22 citations · 56 across the 25 of their papers we have counts for
53 papers
Focused Concatenation for Context-Aware Neural Machine Translation
Lorenzo Lupo, Marco Dinarelli, Laurent Besacier
A straightforward approach to context-aware neural machine translation consists in feeding the standard encoder-decoder architecture with a window of consecutive sentences, formed…
Multilingual Unsupervised Neural Machine Translation with Denoising Adapters
Ahmet Üstün, Alexandre Bérard, Laurent Besacier +1
We consider the problem of multilingual unsupervised machine translation, translating to and from languages that only have monolingual data by using auxiliary parallel language pai…
Lightweight Adapter Tuning for Multilingual Speech Translation
Hang Le, Juan Pino, Changhan Wang +3
Adapter modules were recently introduced as an efficient alternative to fine-tuning in NLP. Adapter tuning consists in freezing pretrained parameters of a model and injecting light…
On the Evaluation of Machine Translation for Terminology Consistency
Md Mahfuz ibn Alam, Antonios Anastasopoulos, Laurent Besacier +4
As neural machine translation (NMT) systems become an important part of professional translator pipelines, a growing body of work focuses on combining NMT with terminologies. In ma…
Spoken Term Detection Methods for Sparse Transcription in Very Low-resource Settings
Éric Le Ferrand, Steven Bird, Laurent Besacier
We investigate the efficiency of two very different spoken term detection approaches for transcription when the available data is insufficient to train a robust ASR system. This wo…
Do Multilingual Neural Machine Translation Models Contain Language Pair Specific Attention Heads?
Zae Myung Kim, Laurent Besacier, Vassilina Nikoulina +1
Recent studies on the analysis of the multilingual representations focus on identifying whether there is an emergence of language-independent representations, or whether a multilin…