word_frequency

<p>A dataset of the 150k most frequently used English words, extracted by
Peter Norvig from the Google Web Trillion Word Corpus. Frequencies are
multiplied by 100.</p>

data

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'
<https://spacy.io> or 'CoreNLP' <https://stanfordnlp.github.io/CoreNLP/>.
Exposed annotation tasks include tokenization, part of speech tagging, named
entity recognition, and dependency parsing.

Taylor Arnold

cleanNLP

word_frequency: Most frequent English words

Description

Arguments

References