Search Results for author: Fethi Bougares

Found 33 papers, 9 papers with code

End-to-End Speech Translation of Arabic to English Broadcast News

no code implementations11 Dec 2022 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.

Automatic Speech Recognition Data Augmentation +4

ON-TRAC Consortium for End-to-End and Simultaneous Speech Translation Challenge Tasks at IWSLT 2020

no code implementations WS 2020 Maha Elbayad, Ha Nguyen, Fethi Bougares, Natalia Tomashenko, Antoine Caubrière, Benjamin Lecouteux, Yannick Estève, Laurent Besacier

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 simultaneous speech translation.

Data Augmentation Translation

ON-TRAC Consortium End-to-End Speech Translation Systems for the IWSLT 2019 Shared Task

no code implementations EMNLP (IWSLT) 2019 Ha Nguyen, Natalia Tomashenko, Marcely Zanon Boito, Antoine Caubriere, Fethi Bougares, Mickael Rouvier, Laurent Besacier, Yannick Esteve

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.

Translation

LIUM-MIRACL Participation in the MADAR Arabic Dialect Identification Shared Task

no code implementations WS 2019 Sam{\'e}h Kchaou, Fethi Bougares, Lamia Hadrich-Belguith

This paper describes the joint participation of the LIUM and MIRACL Laboratories at the Arabic dialect identification challenge of the MADAR Shared Task (Bouamor et al., 2019) conducted during the Fourth Arabic Natural Language Processing Workshop (WANLP 2019).

Dialect Identification

LIUM's Contributions to the WMT2019 News Translation Task: Data and Systems for German-French Language Pairs

no code implementations WS 2019 Fethi Bougares, Jane Wottawa, Anne Baillot, Lo{\"\i}c Barrault, Adrien Bardet

This paper describes the neural machine translation (NMT) systems of the LIUM Laboratory developed for the French↔German news translation task of the Fourth Conference onMachine Translation (WMT 2019).

Machine Translation NMT +1

Findings of the Third Shared Task on Multimodal Machine Translation

1 code implementation WS 2018 Lo{\"\i}c Barrault, Fethi Bougares, Lucia Specia, Chiraag Lala, Desmond Elliott, Stella Frank

In this task a source sentence in English is supplemented by an image and participating systems are required to generate a translation for such a sentence into German, French or Czech.

Multimodal Machine Translation Translation

LIUM-CVC Submissions for WMT18 Multimodal Translation Task

no code implementations WS 2018 Ozan Caglayan, Adrien Bardet, Fethi Bougares, Loïc Barrault, Kai Wang, Marc Masana, Luis Herranz, Joost Van de Weijer

This paper describes the multimodal Neural Machine Translation systems developed by LIUM and CVC for WMT18 Shared Task on Multimodal Translation.

Machine Translation Translation

Neural Machine Translation by Generating Multiple Linguistic Factors

no code implementations5 Dec 2017 Mercedes García-Martínez, Loïc Barrault, Fethi Bougares

FNMT system is designed to manage larger vocabulary and reduce the training time (for systems with equivalent target language vocabulary size).

Machine Translation NMT +1

LIUM-CVC Submissions for WMT17 Multimodal Translation Task

no code implementations WS 2017 Ozan Caglayan, Walid Aransa, Adrien Bardet, Mercedes García-Martínez, Fethi Bougares, Loïc Barrault, Marc Masana, Luis Herranz, Joost Van de Weijer

This paper describes the monomodal and multimodal Neural Machine Translation systems developed by LIUM and CVC for WMT17 Shared Task on Multimodal Translation.

Machine Translation Translation

LIUM Machine Translation Systems for WMT17 News Translation Task

1 code implementation WS 2017 Mercedes García-Martínez, Ozan Caglayan, Walid Aransa, Adrien Bardet, Fethi Bougares, Loïc Barrault

This paper describes LIUM submissions to WMT17 News Translation Task for English-German, English-Turkish, English-Czech and English-Latvian language pairs.

Machine Translation Translation

NMTPY: A Flexible Toolkit for Advanced Neural Machine Translation Systems

1 code implementation1 Jun 2017 Ozan Caglayan, Mercedes García-Martínez, Adrien Bardet, Walid Aransa, Fethi Bougares, Loïc Barrault

nmtpy has been used for LIUM's top-ranked submissions to WMT Multimodal Machine Translation and News Translation tasks in 2016 and 2017.

Multimodal Machine Translation Translation

Sentiment Analysis of Tunisian Dialects: Linguistic Ressources and Experiments

1 code implementation WS 2017 Salima Medhaffar, Fethi Bougares, Yannick Est{\`e}ve, Lamia Hadrich-Belguith

There are many existing researches in the field of Arabic language Sentiment Analysis (SA); however, they are generally restricted to Modern Standard Arabic (MSA) or some dialects of economic or political interest.

Sentiment Analysis

Multimodal Attention for Neural Machine Translation

1 code implementation13 Sep 2016 Ozan Caglayan, Loïc Barrault, Fethi Bougares

We show that a dedicated attention for each modality achieves up to 1. 6 points in BLEU and METEOR compared to a textual NMT baseline.

Image Captioning Machine Translation +2

On Using Monolingual Corpora in Neural Machine Translation

no code implementations11 Mar 2015 Caglar Gulcehre, Orhan Firat, Kelvin Xu, Kyunghyun Cho, Loic Barrault, Huei-Chi Lin, Fethi Bougares, Holger Schwenk, Yoshua Bengio

Recent work on end-to-end neural network-based architectures for machine translation has shown promising results for En-Fr and En-De translation.

Machine Translation Translation

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