Search Results for author:
Found 12 papers, 1 papers with code
Biais de genre dans un système de traduction automatiqueneuronale : une étude préliminaire (Gender Bias in Neural Translation : a preliminary study )
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.
The SPECTRANS System Description for the WMT21 Terminology Task
Experiment 2 uses OpenNMT to fine-tune the model.
Flux d’informations dans les systèmes encodeur-décodeur. Application à l’explication des biais de genre dans les systèmes de traduction automatique. (Information flow in encoder-decoder systems applied to the explanation of gender bias in machine translation systems)
Ce travail présente deux séries d’expériences visant à identifier les flux d’information dans les systèmes de traduction neuronaux.
Fine-tuning a Subtle Parsing Distinction Using a Probabilistic Decision Tree: the Case of Postnominal "that" in Noun Complement Clauses vs. Relative Clauses
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.
Screening Gender Transfer in Neural Machine Translation
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.
Approches quantitatives de l'analyse des pr{é}dictions en traduction automatique neuronale (TAN)
As part of a larger project on optimal learning conditions in neural machine translation, we investigate characteristic training phases of translation engines.
C'est ``mm-hm, oui'' ou ``mm-hm, non'' ? Propositions pour une grammaire des composantes acoustiques des interactions nasalis\'ees (A modest proposal for the pragmatic of nasal grunts in the CID corpus)
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).
Un prototype en ligne pour la pr\'ediction du niveau de comp\'etence en anglais des productions \'ecrites (A prototype for web-based prediction of English proficiency levels in writings)
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.
From Linguistic Research Projects to Language Technology Platforms: A Case Study in Learner Data
This paper describes the workflow and architecture adopted by a linguistic research project.
The Learnability of the Annotated Input in NMT Replicating (Vanmassenhove and Way, 2018) with OpenNMT
In this paper, we reproduce some of the experiments related to neural network training for Machine Translation as reported in (Vanmassenhove and Way, 2018).
A Manually Annotated Resource for the Investigation of Nasal Grunts
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.
Predicting CEFRL levels in learner English on the basis of metrics and full texts
The purpose is to build a model for the prediction of learner levels as a function of language complexity features.
