QA-ONLY INDEPENDENT FREQUENCY SOURCE ATTRIBUTION

wordfreq 3.1.1, Robyn Speer and contributors
https://github.com/rspeer/wordfreq
Existing workspace installation: .qa/simulation-python (not vendored here).
Used large_pl.msgpack.gz: 453,320 entries; 2,368,608 bytes.
SHA256 fac63e49c49ea2e39dd8a48152d7e54cec0920abbc59993088063ed5d9b528c2

Used for independent candidate/familiarity evidence and outsider probes only.
The raw corpus file is not redistributed here. Frequency values, ranked samples
and corpus-derived statistics in vocabulary-verification.json are derived from
wordfreq data under Creative Commons Attribution-ShareAlike 4.0:
https://creativecommons.org/licenses/by-sa/4.0/
They have been filtered to the board alphabet/lengths and compared with SJP.PL;
these transformations are QA evidence, not an automatically generated answer deck.
The wordfreq program is Apache-2.0; its frequency data has separate terms.
The accepted SJP.PL vocabulary and explicitly authored answer selection have the
separate CC BY 4.0 source terms recorded in word-list-pl-license.txt.

The installed wordfreq 3.1.1 package provides these upstream data notices:
`wordfreq` is freely redistributable under the Apache license (see
`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.

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

- The Leeds Internet Corpus, from the University of Leeds Centre for Translation
  Studies (<http://corpus.leeds.ac.uk/list.html>)

- Wikipedia, the free encyclopedia (<http://www.wikipedia.org>)

- ParaCrawl, a multilingual Web crawl (<https://paracrawl.eu>)

It contains data from OPUS OpenSubtitles 2018
(<http://opus.nlpl.eu/OpenSubtitles.php>), whose data originates from the
OpenSubtitles project (<http://www.opensubtitles.org/>) and may be used with
attribution to OpenSubtitles.

It contains data from various SUBTLEX word lists: SUBTLEX-US, SUBTLEX-UK,
SUBTLEX-CH, SUBTLEX-DE, and SUBTLEX-NL, created by Marc Brysbaert et al.
(see citations below) and available at
<http://crr.ugent.be/programs-data/subtitle-frequencies>.

I (Robyn Speer) have obtained permission by e-mail from Marc Brysbaert to
distribute these wordlists in wordfreq, to be used for any purpose, not just
for academic use, under these conditions:

- Wordfreq and code derived from it must credit the SUBTLEX authors.
- It must remain clear that SUBTLEX is freely available data.

These terms are similar to the Creative Commons Attribution-ShareAlike license.

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 gives statistics about words that are commonly used on
Twitter; it does not display or republish any Twitter content.
