...
The DeepL MT connector enhances translation capabilities through two distinctive features: glossaries and formality.
2.1 Formality
The formality feature enables users to choose between formal and informal tones, adapting the translation to suit the context and audience of the document. In particular, this feature determines the pronouns and related words used in your translation. The Automatic option will not favor any formality but try to use the context to find the translation with matching formality.
Please note that this feature is only available for some target languages. For more information, please refer to the DeepL documentation or contact DeepL directly.
...
2.2 Glossaries
Glossaries allow users to customize translations with specific vocabulary or terminology preferences, ensuring consistency throughout all MT requests.
Wordbee users have the option of integrating custom glossaries created in DeepL directly into their Wordbee MT profiles. By selecting these glossaries, they ensure that all translation requests processed through the MT profile consistently adhere to their specified terminology. However, it's important to note that for each language pair, only one glossary can be utilized, as DeepL's API can only process one glossary per MT request.
...
Moreover, users should be aware that only those glossaries created via the DeepL API are eligible for this integration. While DeepL offers glossary creation through their user interface and web app, these are not accessible via the API and cannot be used for this feature.
Another aspect of using DeepL glossaries is their immutability post-creation. To modify a glossary, users must delete the existing one and create a new version through the DeepL API. It's crucial for users to promptly update their Wordbee MT profiles whenever they change their DeepL glossaries. Failing to do so can lead to all MT requests being unsuccessful due to the use of deleted glossaries.
Glossaries are not supported for all language pairs available in DeepL. For more information, please refer to the DeepL documentation or contact DeepL directly.
...
Learn more
How to configure DeepL's formality feature in MT HiveGetting started with Machine Translation