Haha, actually it’s my bad, not a Linguist 😀

I’m not a native speaker, i still learn the language, but you can edit a post text on a github https://github.com/vitonsky/blog/blob/master/posts/2023/july/linguist/2023-07-13-linguist.md i would appreciate it

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Yes, the links you needs:

• Linguist docs about custom translators https://github.com/translate-tools/linguist/blob/master/docs/CustomTranslator.md
• Code of custom translator for a LibreTranslate https://github.com/translate-tools/linguist-translators/blob/master/translators/LingvaTranslator.js
• Guide to deploy a LibreTranslate on local machine https://github.com/LibreTranslate/LibreTranslate#install-and-run (or to use with docker: https://github.com/LibreTranslate/LibreTranslate#can-i-use-libretranslate-behind-a-reverse-proxy-like-apache2-or-caddy)

A LibreTranslate may download a gigabytes data once, to get AI models for all language directions, then translation will runs on your computer

You can make a language request in a issues of repository https://github.com/mozilla/firefox-translations-models/

You’re right, resources are limited and a new languages appears not so fast as we wants. Maybe Chinese developers will collaborate and release their own models for a Bergamot. Work with community are important to achieve the goal when we want to unify translation.

If you really needs to be private for now, you can try to deploy your own offline translation server locally (e.g. with a https://github.com/LibreTranslate/LibreTranslate) and use this translator with Linguist as a custom translator.

For now an embedded Bergamot Translator module does not support a Korean language, but thanks for your comment, i work on addding a new languages and your comment useful to demonstrate the importance a wide languages support.

With time a Korean language will supported, for now you can try to use a https://github.com/LibreTranslate/LibreTranslate as a Linguist custom translator (https://github.com/translate-tools/linguist/blob/master/docs/CustomTranslator.md). It will takes a time to configure your environment, but as result you can deploy a big AI model for text translation on your PC and use it with a Linguist if the private translation the key feature you needs for the Korean language