output
20182026
most citedScreening Gender Transfer in Neural Machine Translation

5 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions

5 papers

cs.CL2026

Machine Translation and Post-Editing: Comparative Evaluation of Different MT Systems and Post-Editor Groups in Specialised Translation

Joachim Minder, Alexandra Mestivier, Natalie Kübler

This article aims to evaluate the quality of machine translation (MT) and post-editing (PE) in the context of specialised translation from English into French. Three MT systems (De…

cs.CL2025

Assessing the validity of new paradigmatic complexity measures as criterial features for proficiency in L2 writings in English

Cyriel Mallart, Andrew Simpkin, Nicolas Ballier +5

This article addresses Second Language (L2) writing development through an investigation of new grammatical and structural complexity metrics. We explore the paradigmatic productio…

cs.CL2022★ 5 cited

Screening Gender Transfer in Neural Machine Translation

Guillaume Wisniewski, Lichao Zhu, Nicolas Ballier +1

This paper aims at identifying the information flow in state-of-the-art machine translation systems, taking as example the transfer of gender when translating from French into Engl…

cs.CL2020

Approches quantitatives de l'analyse des pr{é}dictions en traduction automatique neuronale (TAN)

Maria Zimina-Poirot, Nicolas Ballier, Jean-Baptiste Yunès

As part of a larger project on optimal learning conditions in neural machine translation, we investigate characteristic training phases of translation engines. All our experiments…

cs.CL2018★ 2 cited

Predicting CEFRL levels in learner English on the basis of metrics and full texts

Taylor Arnold, Nicolas Ballier, Thomas Gaillat +1

This paper analyses the contribution of language metrics and, potentially, of linguistic structures, to classify French learners of English according to levels of the Common Europe…