Supercharge your translations with Azure Translator

Table of Contents

1. Introduction
   • About The AI Show
   • Guest: Krishna, Principal Program Manager for Translator Service
2. Document Translation: What is it?
3. New Features in Document Translation
   • General Availability of Document Translation
   • Translating Documents at Scale
   • Preserving Formatting
   • Automatic Language Detection
   • Multiple Language Translation
   • Bringing Your Own Translation Memory
   • Custom Models and Glossaries
4. Prioritizing Features
   • Co-creation with Customers
   • Confidence of Partners
   • Use Case Scenarios
   • File Format Support
   • Secure Access to Storage
   • AAD Based Authentication
   • Future Enhancements
5. How Document Translation Works
   • Uploading Source Documents
   • Making a Translation Request
   • Retrieving Translation Results
6. Request Parameters and Options
   • Translating All Documents
   • Translating Specific Files
   • Optional Parameters: Custom Translation Model, Glossaries, and Filters
7. Preserving Document Structure and Layout
   • Same Format Translation
   • Structure and Layout Examples
8. Live Demonstration of Document Translation
   • Client App with Multiple File Formats
   • Uploading and Translating Documents
   • Preserved Layout and Structure
9. Developer Experience and SDKs
   • Code Samples and SDKs in Python and .Net
   • Future Release Plans
10. Additional Resources and Data Privacy
    • Documentation for Translator Offerings
    • Translator Portfolios and Data Privacy Policy
11. Conclusion

Document Translation: Translating Documents at Scale and Preserving Formatting with Azure Translator

In this episode of The AI Show, Krishna, the Principal Program Manager for Translator Service, discusses the exciting capabilities of Document Translation with Azure Translator. Document Translation is a powerful feature that enables users to easily translate large volumes of documents in various file formats into single or multiple target languages while preserving the original layout and structure. Krishna highlights the latest developments and features of Document Translation, including automatic language detection, translating documents in mixed languages, and the ability to bring your own translation memory or Create custom glossaries. Additionally, Krishna explains how the prioritization of features is driven by co-creation with customers, partner feedback, and addressing specific use case scenarios.

To demonstrate the functionality of Document Translation, Krishna showcases a client app that allows users to upload and translate Word documents and PowerPoint presentations. He emphasizes how the translated documents retain the same structure and layout as the source documents, including font styles, colors, tables, and more. Krishna also mentions the availability of code samples and SDKs in Python and .Net to enhance the developer experience. The data privacy policy of Azure Translator ensures that customer data used for translation is not persisted, providing a secure and confidential environment.

By the end of this episode, viewers will have gained a comprehensive understanding of Document Translation with Azure Translator and its potential applications for efficient and accurate multilingual document translation at scale while preserving formatting.

Highlights:

• Document Translation feature in Azure Translator enables easy translation of large volumes of documents in various file formats into single or multiple target languages while preserving layout and structure.
• Automatic language detection and translation of documents in mixed languages.
• Option to bring your own translation memory or create custom glossaries for more accurate translations.
• Prioritization of features based on customer feedback, partner collaboration, and specific use case scenarios.
• Live demonstration of Document Translation showcasing preserved structure and layout in translated documents.
• Developer experience enhanced through code samples and SDKs in Python and .Net.
• Strict data privacy policy ensuring no persistence of customer data used for translation.

FAQ:

Q: What is Document Translation in Azure Translator? A: Document Translation is a feature in Azure Translator that allows users to translate large volumes of documents in various file formats into single or multiple target languages while preserving the layout and structure of the original documents.

Q: Can Document Translation handle documents with mixed languages? A: Yes, Document Translation has the capability to automatically detect and translate documents in mixed languages, making it easy to translate diverse content.

Q: Can I use my own translation memory or create custom glossaries for Document Translation? A: Yes, Document Translation allows users to bring their own translation memory or create custom glossaries to enhance the accuracy and customization of translations.

Q: How are features prioritized in Document Translation development? A: Features in Document Translation are prioritized based on co-creation with customers, partner collaboration, addressing specific use case scenarios, and considering customer feedback to ensure that the service meets the needs of its users.

Q: Are there any code samples or SDKs available for developers? A: Yes, code samples and SDKs in popular programming languages like Python and .Net are provided to enhance the developer experience and facilitate the integration of Document Translation into applications.

Q: How is data privacy maintained during the translation process? A: Azure Translator follows a strict data privacy policy where no customer data used for translation is persisted, ensuring the confidentiality and security of the translated documents.