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cs.CL2022★ 373 cited
No Language Left Behind: Scaling Human-Centered Machine Translation
NLLB Team, Marta R. Costa-jussà, James Cross +36
Driven by the goal of eradicating language barriers on a global scale, machine translation has solidified itself as a key focus of artificial intelligence research today. However,…
cs.CL2022
LegoNN: Building Modular Encoder-Decoder Models
Siddharth Dalmia, Dmytro Okhonko, Mike Lewis +5
State-of-the-art encoder-decoder models (e.g. for machine translation (MT) or automatic speech recognition (ASR)) are constructed and trained end-to-end as an atomic unit. No compo…