nltk.PunktSentenceTokenizer.__init__

PunktSentenceTokenizer.__init__(train_text=None, verbose=False, lang_vars=<nltk.tokenize.punkt.PunktLanguageVars object>, token_cls=<class 'nltk.tokenize.punkt.PunktToken'>)[source]

train_text can either be the sole training text for this sentence boundary detector, or can be a PunktParameters object.