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SOTA machine translation at Unbabel

Podcast |: Practical AI: Machine Learning, Data Science
Publisher |: Changelog Media
Media Type |: audio
Podknife tags |: Artificial Intelligence,; Business,; Data Science,; Interview,; Machine Learning,; Tech News,; Technology
Categories Via RSS |: Software How-To,; Tech News,; Technology
Publication Date |: Dec 13, 2022
Episode Duration |: 00:30:28

Description
Content Encoded

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.

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Featuring:

Ricardo Rei – Twitter
José Souza – Twitter
Daniel Whitenack – Twitter, GitHub, Website

Show Notes:

Something missing or broken? ai-204.md">PRs welcome!

Timestamps:

(00:00) - Opener(00:57) - Welcome to Practical AI(01:40) - Unbabel(06:24) - So much more than a confidence score(10:41) - Quality estimation(14:37) - When words don't align(21:52) - KNNMT(24:32) - This gets us excited(28:02) - Find out more(29:41) - Outro

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