activity
20162024
most citedSYSTRAN's Pure Neural Machine Translation Systems

75 citations · 127 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CL2024

Retrieving Examples from Memory for Retrieval Augmented Neural Machine Translation: A Systematic Comparison

Maxime Bouthors, Josep Crego, Francois Yvon

Retrieval-Augmented Neural Machine Translation (RAMT) architectures retrieve examples from memory to guide the generation process. While most works in this trend explore new ways t…

cs.CL2023

Towards Example-Based NMT with Multi-Levenshtein Transformers

Maxime Bouthors, Josep Crego, François Yvon

Retrieval-Augmented Machine Translation (RAMT) is attracting growing attention. This is because RAMT not only improves translation metrics, but is also assumed to implement some fo…

cs.CL2023

BiSync: A Bilingual Editor for Synchronized Monolingual Texts

Josep Crego, Jitao Xu, François Yvon

In our globalized world, a growing number of situations arise where people are required to communicate in one or several foreign languages. In the case of written communication, us…

cs.CL201645 cited

Domain specialization: a post-training domain adaptation for Neural Machine Translation

Christophe Servan, Josep Crego, Jean Senellart

Domain adaptation is a key feature in Machine Translation. It generally encompasses terminology, domain and style adaptation, especially for human post-editing workflows in Compute…

cs.CL20167 cited

Neural Machine Translation from Simplified Translations

Josep Crego, Jean Senellart

Text simplification aims at reducing the lexical, grammatical and structural complexity of a text while keeping the same meaning. In the context of machine translation, we introduc…

cs.CL201675 cited

SYSTRAN's Pure Neural Machine Translation Systems

Josep Crego, Jungi Kim, Guillaume Klein +27

Since the first online demonstration of Neural Machine Translation (NMT) by LISA, NMT development has recently moved from laboratory to production systems as demonstrated by severa…