3.5k citations · 4.2k across the 20 of their papers we have counts for
25 papers
NADI 2026: The Second Multidialectal Arabic Speech Processing Shared Task
Peter Sullivan, Bashar Talafha, Ahmed Ashraf +11
NADI 2026 is the seventh edition of the Nuanced Arabic Dialect Identification (NADI) shared task series and the second dedicated to multidialectal Arabic speech processing. This ed…
CV-18 NER: Augmented Common Voice for Named Entity Recognition from Arabic Speech
Youssef Saidi, Haroun Elleuch, Fethi Bougares
End-to-end speech Named Entity Recognition (NER) aims to directly extract entities from speech. Prior work has shown that end-to-end (E2E) approaches can outperform cascaded pipeli…
SLURP-TN : Resource for Tunisian Dialect Spoken Language Understanding
Haroun Elleuch, Salima Mdhaffar, Yannick Estève +1
Spoken Language Understanding (SLU) aims to extract the semantic information from the speech utterance of user queries. It is a core component in a task-oriented dialogue system. W…
Ara-Best-RQ: Multi Dialectal Arabic SSL
Haroun Elleuch, Ryan Whetten, Salima Mdhaffar +2
We present Ara-BEST-RQ, a family of self-supervised learning (SSL) models specifically designed for multi-dialectal Arabic speech processing. Leveraging 5,640 hours of crawled Crea…
TEDxTN: A Three-way Speech Translation Corpus for Code-Switched Tunisian Arabic - English
Fethi Bougares, Salima Mdhaffar, Haroun Elleuch +1
In this paper, we introduce TEDxTN, the first publicly available Tunisian Arabic to English speech translation dataset. This work is in line with the ongoing effort to mitigate the…
ELYADATA & LIA at NADI 2025: ASR and ADI Subtasks
Haroun Elleuch, Youssef Saidi, Salima Mdhaffar +2
This paper describes Elyadata \& LIA's joint submission to the NADI multi-dialectal Arabic Speech Processing 2025. We participated in the Spoken Arabic Dialect Identification (ADI)…
ADI-20: Arabic Dialect Identification dataset and models
Haroun Elleuch, Salima Mdhaffar, Yannick Estève +1
We present ADI-20, an extension of the previously published ADI-17 Arabic Dialect Identification (ADI) dataset. ADI-20 covers all Arabic-speaking countries' dialects. It comprises…
Performance Analysis of Speech Encoders for Low-Resource SLU and ASR in Tunisian Dialect
Salima Mdhaffar, Haroun Elleuch, Fethi Bougares +1
Speech encoders pretrained through self-supervised learning (SSL) have demonstrated remarkable performance in various downstream tasks, including Spoken Language Understanding (SLU…
End-to-End Speech Translation of Arabic to English Broadcast News
Fethi Bougares, Salim Jouili
Speech translation (ST) is the task of directly translating acoustic speech signals in a source language into text in a foreign language. ST task has been addressed, for a long tim…
ON-TRAC Consortium Systems for the IWSLT 2022 Dialect and Low-resource Speech Translation Tasks
Marcely Zanon Boito, John Ortega, Hugo Riguidel +8
This paper describes the ON-TRAC Consortium translation systems developed for two challenge tracks featured in the Evaluation Campaign of IWSLT 2022: low-resource and dialect speec…
Speech Resources in the Tamasheq Language
Marcely Zanon Boito, Fethi Bougares, Florentin Barbier +4
In this paper we present two datasets for Tamasheq, a developing language mainly spoken in Mali and Niger. These two datasets were made available for the IWSLT 2022 low-resource sp…
ON-TRAC Consortium for End-to-End and Simultaneous Speech Translation Challenge Tasks at IWSLT 2020
Maha Elbayad, Ha Nguyen, Fethi Bougares +5
This paper describes the ON-TRAC Consortium translation systems developed for two challenge tracks featured in the Evaluation Campaign of IWSLT 2020, offline speech translation and…
ON-TRAC Consortium End-to-End Speech Translation Systems for the IWSLT 2019 Shared Task
Ha Nguyen, Natalia Tomashenko, Marcely Zanon Boito +5
This paper describes the ON-TRAC Consortium translation systems developed for the end-to-end model task of IWSLT Evaluation 2019 for the English-to-Portuguese language pair. ON-TRA…
LIUM-CVC Submissions for WMT18 Multimodal Translation Task
Ozan Caglayan, Adrien Bardet, Fethi Bougares +5
This paper describes the multimodal Neural Machine Translation systems developed by LIUM and CVC for WMT18 Shared Task on Multimodal Translation. This year we propose several modif…
Neural Machine Translation by Generating Multiple Linguistic Factors
Mercedes García-Martínez, Loïc Barrault, Fethi Bougares
Factored neural machine translation (FNMT) is founded on the idea of using the morphological and grammatical decomposition of the words (factors) at the output side of the neural n…
Findings of the Second Shared Task on Multimodal Machine Translation and Multilingual Image Description
Desmond Elliott, Stella Frank, Loïc Barrault +2
We present the results from the second shared task on multimodal machine translation and multilingual image description. Nine teams submitted 19 systems to two tasks. The multimoda…
LIUM Machine Translation Systems for WMT17 News Translation Task
Mercedes García-Martínez, Ozan Caglayan, Walid Aransa +3
This paper describes LIUM submissions to WMT17 News Translation Task for English-German, English-Turkish, English-Czech and English-Latvian language pairs. We train BPE-based atten…
LIUM-CVC Submissions for WMT17 Multimodal Translation Task
Ozan Caglayan, Walid Aransa, Adrien Bardet +6
This paper describes the monomodal and multimodal Neural Machine Translation systems developed by LIUM and CVC for WMT17 Shared Task on Multimodal Translation. We mainly explored t…
NMTPY: A Flexible Toolkit for Advanced Neural Machine Translation Systems
Ozan Caglayan, Mercedes García-Martínez, Adrien Bardet +3
In this paper, we present nmtpy, a flexible Python toolkit based on Theano for training Neural Machine Translation and other neural sequence-to-sequence architectures. nmtpy decoup…
Factored Neural Machine Translation
Mercedes García-Martínez, Loïc Barrault, Fethi Bougares
We present a new approach for neural machine translation (NMT) using the morphological and grammatical decomposition of the words (factors) in the output side of the neural network…
Multimodal Attention for Neural Machine Translation
Ozan Caglayan, Loïc Barrault, Fethi Bougares
The attention mechanism is an important part of the neural machine translation (NMT) where it was reported to produce richer source representation compared to fixed-length encoding…
Does Multimodality Help Human and Machine for Translation and Image Captioning?
Ozan Caglayan, Walid Aransa, Yaxing Wang +5
This paper presents the systems developed by LIUM and CVC for the WMT16 Multimodal Machine Translation challenge. We explored various comparative methods, namely phrase-based syste…
On Using Monolingual Corpora in Neural Machine Translation
Caglar Gulcehre, Orhan Firat, Kelvin Xu +6
Recent work on end-to-end neural network-based architectures for machine translation has shown promising results for En-Fr and En-De translation. Arguably, one of the major factors…
Incremental Adaptation Strategies for Neural Network Language Models
Aram Ter-Sarkisov, Holger Schwenk, Loic Barrault +1
It is today acknowledged that neural network language models outperform backoff language models in applications like speech recognition or statistical machine translation. However,…