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08/22/2023
SeamlessM4T-Massively Multilingual Multimodal Machine Translation
What does it take to create the Babel Fish, a tool that can help individ...
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05/03/2023
Towards Being Parameter-Efficient: A Stratified Sparsely Activated Transformer with Dynamic Capacity
Mixture-of-experts (MoE) models that employ sparse activation have demon...
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02/07/2023
Efficiently Upgrading Multilingual Machine Translation Models to Support More Languages
With multilingual machine translation (MMT) models continuing to grow in...
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12/15/2022
Fixing MoE Over-Fitting on Low-Resource Languages in Multilingual Machine Translation
Sparsely gated Mixture of Experts (MoE) models have been shown to be a c...
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12/14/2022
Causes and Cures for Interference in Multilingual Translation
Multilingual machine translation models can benefit from synergy between...
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07/11/2022
No Language Left Behind: Scaling Human-Centered Machine Translation
Driven by the goal of eradicating language barriers on a global scale, m...
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06/01/2020
Online Versus Offline NMT Quality: An In-depth Analysis on English-German and German-English
We conduct in this work an evaluation study comparing offline and online...
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05/24/2020
ON-TRAC Consortium for End-to-End and Simultaneous Speech Translation Challenge Tasks at IWSLT 2020
This paper describes the ON-TRAC Consortium translation systems develope...
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05/18/2020
Efficient Wait-k Models for Simultaneous Machine Translation
Simultaneous machine translation consists in starting output generation ...
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10/22/2019
Depth-Adaptive Transformer
State of the art sequence-to-sequence models perform a fixed number of c...
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08/11/2018
Pervasive Attention: 2D Convolutional Neural Networks for Sequence-to-Sequence Prediction
Current state-of-the-art machine translation systems are based on encode...
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05/14/2018
