no code implementations • JEP/TALN/RECITAL 2022 • Lichao Zhu, Guillaume Wisniewski, Nicolas Ballier, François Yvon
Ce travail présente deux séries d’expériences visant à identifier les flux d’information dans les systèmes de traduction neuronaux.
no code implementations • JEP/TALN/RECITAL 2021 • Guillaume Wisniewski, Lichao Zhou, Nicolas Ballier, François Yvon
Cet article présente les premiers résultats d’une étude en cours sur les biais de genre dans les corpus d’entraînements et dans les systèmes de traduction neuronale.
no code implementations • WMT (EMNLP) 2021 • Nicolas Ballier, Dahn Cho, Bilal Faye, Zong-You Ke, Hanna Martikainen, Mojca Pecman, Guillaume Wisniewski, Jean-Baptiste Yunès, Lichao Zhu, Maria Zimina-Poirot
Experiment 2 uses OpenNMT to fine-tune the model.
1 code implementation • 5 Dec 2022 • Zineddine Tighidet, Nicolas Ballier
In this paper we investigated two different methods to parse relative and noun complement clauses in English and resorted to distinct tags for their corresponding that as a relative pronoun and as a complementizer.
no code implementations • EMNLP (BlackboxNLP) 2021 • Guillaume Wisniewski, Lichao Zhu, Nicolas Ballier, François Yvon
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 English.
no code implementations • 10 Dec 2020 • 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.
no code implementations • JEPTALNRECITAL 2020 • Aur{\'e}lie Chl{\'e}bowski, Nicolas Ballier
Cet article se propose d{'}envisager l{'}existence d{'}une grammaire sp{\'e}cifique aux interactions nasalis{\'e}es (Chl{\'e}bowski et Ballier, 2015).
no code implementations • JEPTALNRECITAL 2020 • Thomas Gaillat, Nicolas Ballier, Ann Sousa, a, Manon Bouy{\'e}, Andrew Simpkin, Bernardo Stearns, Manel Zarrouk
Cet article d{\'e}crit un prototype ax{\'e} sur la pr{\'e}diction du niveau de comp{\'e}tence des apprenants de l{'}anglais.
no code implementations • LREC 2020 • Nicolas Ballier, Nabil Amari, Laure Merat, Jean-Baptiste Yun{\`e}s
In this paper, we reproduce some of the experiments related to neural network training for Machine Translation as reported in (Vanmassenhove and Way, 2018).
no code implementations • LREC 2020 • Aur{\'e}lie Chl{\'e}bowski, Nicolas Ballier
We analyse the effect of non-modal phonation (especially ingressive phonation) on duration and discuss a specialisation of grunts observed in the CID for grunts with ingressive phonation.
no code implementations • LREC 2020 • Ann Sousa, a, Nicolas Ballier, Thomas Gaillat, Bernardo Stearns, Manel Zarrouk, Andrew Simpkin, Manon Bouy{\'e}
This paper describes the workflow and architecture adopted by a linguistic research project.
no code implementations • 28 Jun 2018 • Taylor Arnold, Nicolas Ballier, Thomas Gaillat, Paula Lissòn
The purpose is to build a model for the prediction of learner levels as a function of language complexity features.