translator.create_glossary() forces to remove regional variant about deepl-python HOT 3 OPEN

Sorry, can you clearly describe (maybe with sample code) what you are doing and what error you get?

1. Glossaries don't have a regional variant attached to them, so "EN" is correct as the source or target language of a glossary.
2. It should then be possible to use glossaries for all variants of their associated language.

3. "EN-US" as the source language
   This sounds like the issue - the source language would have to be "EN". Regional variants are only supported for target languages. The error you get seems to be wrong though, I can follow up on this.

You can read more on this differentiation in the documentation here

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Sure, here is the sample code,
g = translator.create_glossary("GITCG_en_to_jp", 'EN-US', 'JA', dict_en_to_jp )
result = translator.translate_text(clean_text, source_lang=source_lang, target_lang=target_lang, glossary=g, ).text
In the first line, I tried to store the glossary with "EN-US" as the source language. The function "create_glossary" will automatically convert the source language into "EN". But it brings problem in the second line, when I tried to use "EN-US" as the source_lang, it returned "source_lang and target_lang must match glossary" error; when I tried to use "EN" as the source_lang, it returned "target_lang="EN" is deprecated, please use "EN-GB" or "EN-US" instead" error. So this is the error I have met and I hope I made it clear to you.

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Yes, like I said - we differentiate between source and target languages

1. "EN" is a valid source language
2. "EN-US" is an invalid source language
3. "EN" is an invalid target language
4. "EN-US" is a valid target language

So in your code, the following should work:

source_lang = "EN"
target_lang = "JA"
g = translator.create_glossary("GITCG_en_to_jp", source_lang, target_lang, dict_en_to_jp )
result = translator.translate_text(clean_text, source_lang=source_lang, target_lang=target_lang, glossary=g, ).text

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