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Document Translation now available in the Language Studio

Posted on by Microsoft Translator
A translated document
Paper tagged as ‘Translation’ on wooden table with books and mug

We are excited to announce the release of a new UI feature to translate documents in language studio without writing a single line of code. Enterprises can deploy this solution across their organization, enabling employees to translate documents on demand. The feature is powered by Azure Cognitive Services (ACS) Translator document translation API, which can translate documents in variety of formats preserving the original structure and format as in the source document.

Document translation experience in the language studio enables customers to easily evaluate and adopt the service by simply configuring their Azure Translator and Storage resources. Customers could scale and control the usage through Azure Active Directory (AAD) authentication.

This new experience leverages the full capabilities of the document translation service and offers more. You could translate documents from either your local system or Azure blob storage. Likewise, the translated documents could be either downloaded to your local system or stored in Azure blob storage. Optionally, you could specify the glossary or custom models to be used during translation.

Why should I use the language studio to translate documents?

    • Enterprise ready UI solution to translate documents securely.
    • Language studio does not store customer data.
    • Scale and control the usage through AAD authentication.
    • You can use your existing Azure account and translator resources.
    • Since it is a web app, you can access the feature from any operating system.

How do I use this feature?

    1. Sign In into the language studio using your Azure credentials.
    2. Click on ‘Document translation (Preview)’ tile.
    3. Configure your setup by choosing your Translator resource and Azure Storage account.
    4. Select source and target language(s).
    5. Choose the source document(s) from your local system or blob storage.
    6. Choose the destination for translated files as either blob storage upload or local system download.
    7. Translate!

You can monitor the status of current and previously submitted jobs through the ‘Job History’ page.

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