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Python for NLP and the Natural Language Toolkit - page 10 / 47

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NLTK: Example Modules

nltk.token: processing individual elements of text, such as words or sentences.

nltk.probability: modeling frequency distributions and probabilistic systems.

nltk.tagger: tagging tokens with supplemental information, such as parts of speech or wordnet sense tags.

nltk.parser: high-level interface for parsing texts.

nltk.chartparser: a chart-based implementation of the parser interface.

nltk.chunkparser: a regular-expression based surface parser.

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