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PamuksaƧ, Aylin
Nom
PamuksaƧ, Aylin
Affiliation principale
Fonction
Assistante doctorante
Email
aylin.pamuksac@unine.ch
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- PublicationAccĆØs libreSimilarities and disparities among French modal verbs through co-occurrence correspondence analysis(2022-8-7)The French modal verbs devoir, pouvoir, falloir and vouloir are rarely considered in one same study although they can all express the same main modalities which are the epistemic and the deontic values. In this paper, we want to show that despite the fact they are polysemous and seem to be interchangeable in some context, they are quite different in their use. To do so, we show how close or distant they are through correspondence analysis (CA). This study is innovative because this methodology will be used to determine proximities and distances between words and not between parts of the text, as is usually the case. The CAs are constructed on co-occurrences that modal verbs have with their verbal complementation and the subject pronouns that govern them. Not only do we compare two parameters to see if the properties of the modal verbs are stable but, we also conduct this research in four different corpora, two journalistic, and two encyclopedic to show regular patterns between genres.
- PublicationAccĆØs libreLes verbes modaux du franƧais : ressemblances et dissociations Ć lāaide de leurs associations avec les verbes dicendi et putandiCet article a pour but de saisir les ressemblances et les divergences entre les quatre principaux verbes modaux du franƧais (devoir, pouvoir, falloir et vouloir) dans une dĆ©marche quantitative. Les Ć©tudes qualitatives Ć leur sujet attestent une polyvalence dāutilisation au sein des modalitĆ©s et pourtant, ces verbes diffĆØrent dans leur usage. Pour ce faire, nous comparons leurs associations avec des verbes de communication et dāactivitĆ© mentale afin de relever des nuances dāusage lorsquāils modalisent des complĆ©mentations verbales qui elles aussi rĆ©vĆØlent une attitude du locuteur. Ces associations sont illustrĆ©es Ć lāaide dāun indice de spĆ©cificitĆ© qui est le Log-Likelihood et une reprĆ©sentation graphique grĆ¢ce Ć lāanalyse factorielle des correspondances.