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09/11/2023
LeBenchmark 2.0: a Standardized, Replicable and Enhanced Framework for Self-supervised Representations of French Speech
Self-supervised learning (SSL) is at the origin of unprecedented improve...
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02/13/2023
Encoding Sentence Position in Context-Aware Neural Machine Translation with Concatenation
Context-aware translation can be achieved by processing a concatenation ...
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10/24/2022
Focused Concatenation for Context-Aware Neural Machine Translation
A straightforward approach to context-aware neural machine translation c...
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07/11/2022
TArC: Tunisian Arabish Corpus First complete release
In this paper we present the final result of a project on Tunisian Arabi...
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07/01/2022
Toward Low-Cost End-to-End Spoken Language Understanding
Recent advances in spoken language understanding benefited from Self-Sup...
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07/01/2022
Vers la compréhension automatique de la parole bout-en-bout à moindre effort
Recent advances in spoken language understanding benefited from Self-Sup...
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04/23/2021
LeBenchmark: A Reproducible Framework for Assessing Self-Supervised Representation Learning from Speech
Self-Supervised Learning (SSL) using huge unlabeled data has been succes...
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03/31/2021
Divide and Rule: Training Context-Aware Multi-Encoder Translation Models with Little Resources
Multi-encoder models are a broad family of context-aware Neural Machine ...
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11/10/2020
Multi-Task Sequence Prediction For Tunisian Arabizi Multi-Level Annotation
In this paper we propose a multi-task sequence prediction system, based ...
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03/20/2020
TArC: Incrementally and Semi-Automatically Collecting a Tunisian Arabish Corpus
This article describes the constitution process of the first morpho-synt...
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02/14/2020
A Data Efficient End-To-End Spoken Language Understanding Architecture
End-to-end architectures have been recently proposed for spoken language...
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09/16/2019
Hybrid Neural Models For Sequence Modelling: The Best Of Three Worlds
We propose a neural architecture with the main characteristics of the mo...
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04/09/2019
Seq2Biseq: Bidirectional Output-wise Recurrent Neural Networks for Sequence Modelling
During the last couple of years, Recurrent Neural Networks (RNN) have re...
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06/20/2017
Effective Spoken Language Labeling with Deep Recurrent Neural Networks
Understanding spoken language is a highly complex problem, which can be ...
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06/06/2017
Label-Dependencies Aware Recurrent Neural Networks
In the last few years, Recurrent Neural Networks (RNNs) have proved effe...
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06/08/2016