Maha Elbayad | DeepAI

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Michael Auli
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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...

0 Seamless Communication, et al. ∙

∙ 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...

0 Haoran Xu, et al. ∙

∙ 02/07/2023

Efficiently Upgrading Multilingual Machine Translation Models to Support More Languages

With multilingual machine translation (MMT) models continuing to grow in...

0 Simeng Sun, et al. ∙

∙ 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...

0 Maha Elbayad, et al. ∙

∙ 12/14/2022

Causes and Cures for Interference in Multilingual Translation

Multilingual machine translation models can benefit from synergy between...

0 Uri Shaham, et al. ∙

∙ 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...

9 NLLB team, et al. ∙

∙ 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...

0 Maha Elbayad, et al. ∙

∙ 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...

0 Maha Elbayad, et al. ∙

∙ 05/18/2020

Efficient Wait-k Models for Simultaneous Machine Translation

Simultaneous machine translation consists in starting output generation ...

0 Maha Elbayad, et al. ∙

∙ 10/22/2019

Depth-Adaptive Transformer

State of the art sequence-to-sequence models perform a fixed number of c...

0 Maha Elbayad, et al. ∙

∙ 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...

0 Maha Elbayad, et al. ∙

∙ 05/14/2018

Token-level and sequence-level loss smoothing for RNN language models

Despite the effectiveness of recurrent neural network language models, t...

0 Maha Elbayad, et al. ∙

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