Variability of automatic speech recognition systems using different features. - Loïc Barrault; Renato de Mori; Roberto Gemello; Franco Mana; Driss Matrouf (INTERSPEECH, 2005)

Dynamic selection of acoustic features in an Automatic Speech Recognition system. - Loïc Barrault; Driss Matrouf; Renato De Mori; Roberto Gemello; Franco Mana (EUSIPCO, 2006)

Characterizing Feature Variability in Automatic Speech Recognition Systems. - Loïc Barrault; Driss Matrouf; Renato De Mori; Roberto Gemello; Franco Mana (ICASSP (5), 2006)

Frame-based acoustic feature integration for speech understanding. - Loïc Barrault; Christophe Servan; Driss Matrouf; Georges Linarès; Renato de Mori (ICASSP, 2008)

Diagnostic pour la combinaison de systèmes de reconnaissance automatique de la parole. (Diagnosis for the combination of automatic speech recognition systems). - Loïc Barrault (2008)

LIUM's statistical machine translation systems for IWSLT 2009. - Holger Schwenk; Loïc Barrault; Yannick Estève; Patrik Lambert (IWSLT, 2009)

LIUM's statistical machine translation system for IWSLT 2009. - Holger Schwenk; Loïc Barrault; Yannick Estève; Patrik Lambert (IWSLT (Evaluation Campaign), 2009)

SMT and SPE Machine Translation Systems for WMT'09. - Holger Schwenk; Sadaf Abdul-Rauf; Loïc Barrault; Jean Senellart (WMT@EACL, 2009)

LIUM's statistical machine translation system for IWSLT 2010. - Anthony Rousseau; Loïc Barrault; Paul Deléglise; Yannick Estève (IWSLT, 2010)

MANY: Open Source MT System Combination at WMT'10. - Loïc Barrault (WMT@ACL, 2010)

Translation Model Adaptation by Resampling. - Kashif Shah; Loïc Barrault; Holger Schwenk (WMT@ACL, 2010)

MANYOpen Source Machine Translation System Combination. - Loïc Barrault (Prague Bull. Math. Linguistics, 2010)

Parametric Weighting of Parallel Data for Statistical Machine Translation. - Kashif Shah; Loïc Barrault; Holger Schwenk (IJCNLP, 2011)

MANY improvements for WMT'11. - Loïc Barrault (WMT@EMNLP, 2011)

LIUM's SMT Machine Translation Systems for WMT 2011. - Holger Schwenk; Patrik Lambert; Loïc Barrault; Christophe Servan; Sadaf Abdul-Rauf; Haithem Afli; Kashif Shah (WMT@EMNLP, 2011)

Semi-supervised transliteration mining from parallel and comparable corpora. - Walid Aransa; Holger Schwenk; Loïc Barrault (IWSLT, 2012)

Parallel Texts Extraction from Multimodal Comparable Corpora. - Haithem Afli; Loïc Barrault; Holger Schwenk (JapTAL, 2012)

Traduction automatique à partir de corpus comparables: extraction de phrases parallèles à partir de données comparables multimodales (Automatic Translation from Comparable corpora : extracting parallel sentences from mul- timodal comparable corpora) [in French]. - Haithem Afli; Loïc Barrault; Holger Schwenk (JEP-TALN-RECITAL, 2012)

LIUM's SMT Machine Translation Systems for WMT 2012. - Christophe Servan; Patrik Lambert; Anthony Rousseau; Holger Schwenk; Loïc Barrault (WMT@NAACL-HLT, 2012)

Multimodal Comparable Corpora as Resources for Extracting Parallel Data: Parallel Phrases Extraction. - Haithem Afli; Loïc Barrault; Holger Schwenk (IJCNLP, 2013)

Issues in incremental adaptation of statistical MT from human post-edits. - Mauro Cettolo; Christophe Servan; Nicola Bertoldi; Marcello Federico; Loïc Barrault; Holger Schwenk (WPTP@MTSummit, 2013)

The Matecat Tool. - Marcello Federico; Nicola Bertoldi; Mauro Cettolo; Matteo Negri; Marco Turchi; Marco Trombetti; Alessandro Cattelan; Antonio Farina; Domenico Lupinetti; Andrea Martines; Alberto Massidda; Holger Schwenk; et al. (COLING (Demos), 2014)

Using Hypothesis Selection Based Features for Confusion Network MT System Combination. - Sahar Ghannay; Loïc Barrault (HyTra@EACL, 2014)

LIUM English-to-French spoken language translation system and the Vecsys/LIUM automatic speech recognition system for Italian language for IWSLT 2014. - Anthony Rousseau; Loïc Barrault; Paul Deléglise; Yannick Estève; Holger Schwenk; Samir Bennacef; Armando Muscariello; Stephan Vanni (IWSLT (Evaluation Campaign), 2014)

Translation project adaptation for MT-enhanced computer assisted translation. - Mauro Cettolo; Nicola Bertoldi; Marcello Federico; Holger Schwenk; Loïc Barrault; Christophe Servan (Mach. Transl., 2014)

Incremental Adaptation Strategies for Neural Network Language Models. - Alex Ter-Sarkisov; Holger Schwenk; Fethi Bougares; Loïc Barrault (CVSC, 2015)

Improving continuous space language models auxiliary features. - Walid Aransa; Holger Schwenk; Loïc Barrault (IWSLT, 2015)

The LIUM ASR and SLT systems for IWSLT 2015. - Mercedes García-Martínez; Loïc Barrault; Anthony Rousseau; Paul Deléglise; Yannick Estève (IWSLT (Evaluation Campaign), 2015)

Continuous Adaptation to User Feedback for Statistical Machine Translation. - Frédéric Blain; Fethi Bougares; Amir Hazem; Loïc Barrault; Holger Schwenk (HLT-NAACL, 2015)

On Using Monolingual Corpora in Neural Machine Translation. - Çaglar Gülçehre; Orhan Firat; Kelvin Xu; Kyunghyun Cho; Loïc Barrault; Huei-Chi Lin; Fethi Bougares; Holger Schwenk; Yoshua Bengio (CoRR, 2015)

Factored Neural Machine Translation Architectures. - Mercedes García-Martínez; Loïc Barrault; Fethi Bougares (IWSLT, 2016)

Does Multimodality Help Human and Machine for Translation and Image Captioning? - Ozan Caglayan; Walid Aransa; Yaxing Wang; Marc Masana; Mercedes García-Martínez; Fethi Bougares; Loïc Barrault; Joost van de Weijer 001 (WMT, 2016)

SHEF-LIUM-NN: Sentence level Quality Estimation with Neural Network Features. - Kashif Shah; Fethi Bougares; Loïc Barrault; Lucia Specia (WMT, 2016)

Multimodal Attention for Neural Machine Translation. - Ozan Caglayan; Loïc Barrault; Fethi Bougares (CoRR, 2016)

Very Deep Convolutional Networks for Natural Language Processing. - Alexis Conneau; Holger Schwenk; Loïc Barrault; Yann LeCun (CoRR, 2016)

Factored Neural Machine Translation. - Mercedes García-Martínez; Loïc Barrault; Fethi Bougares (CoRR, 2016)

OCR Error Correction Using Statistical Machine Translation. - Haithem Afli; Loïc Barrault; Holger Schwenk (Int. J. Comput. Linguistics Appl., 2016)

Building and using multimodal comparable corpora for machine translation. - Haithem Afli; Loïc Barrault; Holger Schwenk (Nat. Lang. Eng., 2016)

Very Deep Convolutional Networks for Text Classification. - Alexis Conneau; Holger Schwenk; Loïc Barrault; Yann LeCun (EACL (1), 2017)

Supervised Learning of Universal Sentence Representations from Natural Language Inference Data. - Alexis Conneau; Douwe Kiela; Holger Schwenk; Loïc Barrault; Antoine Bordes (EMNLP, 2017)

Neural Machine Translation by Generating Multiple Linguistic Factors. - Mercedes García-Martínez; Loïc Barrault; Fethi Bougares (SLSP, 2017)

Word Representations in Factored Neural Machine Translation. - Franck Burlot; Mercedes García-Martínez; Loïc Barrault; Fethi Bougares; François Yvon (WMT, 2017)

LIUM-CVC Submissions for WMT17 Multimodal Translation Task. - Ozan Caglayan; Walid Aransa; Adrien Bardet; Mercedes García-Martínez; Fethi Bougares; Loïc Barrault; Marc Masana; Luis Herranz; Joost van de Weijer 001 (WMT, 2017)

Findings of the Second Shared Task on Multimodal Machine Translation and Multilingual Image Description. - Desmond Elliott; Stella Frank; Loïc Barrault; Fethi Bougares; Lucia Specia (WMT, 2017)

LIUM Machine Translation Systems for WMT17 News Translation Task. - Mercedes García-Martínez; Ozan Caglayan; Walid Aransa; Adrien Bardet; Fethi Bougares; Loïc Barrault (WMT, 2017)

Introduction to the special issue on deep learning approaches for machine translation. - Marta R. Costa-jussà; Alexandre Allauzen; Loïc Barrault; Kyunghyun Cho; Holger Schwenk (Comput. Speech Lang., 2017)

NMTPY: A Flexible Toolkit for Advanced Neural Machine Translation Systems. - Ozan Caglayan; Mercedes García-Martínez; Adrien Bardet; Walid Aransa; Fethi Bougares; Loïc Barrault (Prague Bull. Math. Linguistics, 2017)

What you can cram into a single $&!#* vector: Probing sentence embeddings for linguistic properties. - Alexis Conneau; Germán Kruszewski; Guillaume Lample; Loïc Barrault; Marco Baroni (ACL (1), 2018)

Findings of the Third Shared Task on Multimodal Machine Translation. - Loïc Barrault; Fethi Bougares; Lucia Specia; Chiraag Lala; Desmond Elliott; Stella Frank (WMT (shared task), 2018)

LIUM-CVC Submissions for WMT18 Multimodal Translation Task. - Ozan Caglayan; Adrien Bardet; Fethi Bougares; Loïc Barrault; Kai Wang 060; Marc Masana; Luis Herranz; Joost van de Weijer 001 (WMT (shared task), 2018)

How2: A Large-scale Dataset for Multimodal Language Understanding. - Ramon Sanabria; Ozan Caglayan; Shruti Palaskar; Desmond Elliott; Loïc Barrault; Lucia Specia; Florian Metze (CoRR, 2018)

Automatische Übersetzung als Bestandteil eines philologischen B.A.-Curriculums mit DH-Schwerpunk. - Anne Baillot; Jane Wottawa; Loïc Barrault; Fethi Bougares (DHd, 2019)

Multimodal Grounding for Sequence-to-sequence Speech Recognition. - Ozan Caglayan; Ramon Sanabria; Shruti Palaskar; Loïc Barrault; Florian Metze (ICASSP, 2019)

The IWSLT 2019 Evaluation Campaign. - Jan Niehues; Roldano Cattoni; Sebastian Stüker; Matteo Negri; Marco Turchi; Thanh-Le Ha; Elizabeth Salesky; Ramon Sanabria; Loïc Barrault; Lucia Specia; Marcello Federico (IWSLT, 2019)

Probing the Need for Visual Context in Multimodal Machine Translation. - Ozan Caglayan; Pranava Madhyastha; Lucia Specia; Loïc Barrault (NAACL-HLT (1), 2019)

A Study on Multilingual Transfer Learning in Neural Machine Translation: Finding the Balance Between Languages. - Adrien Bardet; Fethi Bougares; Loïc Barrault (SLSP, 2019)

Étude de l'apprentissage par transfert de systèmes de traduction automatique neuronaux (Study on transfer learning in neural machine translation ). - Adrien Bardet; Fethi Bougares; Loïc Barrault (PFIA (Articles courts), 2019)

Findings of the 2019 Conference on Machine Translation (WMT19). - Loïc Barrault; Ondrej Bojar; Marta R. Costa-jussà; Christian Federmann; Mark Fishel; Yvette Graham; Barry Haddow; Matthias Huck; Philipp Koehn; Shervin Malmasi; Christof Monz; Mathias Müller 002; et al. (WMT (2), 2019)

LIUM's Contributions to the WMT2019 News Translation Task: Data and Systems for German-French Language Pairs. - Fethi Bougares; Jane Wottawa; Anne Baillot; Loïc Barrault; Adrien Bardet (WMT (2), 2019)

A General Framework to Weight Heterogeneous Parallel Data for Model Adaptation in Statistical MT. - Kashif Shah; Loïc Barrault; Holger Schwenk (AMTA, 2020)

Simultaneous Machine Translation with Visual Context. - Ozan Caglayan; Julia Ive; Veneta Haralampieva; Pranava Madhyastha; Loïc Barrault; Lucia Specia (EMNLP (1), 2020)

Evaluation of Lifelong Learning Systems. - Yevhenii Prokopalo; Sylvain Meignier; Olivier Galibert; Loïc Barrault; Anthony Larcher (LREC, 2020)

Traduction automatique pour la normalisation du français du XVIIe siècle (). - Simon Gabay; Loïc Barrault (JEP-TALN-RECITAL (2), 2020)

Évaluation de systèmes apprenant tout au long de la vie (Evaluation of lifelong learning systems ). - Yevhenii Prokopalo; Sylvain Meignier; Olivier Galibert; Loïc Barrault; Anthony Larcher (JEP-TALN-RECITAL (1), 2020)

Findings of the 2020 Conference on Machine Translation (WMT20). - Loïc Barrault; Magdalena Biesialska; Ondrej Bojar; Marta R. Costa-jussà; Christian Federmann; Yvette Graham; Roman Grundkiewicz; Barry Haddow; Matthias Huck; Eric Joanis; Tom Kocmi; Philipp Koehn; et al. (WMT@EMNLP, 2020)

Findings of the First Shared Task on Lifelong Learning Machine Translation. - Loïc Barrault; Magdalena Biesialska; Marta R. Costa-jussà; Fethi Bougares; Olivier Galibert (WMT@EMNLP, 2020)

Grounded Sequence to Sequence Transduction. - Lucia Specia; Loïc Barrault; Ozan Caglayan; Amanda Cardoso Duarte; Desmond Elliott; Spandana Gella; Nils Holzenberger; Chiraag Lala; Sun Jae Lee; Jindrich Libovický; Pranava Madhyastha; Florian Metze; et al. (IEEE J. Sel. Top. Signal Process., 2020)

Addressing data sparsity for neural machine translation between morphologically rich languages. - Mercedes García-Martínez; Walid Aransa; Fethi Bougares; Loïc Barrault (Mach. Transl., 2020)

In Factuality: Efficient Integration of Relevant Facts for Visual Question Answering. - Peter Vickers; Nikolaos Aletras; Emilio Monti; Loïc Barrault (ACL/IJCNLP (2), 2021)

Active Learning by Acquiring Contrastive Examples. - Katerina Margatina; Giorgos Vernikos; Loïc Barrault; Nikolaos Aletras (EMNLP (1), 2021)

Active correction for speaker diarization with human in the loop. - Yevhenii Prokopalo; Meysam Shamsi; Loïc Barrault; Sylvain Meignier; Anthony Larcher (IberSPEECH, 2021)

Bayesian Active Learning with Pretrained Language Models. - Katerina Margatina; Loïc Barrault; Nikolaos Aletras (CoRR, 2021)

On the Importance of Effectively Adapting Pretrained Language Models for Active Learning. - Katerina Margatina; Loïc Barrault; Nikolaos Aletras (ACL (2), 2022)

Controlling Extra-Textual Attributes about Dialogue Participants: A Case Study of English-to-Polish Neural Machine Translation. - Sebastian T. Vincent; Loïc Barrault; Carolina Scarton (EAMT, 2022)

Findings of the IWSLT 2022 Evaluation Campaign. - Antonios Anastasopoulos; Loïc Barrault; Luisa Bentivogli; Marcely Zanon Boito; Ondrej Bojar; Roldano Cattoni; Anna Currey; Georgiana Dinu; Kevin Duh; Maha Elbayad; Clara Emmanuel; Yannick Estève; et al. (IWSLT@ACL, 2022)

ON-TRAC Consortium Systems for the IWSLT 2022 Dialect and Low-resource Speech Translation Tasks. - Marcely Zanon Boito; John Ortega 001; Hugo Riguidel; Antoine Laurent; Loïc Barrault; Fethi Bougares; Firas Chaabani; Ha Nguyen; Florentin Barbier; Souhir Gahbiche; Yannick Estève (IWSLT@ACL, 2022)

Controlling Formality in Low-Resource NMT with Domain Adaptation and Re-Ranking: SLT-CDT-UoS at IWSLT2022. - Sebastian T. Vincent; Loïc Barrault; Carolina Scarton (IWSLT@ACL, 2022)

Speech Resources in the Tamasheq Language. - Marcely Zanon Boito; Fethi Bougares; Florentin Barbier; Souhir Gahbiche; Loïc Barrault; Mickael Rouvier; Yannick Estève (LREC, 2022)

No Language Left Behind: Scaling Human-Centered Machine Translation. - Marta R. Costa-jussà; James Cross 003; Onur Çelebi; Maha Elbayad; Kenneth Heafield; Kevin Heffernan; Elahe Kalbassi; Janice Lam; Daniel Licht; Jean Maillard; Anna Y. Sun; Skyler Wang; et al. (CoRR, 2022)

Detecting and Mitigating Hallucinations in Machine Translation: Model Internal Workings Alone Do Well, Sentence Similarity Even Better. - David Dale; Elena Voita; Loïc Barrault; Marta R. Costa-jussà (ACL (1), 2023)

FrameBERT: Conceptual Metaphor Detection with Frame Embedding Learning. - Yucheng Li 001; Shun Wang; Chenghua Lin; Frank Guerin; Loïc Barrault (EACL, 2023)

Metaphor Detection with Effective Context Denoising. - Shun Wang; Yucheng Li 001; Chenghua Lin; Loïc Barrault; Frank Guerin (EACL, 2023)

HalOmi: A Manually Annotated Benchmark for Multilingual Hallucination and Omission Detection in Machine Translation. - David Dale; Elena Voita; Janice Lam; Prangthip Hansanti; Christophe Ropers; Elahe Kalbassi; Cynthia Gao; Loïc Barrault; Marta R. Costa-jussà (EMNLP, 2023)

We Need to Talk About Classification Evaluation Metrics in NLP. - Peter Vickers; Loïc Barrault; Emilio Monti; Nikolaos Aletras (IJCNLP (1), 2023)

SeamlessM4T-Massively Multilingual & Multimodal Machine Translation. - Seamless Communication; Loïc Barrault; Yu-An Chung; Mariano Coria Meglioli; David Dale; Ning Dong; Paul-Ambroise Duquenne; Hady Elsahar; Hongyu Gong; Kevin Heffernan; John Hoffman; Christopher Klaiber; et al. (CoRR, 2023)

Seamless: Multilingual Expressive and Streaming Speech Translation. - Loïc Barrault; Yu-An Chung; Mariano Coria Meglioli; David Dale; Ning Dong; Mark Duppenthaler; Paul-Ambroise Duquenne; Brian Ellis; Hady Elsahar; Justin Haaheim; John Hoffman; Min-Jae Hwang; et al. (CoRR, 2023)

Towards lifelong human assisted speaker diarization. - Meysam Shamsi; Anthony Larcher; Loïc Barrault; Sylvain Meignier; Yevhenii Prokopalo; Marie Tahon; Ambuj Mehrish; Simon Petitrenaud; Olivier Galibert; Samuel Gaist; André Anjos; Sébastien Marcel; et al. (Comput. Speech Lang., 2023)

Aligning Speech Segments Beyond Pure Semantics. - Kevin Heffernan; Artyom Kozhevnikov; Loïc Barrault; Alexandre Mourachko; Holger Schwenk (ACL (Findings), 2024)

Large Concept Models: Language Modeling in a Sentence Representation Space. - LCM team; Loïc Barrault; Paul-Ambroise Duquenne; Maha Elbayad; Artyom Kozhevnikov; Belen Alastruey; Pierre Andrews; Mariano Coria; Guillaume Couairon; Marta R. Costa-jussà; David Dale; Hady Elsahar; et al. (CoRR, 2024)

MEXMA: Token-level objectives improve sentence representations. - João Maria Janeiro; Benjamin Piwowarski; Patrick Gallinari; Loïc Barrault (ACL (1), 2025)

Interference Matrix: Quantifying Cross-Lingual Interference in Transformer Encoders. - Belen Alastruey; João Maria Janeiro; Alexandre Allauzen; Maha Elbayad; Loïc Barrault; Marta R. Costa-jussà (CoRR, 2025)