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08/22/2023
SeamlessM4T-Massively Multilingual Multimodal Machine Translation
What does it take to create the Babel Fish, a tool that can help individ...
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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...
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02/11/2023
Metaphor Detection with Effective Context Denoising
We propose a novel RoBERTa-based model, RoPPT, which introduces a target...
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02/09/2023
FrameBERT: Conceptual Metaphor Detection with Frame Embedding Learning
In this paper, we propose FrameBERT, a RoBERTa-based model that can expl...
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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...
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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...
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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...
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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...
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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...
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01/13/2022
Speech Resources in the Tamasheq Language
In this paper we present two datasets for Tamasheq, a developing languag...
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09/08/2021
Active Learning by Acquiring Contrastive Examples
Common acquisition functions for active learning use either uncertainty ...
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04/16/2021
Bayesian Active Learning with Pretrained Language Models
Active Learning (AL) is a method to iteratively select data for annotati...
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09/15/2020
Simultaneous Machine Translation with Visual Context
Simultaneous machine translation (SiMT) aims to translate a continuous i...
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03/20/2019
Probing the Need for Visual Context in Multimodal Machine Translation
Current work on multimodal machine translation (MMT) has suggested that ...
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11/09/2018
Multimodal Grounding for Sequence-to-Sequence Speech Recognition
Humans are capable of processing speech by making use of multiple sensor...
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11/01/2018
How2: A Large-scale Dataset for Multimodal Language Understanding
In this paper, we introduce How2, a multimodal collection of instruction...
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09/01/2018
LIUM-CVC Submissions for WMT18 Multimodal Translation Task
This paper describes the multimodal Neural Machine Translation systems d...
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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 ...
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12/05/2017
Neural Machine Translation by Generating Multiple Linguistic Factors
Factored neural machine translation (FNMT) is founded on the idea of usi...
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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...
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07/14/2017
LIUM Machine Translation Systems for WMT17 News Translation Task
This paper describes LIUM submissions to WMT17 News Translation Task for...
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07/14/2017
LIUM-CVC Submissions for WMT17 Multimodal Translation Task
This paper describes the monomodal and multimodal Neural Machine Transla...
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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...
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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...
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09/15/2016
Factored Neural Machine Translation
We present a new approach for neural machine translation (NMT) using the...
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09/13/2016
Multimodal Attention for Neural Machine Translation
The attention mechanism is an important part of the neural machine trans...
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06/06/2016
Very Deep Convolutional Networks for Text Classification
The dominant approach for many NLP tasks are recurrent neural networks, ...
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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 ...
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03/11/2015
On Using Monolingual Corpora in Neural Machine Translation
Recent work on end-to-end neural network-based architectures for machine...
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12/20/2014