The many machine learning ways of Google Translate - ApéroTalk with K. Stevens

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We're excited to collaborate with Le Wagon Tokyo for our next ML talk and welcome Keith Stevens from Google.

Keith will cover recent innovations in machine translation published by the team behind Google Translate. Learn how these models are getting bigger, how they're solving more complex tasks like simultaneous translation, and how embedding methods can be used to find and clean data. We'll go into depth about what problem each of these efforts are trying to solve, hear what new approaches are being used, and detail lessons learned while working on these challenges.

ApéroTalk is a Le Wagon event series based on a very simple (and very French) concept: Apéro and Talk.

7:00 pm - Doors open
7:30 pm - Talk and Q&A by Keith
8:30 pm - Networking session

Keith Stevens has been on Google Translate for nearly years 7 years. His primary focus has been finding or creating the best data possible for improving Google Translate. This work has ranged from Crowdsourcing systems to neural based data cleaning techniques and automated parallel data mining.

Le Wagon Tokyo ( is a coding school for startups, creative people and tech entrepreneurs. The 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.

A huge thank you goes out to Impact Hub Tokyo for having us.

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