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cleanNLP (version 3.0.3)
A Tidy Data Model for Natural Language Processing
Description
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 two Python back ends with 'spaCy'
or 'CoreNLP' .
Exposed annotation tasks include tokenization, part of speech tagging, named
entity recognition, and dependency parsing.