MIT License

Copyright (c) 2026 Siqi Chen
Copyright (c) 2026 歸藏 / op7418
Copyright (c) 2026 九月筍

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.

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Attribution Notes

This project is a Traditional Chinese (zh-TW) adaptation. The three copyright
lines above correspond to the following upstream projects, all MIT licensed:

1. blader/humanizer (original English version)
   Author: Siqi Chen
   Repository: https://github.com/blader/humanizer
   Contribution: 24 AI writing patterns, Wikipedia-based taxonomy,
                 double-review process, "Personality and Soul" section.

2. op7418/Humanizer-zh (Simplified Chinese version, derived from blader)
   Author: 歸藏 (op7418)
   Repository: https://github.com/op7418/Humanizer-zh
   Contribution: Chinese translation and the 5-dimension 50-point quality
                 scoring rubric.

3. humanizer-zh-tw (this project — Traditional Chinese conversion)
   Author: 九月筍
   Contribution: Traditional Chinese (zh-TW) conversion and Taiwan-localized
                 terminology.

Additional acknowledgment noted by op7418:
- hardikpandya/stop-slop (MIT)
  https://github.com/hardikpandya/stop-slop