activity
20182024
most citedNo Language Left Behind: Scaling Human-Centered Machine Translation

373 citations · 548 across the 15 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

cs.CL2023★ 41 cited

Seamless: Multilingual Expressive and Streaming Speech Translation

Seamless Communication, Loïc Barrault, Yu-An Chung +62

Large-scale automatic speech translation systems today lack key features that help machine-mediated communication feel seamless when compared to human-to-human dialogue. In this wo…

cs.CL2023

Added Toxicity Mitigation at Inference Time for Multimodal and Massively Multilingual Translation

Marta R. Costa-jussà, David Dale, Maha Elbayad +1

Added toxicity in the context of translation refers to the fact of producing a translation output with more toxicity than there exists in the input. In this paper, we present MinTo…

cs.CL2023★ 14 cited

SeamlessM4T: Massively Multilingual & Multimodal Machine Translation

Seamless Communication, Loïc Barrault, Yu-An Chung +65

What does it take to create the Babel Fish, a tool that can help individuals translate speech between any two languages? While recent breakthroughs in text-based models have pushed…

cs.CL2023

Towards Being Parameter-Efficient: A Stratified Sparsely Activated Transformer with Dynamic Capacity

Haoran Xu, Maha Elbayad, Kenton Murray +2

Mixture-of-experts (MoE) models that employ sparse activation have demonstrated effectiveness in significantly increasing the number of parameters while maintaining low computation…

cs.CL2023

Efficiently Upgrading Multilingual Machine Translation Models to Support More Languages

Simeng Sun, Maha Elbayad, Anna Sun +1

With multilingual machine translation (MMT) models continuing to grow in size and number of supported languages, it is natural to reuse and upgrade existing models to save computat…