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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.
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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 you 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 you change their your 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.
2.3 Context
Leveraging DeepL's context parameter, users have the capability to include prompts to each MT request that boost the precision of translations. DeepL recommends this feature, especially when dealing with brief, low-context texts such as product names on e-commerce sites, article headlines, or UI elements.
In Wordbee, input the context prompt in the Context section to apply it with each use of this machine translation profile.
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Alpha Feature This feature is marked as an alpha feature in DeepL's documentation, highlighting the possibility of deprecation and varying machine translation (MT) results with new versions. For feedback, contact DeepL at api-feedback@deepl.com. |
For more information about the context parameter and its application, please refer to the DeepL documentation or contact DeepL directly.
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