Today we’re joined by Arul Menezes, a Distinguished Engineer at Microsoft.
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Arul, a 30 year veteran of Microsoft, manages the machine translation research and products in the Azure Cognitive Services group. In our conversation, we explore the historical evolution of machine translation like breakthroughs in seq2seq and the emergence of transformer models.
We also discuss how they’re using multilingual transfer learning and combining what they’ve learned in translation with pre-trained language models like BERT. Finally, we explore what they’re doing to experience domain-specific improvements in their models, and what excites Arul about the translation architecture going forward.
Thanks to our Sponsor!
Thanks to Microsoft for their support for the show, and their sponsorship of this series of episodes highlighting just a few of the fundamental innovations behind Azure Cognitive Services! Cognitive Services is a portfolio of domain-specific capabilities that brings AI within reach of every developer—without requiring machine-learning expertise. All it takes is an API call to embed the ability to see, hear, speak, search, understand, and accelerate decision-making into your apps. Visit aka.ms/cognitive to learn how customers like Volkswagen, Uber, and the BBC have used Azure Cognitive Services to embed services like real-time translation, facial recognition, and natural language understanding to create robust and intelligent user experiences in their apps. While you’re there, you can take advantage of the $200 credit to start building your own intelligent applications when you open an Azure Free Account.
Connect with Arul!
- When you’re done with today’s show, check out this episode of the Microsoft Research Podcast!
- Spatial Analysis for Real-Time Video Processing with Adina Trufinescu
- How Deep Learning has Revolutionized OCR with Cha Zhang
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“More On That Later” by Lee Rosevere licensed under CC By 4.0