Loïc Barrault

research

∙ 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. ∙

research

∙ 05/19/2023

HalOmi: A Manually Annotated Benchmark for Multilingual Hallucination and Omission Detection in Machine Translation

Hallucinations in machine translation are translations that contain info...

0 David Dale, et al. ∙

research

∙ 02/11/2023

Metaphor Detection with Effective Context Denoising

We propose a novel RoBERTa-based model, RoPPT, which introduces a target...

0 Shun Wang, et al. ∙

research

∙ 02/09/2023

FrameBERT: Conceptual Metaphor Detection with Frame Embedding Learning

In this paper, we propose FrameBERT, a RoBERTa-based model that can expl...

0 Yucheng Li, et al. ∙

research

∙ 12/16/2022

Detecting and Mitigating Hallucinations in Machine Translation: Model Internal Workings Alone Do Well, Sentence Similarity Even Better

While the problem of hallucinations in neural machine translation has lo...

0 David Dale, et al. ∙

research

∙ 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. ∙

research

∙ 05/12/2022

Controlling Formality in Low-Resource NMT with Domain Adaptation and Re-Ranking: SLT-CDT-UoS at IWSLT2022

This paper describes the SLT-CDT-UoS group's submission to the first Spe...

0 Sebastian T. Vincent, et al. ∙

research

∙ 05/10/2022

Controlling Extra-Textual Attributes about Dialogue Participants: A Case Study of English-to-Polish Neural Machine Translation

Unlike English, morphologically rich languages can reveal characteristic...

0 Sebastian T. Vincent, et al. ∙

research

∙ 05/04/2022

ON-TRAC Consortium Systems for the IWSLT 2022 Dialect and Low-resource Speech Translation Tasks

This paper describes the ON-TRAC Consortium translation systems develope...

2 Marcely Zanon Boito, et al. ∙

research

∙ 01/13/2022

Speech Resources in the Tamasheq Language

In this paper we present two datasets for Tamasheq, a developing languag...

9 Marcely Zanon Boito, et al. ∙

research

∙ 09/08/2021

Active Learning by Acquiring Contrastive Examples

Common acquisition functions for active learning use either uncertainty ...

14 Katerina Margatina, et al. ∙

research

∙ 04/16/2021

Bayesian Active Learning with Pretrained Language Models

Active Learning (AL) is a method to iteratively select data for annotati...

30 Katerina Margatina, et al. ∙

research

∙ 09/15/2020

Simultaneous Machine Translation with Visual Context

Simultaneous machine translation (SiMT) aims to translate a continuous i...

0 Ozan Caglayan, et al. ∙

research

∙ 03/20/2019

Probing the Need for Visual Context in Multimodal Machine Translation

Current work on multimodal machine translation (MMT) has suggested that ...

0 Ozan Caglayan, et al. ∙

research

∙ 11/09/2018

Multimodal Grounding for Sequence-to-Sequence Speech Recognition

Humans are capable of processing speech by making use of multiple sensor...

0 Ozan Caglayan, et al. ∙

research

∙ 11/01/2018

How2: A Large-scale Dataset for Multimodal Language Understanding

In this paper, we introduce How2, a multimodal collection of instruction...

0 Ramon Sanabria, et al. ∙

research

∙ 09/01/2018

LIUM-CVC Submissions for WMT18 Multimodal Translation Task

This paper describes the multimodal Neural Machine Translation systems d...

0 Ozan Caglayan, et al. ∙

research

∙ 05/03/2018

What you can cram into a single vector: Probing sentence embeddings for linguistic properties

Although much effort has recently been devoted to training high-quality ...

0 Alexis Conneau, et al. ∙

research

∙ 12/05/2017

Neural Machine Translation by Generating Multiple Linguistic Factors

Factored neural machine translation (FNMT) is founded on the idea of usi...

0 Mercedes García-Martínez, et al. ∙

research

∙ 10/19/2017

Findings of the Second Shared Task on Multimodal Machine Translation and Multilingual Image Description

We present the results from the second shared task on multimodal machine...

0 Desmond Elliott, et al. ∙

research

∙ 07/14/2017

LIUM Machine Translation Systems for WMT17 News Translation Task

This paper describes LIUM submissions to WMT17 News Translation Task for...

0 Mercedes García-Martínez, et al. ∙

research

∙ 07/14/2017

LIUM-CVC Submissions for WMT17 Multimodal Translation Task

This paper describes the monomodal and multimodal Neural Machine Transla...

0 Ozan Caglayan, et al. ∙

research

∙ 06/01/2017

NMTPY: A Flexible Toolkit for Advanced Neural Machine Translation Systems

In this paper, we present nmtpy, a flexible Python toolkit based on Thea...

0 Ozan Caglayan, et al. ∙

research

∙ 05/05/2017

Supervised Learning of Universal Sentence Representations from Natural Language Inference Data

Many modern NLP systems rely on word embeddings, previously trained in a...

0 Alexis Conneau, et al. ∙

research

∙ 09/15/2016

Factored Neural Machine Translation

We present a new approach for neural machine translation (NMT) using the...

0 Mercedes García-Martínez, et al. ∙

research

∙ 09/13/2016

Multimodal Attention for Neural Machine Translation

The attention mechanism is an important part of the neural machine trans...

0 Ozan Caglayan, et al. ∙

research

∙ 06/06/2016

Very Deep Convolutional Networks for Text Classification

The dominant approach for many NLP tasks are recurrent neural networks, ...

0 Alexis Conneau, et al. ∙

research

∙ 05/30/2016

Does Multimodality Help Human and Machine for Translation and Image Captioning?

This paper presents the systems developed by LIUM and CVC for the WMT16 ...

0 Ozan Caglayan, et al. ∙

research

∙ 03/11/2015

On Using Monolingual Corpora in Neural Machine Translation

Recent work on end-to-end neural network-based architectures for machine...

0 Caglar Gulcehre, et al. ∙

research

∙ 12/20/2014

Incremental Adaptation Strategies for Neural Network Language Models

It is today acknowledged that neural network language models outperform ...

1 Aram Ter-Sarkisov, et al. ∙

Loïc Barrault

Featured Co-authors