Common Parlance
Copyright 2026 Common Parlance Contributors

This product is licensed under the Apache License, Version 2.0 (see LICENSE).
The conversation dataset it produces is licensed separately under ODC-BY 1.0
(see LICENSE-DATASET).

This product includes third-party material:

1. gitleaks DefaultStopWords
   Source:  https://github.com/gitleaks/gitleaks
   License: MIT
   Used in: src/common_parlance/_stopwords.py and worker/src/stopwords.js
            (the developer/technology vocabulary portion of the secret-scrubber
            false-positive stopword set).

   The MIT License requires retention of the following notice:

     Copyright (c) 2019 Zachary Rice

     Permission is hereby granted, free of charge, to any person obtaining a
     copy of this software and associated documentation files (the "Software"),
     to deal in the Software without restriction, including without limitation
     the rights to use, copy, modify, merge, publish, distribute, sublicense,
     and/or sell copies of the Software, and to permit persons to whom the
     Software is furnished to do so, subject to the following conditions:

     The above copyright notice and this permission notice shall be included in
     all copies or substantial portions of the Software.

     THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
     IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
     FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
     AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
     LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
     FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER
     DEALINGS IN THE SOFTWARE.

2. hackerb9/gwordlist — frequency-alpha-alldicts
   Source:  https://github.com/hackerb9/gwordlist
   License: CC-BY 3.0  (https://creativecommons.org/licenses/by/3.0/)
   Author:  hackerb9 (derived from the Google Books n-gram dataset)
   Used in: src/common_parlance/_stopwords.py and worker/src/stopwords.js
            (the common-English vocabulary portion of the stopword set).

   Per CC-BY 3.0, attribution is given to the author and the source above; the
   data was filtered (lowercase, length >= 4) and merged with source (1).
