The A.I. models behind Google Translate – with K. Stevens from Google
The just-announced Pixel Buds, that translates conversations almost in real time, would never have been possible without the recent improvements of Google Translate. What are the different models used behind Google Translate? How to understand and analyze the way Google Translate works? What’s Natural Language Processing, and how to integrate it into a product?
For this talk, we’ll have the chance to welcome an engineer directly working on Google Translate, Keith Stevens. Keith will talk about how different Neural Network-based Natural Language Processing models can provide solutions to real user needs. While some problems are not yet fully solved with these models, he’ll also explain how they provide dramatically better answers for users needing automatic machine translation for text, document summarization, question answering, and even image captioning. Lastly, he’ll cover at a high level how these models work, what’s needed to train them, and some issues in deploying them within a product.
ApéroTalk is our events series based on a very simple (and very French) concept: Apéro and Talk.
• 7:00 pm – Door opens
• 7:30 pm – Talk and Q&A by Keith
• 8:30 pm – Networking session
About Keith Stevens
Keith has been working on Google Translate for the last 5 years. He currently focuses on building tools to understand why Translate makes its decisions and what the neural machine translation model is really learning.
Previously he’s worked on crowdsourcing and internal infrastructure for translate after and researched semantic representations methods in a PhD program.
About Le Wagon Tokyo
Le Wagon Tokyo is a codingschool for startups, creative people and tech entrepreneurs. Our 9-week Full-Stack Coding Bootcamp is designed for complete beginners or “half-beginners” who really want to dive into programming and, above all, change their mindset. Learn to think like a developer, consider issues with new insight, and become more autonomous thanks to these newly acquired abilities.