Spence Green — Enterprise-scale Machine Translation

Spence shares his experience creating a product around human-in-the-loop machine translation, and explains how machine translation has evolved over the years.

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Spence Green is co-founder and CEO of Lilt, an AI-powered language translation platform. Lilt combines human translators and machine translation in order to produce high-quality translations more efficiently.

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🌟 Show notes:

- http://wandb.me/gd-spence-green

- Transcription of the episode

- Links to papers, projects, and people

⏳ Timestamps:

0:00 Sneak peak, intro

0:45 The story behind Lilt

3:08 Statistical MT vs neural MT

6:30 Domain adaptation and personalized models

8:00 The emergence of neural MT and development of Lilt

13:09 What success looks like for Lilt

18:20 Models that self-correct for gender bias

19:39 How Lilt runs its models in production

26:33 How far can MT go?

29:55 Why Lilt cares about human-computer interaction

35:04 Bilingual grammatical error correction

37:18 Human parity in MT

39:41 The unexpected challenges of prototype to production

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