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How to use the autocorrect.utils.zero_default_dict 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 / nlp_parser.py View on Github

def parse(lang_sample):
    """tally word popularity using novel extracts, etc"""
    words = words_from_archive(lang_sample, include_dups=True)
    counts = zero_default_dict()
    for word in words:
        counts[word] += 1
    return set(words), counts