How to use the ginza.japanese_corrector.JapaneseCorrector function in ginza

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github megagonlabs / ginza / ginza / command_line.py View on Github external
):
    if require_gpu:
        spacy.require_gpu()
        print("GPU enabled", file=sys.stderr)
    if model_path:
        nlp = spacy.load(model_path)
    else:
        nlp = spacy.load('ja_ginza')
    if disable_pipes:
        print("disabling pipes: {}".format(disable_pipes), file=sys.stderr)
        nlp.disable_pipes(disable_pipes)
        print("using : {}".format(nlp.pipe_names), file=sys.stderr)
    if recreate_corrector:
        if 'JapaneseCorrector' in nlp.pipe_names:
            nlp.remove_pipe('JapaneseCorrector')
        corrector = JapaneseCorrector(nlp)
        nlp.add_pipe(corrector, last=True)

    if mode == 'A':
        nlp.tokenizer.mode = OriginalTokenizer.SplitMode.A
    elif mode == 'B':
        nlp.tokenizer.mode = OriginalTokenizer.SplitMode.B
    elif mode == 'C':
        nlp.tokenizer.mode = OriginalTokenizer.SplitMode.C
    else:
        raise Exception('mode should be A, B or C')
    print("mode is {}".format(mode), file=sys.stderr)
    if not use_sentence_separator:
        print("disabling sentence separator", file=sys.stderr)
        nlp.tokenizer.use_sentence_separator = False

    if output_path:
github megagonlabs / ginza / ginza / __init__.py View on Github external
Language.factories['JapaneseCorrector'] = lambda nlp, **cfg: JapaneseCorrector(nlp)

ginza

GiNZA, An Open Source Japanese NLP Library, based on Universal Dependencies

MIT
Latest version published 7 months ago

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