116 citations · 177 across the 37 of their papers we have counts for
13 papers · 2 filters
FlauBERT: Unsupervised Language Model Pre-training for French
Hang Le, Loïc Vial, Jibril Frej +7
Language models have become a key step to achieve state-of-the art results in many different Natural Language Processing (NLP) tasks. Leveraging the huge amount of unlabeled texts…
Character-based NMT with Transformer
Rohit Gupta, Laurent Besacier, Marc Dymetman +1
Character-based translation has several appealing advantages, but its performance is in general worse than a carefully tuned BPE baseline. In this paper we study the impact of char…
The LIG system for the English-Czech Text Translation Task of IWSLT 2019
Loïc Vial, Benjamin Lecouteux, Didier Schwab +2
In this paper, we present our submission for the English to Czech Text Translation Task of IWSLT 2019. Our system aims to study how pre-trained language models, used as input embed…
Naver Labs Europe's Systems for the Document-Level Generation and Translation Task at WNGT 2019
Fahimeh Saleh, Alexandre Bérard, Ioan Calapodescu +1
Recently, neural models led to significant improvements in both machine translation (MT) and natural language generation tasks (NLG). However, generation of long descriptive summar…
ON-TRAC Consortium End-to-End Speech Translation Systems for the IWSLT 2019 Shared Task
Ha Nguyen, Natalia Tomashenko, Marcely Zanon Boito +5
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. ON-TRA…
Controlling Utterance Length in NMT-based Word Segmentation with Attention
Pierre Godard, Laurent Besacier, Francois Yvon
One of the basic tasks of computational language documentation (CLD) is to identify word boundaries in an unsegmented phonemic stream. While several unsupervised monolingual word s…