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Loïc Barrault

Meta AI, The University of Sheffield, Le Mans Université

30 papers hereh-index 3311.2k citations105 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author24
  • last author4

Across the 28 of 30 papers where every author was matched, so the position is known.

fields
  • cs.CL29
  • cs.NE1
affiliations
  • Meta AI, The University of Sheffield, Le Mans Université
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identity via Semantic Scholar / OpenAlex

activity
20142024
most citedOn Using Monolingual Corpora in Neural Machine Translation

515 citations · 1.2k across the 20 of their papers we have counts for

collaborators
Showing 2016Show all

4 papers · 1 filter

cs.CL2016★ 14 cited

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…

cs.CL2016★ 37 cited

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…

cs.CL2016

Very Deep Convolutional Networks for Text Classification

Alexis Conneau, Holger Schwenk, Loïc Barrault +1

The dominant approach for many NLP tasks are recurrent neural networks, in particular LSTMs, and convolutional neural networks. However, these architectures are rather shallow in c…

cs.CL2016★ 74 cited

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…

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