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How to use the autocorrect.nlp_parser.NLP_COUNTS.get function in autocorrect

To help you get started, we’ve selected a few autocorrect examples, based on popular ways it is used in public projects.

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phatpiglet / autocorrect / autocorrect / spell.py View on Github

def spell(word):
    """most likely correction for everything up to a double typo"""
    w = Word(word)
    candidates = (common([word]) or exact([word]) or known([word]) or
                  known(w.typos()) or common(w.double_typos()) or
                  [word])
    correction = max(candidates, key=NLP_COUNTS.get)
    return get_case(word, correction)