本地校对应用 Betty：用 Qwen3.5 4B 离线校对整本书稿，五种语言植入错误基准测试
Fully local copy-editing app for book-length manuscripts (Qwen3.5 4B) benchmarked against planted errors across five languages
数据科学家推出本地校对应用 Betty，基于 Qwen3.5 4B 离线校对整部小说，并用五种语言的植入错误做了基准测试。它通过重叠分块处理文本，结合 LanguageTools 与 HunSpell 先筛出拼写错误，再让模型专注 There/Their 这类非拼写错误，并采用作者在环的滑动式接受/忽略界面。项目已在 GitHub 开源，目前约 30 名用户在用。
Hey y'all!
I have a pet project that has grown out of proportions. Long story short: I'm a data scientist who writes fantasy books and self-publish them. I think it's a genuine waste of human life to check for spelling errors so I figured AI could help. Turns out, it is not so simple to get an AI to properly fix a 120k words manuscript ;)... That's why I created Betty!
It runs Qwen3.5 4B as an offline copy editor for whole novels — and this is some of what I learned fighting tens-of-thousands of words through a 4B model, insisting that (most) users can use it fully for free and fully offline. Because, let's be honest: authors rightfully distrust and generally hate AI companies.
First challenge: Chunking the text. Authors already do this, in the darkest hours of the night, copy-pasting snippets into chatGPT for some shameful feedback. Problem with that approach: super inefficient, both for the author and the environment. And the context is missing at the edges of each chunk. I fixed it by ensuring chunks to overlap.
Second challenge: AI misses genuine errors. So, I added two conventional spell controllers -- LanguageTools and HunSpell. This already surfaces all spelling errors, letting the AI focus on suggested fixes and on all the "non-error" errors, such as "There" vs "Their". For these, the AI searches, while a Python script surfaces all the common culprits for the model to pay special attention.
Third challenge: Error rate. First off, Betty doesn't capture everything. Second off, it sometimes introduces its own mistakes. I fix it by putting the writer-in-the-loop, and there's a super smooth interface now for the author to accept and dismiss suggested edits (tinder-style with left and right swipes ; ) ).
I'd be super grateful for any advice, feedback, and thoughts you might have on this project. I currently have it up-and-running with about 30 users and getting some user feedback. Northing technical though, so this is what I'd love to have more of.
Full thing is source-available on GitHub, and can be found for download and lots more information at www.bethaniel.eu
submitted by /u/ToothClassic7635
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来源：r/LocalLLaMA · reddit.com