. [our contribution] Introduced detection of multiple error correction types per word, e.g. “федор” -> “Фёдор” contains both CASE and YO corrections.

  6. [our contribution] Introduced detection of inner word punctuation corrections which covers joint (“AB”) vs. hyphen (“A-B”) vs. space (“A B”) word spelling. Corrections of this type are attributed to the SPELL category.

Scoring

To score model’s corrections against gold corrections, use a Scorer instance:

from sage.evaluation.scorer import Scorer

s = Scorer()

s.score(
    ["спел Кейс ее .", "спел Кейс ее ."],
    ["спелл кейс её !", "спелл кейс её !"],
    ["спел кейс её .", "спелл Кейс ее !"],
    metrics=["errant"]
)
>>> {'CASE_Precision': 100.0, 'CASE_Recall': 50.0, 'CASE_F1': 66.67,
     'YO_Precision': 100.0, 'YO_Recall': 50.0, 'YO_F1': 66.67,
     'SPELL_Precision': 100.0, 'SPELL_Recall': 50.0, 'SPELL_F1': 66.67,
     'PUNCT_Precision': 100.0, 'PUNCT_Recall': 50.0, 'PUNCT_F1': 66.67}