cleanNLP

A Tidy Data Model for Natural Language Processing

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Provides a set of fast tools for converting a textual corpus into a set of normalized tables. Users may make use of the 'udpipe' back end with no external dependencies, or a Python back ends with 'spaCy' https://spacy.io. Exposed annotation tasks include tokenization, part of speech tagging, named entity recognition, and dependency parsing.

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