wordfreq/README.md
2015-07-08 18:48:33 -04:00

2.3 KiB

Tools for working with word frequencies from various corpora.

Author: Robyn Speer

Installation

wordfreq requires Python 3 and depends on a few other Python modules (msgpack-python, langcodes, and ftfy). You can install it and its dependencies in the usual way, either by getting it from pip:

pip3 install wordfreq

or by getting the repository and running its setup.py:

python3 setup.py install

To handle word frequency lookups in Japanese, you need to additionally install mecab-python3, which itself depends on libmecab-dev. These commands will install them on Ubuntu:

sudo apt-get install mecab-ipadic-utf8 libmecab-dev
pip3 install mecab-python3

Unicode data

The tokenizers used to split non-Japanese phrases use regexes built using the unicodedata module from Python 3.4, which uses Unicode version 6.3.0. To update these regexes, run scripts/gen_regex.py.

License

wordfreq is freely redistributable under the MIT license (see MIT-LICENSE.txt), and it includes data files that may be redistributed under a Creative Commons Attribution-ShareAlike 4.0 license (https://creativecommons.org/licenses/by-sa/4.0/).

wordfreq contains data extracted from Google Books Ngrams (http://books.google.com/ngrams) and Google Books Syntactic Ngrams (http://commondatastorage.googleapis.com/books/syntactic-ngrams/index.html). The terms of use of this data are:

Ngram Viewer graphs and data may be freely used for any purpose, although
acknowledgement of Google Books Ngram Viewer as the source, and inclusion
of a link to http://books.google.com/ngrams, would be appreciated.

It also contains data derived from the following Creative Commons-licensed sources:

Some additional data was collected by a custom application that watches the streaming Twitter API, in accordance with Twitter's Developer Agreement & Policy. This software only gives statistics about words that are very commonly used on Twitter; it does not display or republish any Twitter content.