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SOTA machine translation at Unbabel
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Daniel Whitenack and Chris Benson

· 30 Minutes

PodcastPractical AI

SOTA machine translation at Unbabel

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José and Ricardo joined Daniel at EMNLP 2022 to discuss state-of-the-art machine translation, the WMT shared tasks, and quality estimation. Among other things, they talk about Unbabel’s innovations in quality estimation including COMET, a neural framework for training multilingual machine translation (MT) evaluation models.

Featuring:

  • Ricardo Rei – X
  • José Souza – X
  • Daniel Whitenack – Website, GitHub, X

Show Notes:

  • Unbabel
  • COMET
  • The WMT workshop/ conference
  • EMNLP

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Original source

This story was published by Practical AI and written by Daniel Whitenack and Chris Benson. SyncAI.news shows a preview; the complete article is on the publisher's site.

Read the full story on share.transistor.fm

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