Hello, I decided to come here as I'm unsure to understand the translation memory server options we have with Weblate.
this page describe the basics, and it says translation memory is active by default: https://docs.weblate.org/en/latest/admin/memory.html But in the example settings.py, it looks like desactivated: https://github.com/WeblateOrg/weblate/blob/weblate-3.5.1/weblate/settings_example.py#L544 I'm also a little bit confused with the MT_TMSERVER variables. Here is some more documentation about machine translation: https://docs.weblate.org/en/latest/admin/machine.html There two titles related to weblate: "Weblate" and "Weblate Translation Memory". In addition, it looks like we could use three more open-source options: "tmserver", "Apertium" and "Amagama". My usecase is as-follow: I'm maintainer of Weblate's YunoHost package: https://github.com/YunoHost-Apps/weblate_ynh and users are individuals or little organization (mostly non governmental organization, little size company and individuals) So... What good enough translation-memory should I provide for YunoHost users? Any closed source service or external service are excluded. Thanks a lot for your help! -- Jean-Baptiste Holcroft _______________________________________________ Weblate mailing list [email protected] https://lists.cihar.com/cgi-bin/mailman/listinfo/weblate
