Discourse Translator

Hey there, I noticed that many functions have recently been moved from discourse-translator to discourse-core. Could you share some context on the long-term plan behind this change?

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The Discourse AI provider on the translator plugin has been moved to Discourse AI itself. This simplifies configuration by a lot, and allows us to tap on Discourse AI’s LLM usage / persona functionalities.

As for the functions moved to Discourse core, they were all experimental features that had been in heavy development from the beginning of this year. Our team has decided to conclude this experiment. It was a successful one and we are seeing many requests for first-class multilingual support.

Sometime this month, we should be sharing an announcement on this feature which works best with Discourse AI.


Main features in Discourse Translator will still be in the plugin (see OP).

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Please, take in consideration adding DeepL to Discourse Translator and/or Discourse AI (DeepL is pioneer on AI).

Their translations are so good and makes a real difference:

This image shows the performance of various AI translation models in translating English/Chinese → Japanese, Japanese → English, Japanese → Chinese, and Chinese → English using BLEU scores. DeepL consistently outperforms other models in each translation direction. (Captioned by AI)

Love your cat, nat! :grinning_cat:


[EDIT] Just sharing more data here

Which machine translation provider do the world’s leading language services companies (LSCs) trust to deliver accuracy and efficiency?

The answer, in a new survey of 127 language companies across 28 countries, is clear and resounding: DeepL.

Blind tests also found that DeepL’s translations require fewer edits than competitors, with Google Translate needing 2x more edits and ChatGPT-4 needing 3x more edits to achieve the same quality.

In fact, in the 2024 study conducted by Forrester Consulting, “The Total Economic Impact™ of DeepL”, it was discovered that DeepL reduced translation time by 90% and cut translation workloads by 50%—resulting in a 345% ROI.

Its quality is superior because DeepL is created by the people who made Linguee, a dictionary that uses human translations.

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