machine translation

Angler: Helping Machine Translation Practitioners Prioritize Model Improvements
Machine learning (ML) models can fail in unexpected ways in the real world, but not all model failures are equal. With finite time and …
Samantha Robertson*, Zijie J. Wang*, Dominik Moritz, Mary Beth Kery, Fred Hohman
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Three Directions for the Design of Human-Centered Machine Translation
As people all over the world adopt machine translation (MT) to communicate across languages, there is increased need for affordances …
Samantha Robertson*, Wesley Hanwen Deng, Timnit Gebru, Margaret Mitchell, Daniel J. Liebling, Michal Lahav, Katherine Heller, Mark Díaz, Samy Bengio, Niloufar Salehi
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