QA-ONLY INDEPENDENT SOURCE ATTRIBUTION

spylls 0.1.7, Victor Shepelev and contributors
https://github.com/zverok/spylls
Used from the existing workspace installation for independent reverse-analysis
spelling validation. No Spylls package code is vendored in this staging folder.
The installed LICENSE is MPL 2.0 (the package metadata classifier differs);
retain the package's actual license if distributing the optional QA dependency.

wordfreq 3.1.1, Robyn Speer and contributors
https://github.com/rspeer/wordfreq
Used small_id.msgpack.gz (31,188 frequency entries), not unavailable large_id.
SHA256 6fd891027cd6395b5c038c0e6402fa7e107ffd8973f862053246b897beb1bcd3
Used for independent outsider probes and familiarity evidence only. The raw
corpus file is not vendored. Frequency figures, ranks and the top-350 outsider
sample reproduced in expansion-verification.json and supplement-verification.json
are derived from wordfreq data under CC BY-SA 4.0, with this attribution:
https://creativecommons.org/licenses/by-sa/4.0/
The program is Apache-2.0; its frequency data has separate terms. The generated
word list and explicitly authored answer selection use the separate hunspell-id
license described in word-list-id-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.
