From Pragmatics and Corpus Linguistics to Machine Learning
Document type :
Ouvrage (y compris édition critique et traduction)
Title :
Models of Modals
From Pragmatics and Corpus Linguistics to Machine Learning
From Pragmatics and Corpus Linguistics to Machine Learning
Author(s) :
Depraetere, Ilse [Auteur]
Savoirs, Textes, Langage (STL) - UMR 8163 [STL]
Cappelle, Bert [Auteur]
Savoirs, Textes, Langage (STL) - UMR 8163 [STL]
Université de Lille
Hilpert, Martin [Auteur]
Université de Neuchâtel = University of Neuchatel [UNINE]
Cuypere, Ludovic De [Auteur]
Dehouck, Mathieu [Auteur]
Lattice - Langues, Textes, Traitements informatiques, Cognition - UMR 8094 [Lattice]
Denis, Pascal [Auteur]
Machine Learning in Information Networks [MAGNET]
Flach, Susanne [Auteur]
Grabar, Natalia [Auteur]
Université de Lille
Savoirs, Textes, Langage (STL) - UMR 8163 [STL]
Grandin, Cyril [Auteur]
Savoirs, Textes, Langage (STL) - UMR 8163 [STL]
Hamon, Thierry [Auteur]
Laboratoire d'Informatique de Paris-Nord [LIPN]
Hufeld, Clemens [Auteur]
Leclercq, Benoit [Auteur]
Transferts critiques anglophones [TransCrit]
Université Paris 8 Vincennes-Saint-Denis [UP8]
Schmid, Hans-Jörg [Auteur]

Savoirs, Textes, Langage (STL) - UMR 8163 [STL]
Cappelle, Bert [Auteur]

Savoirs, Textes, Langage (STL) - UMR 8163 [STL]
Université de Lille
Hilpert, Martin [Auteur]
Université de Neuchâtel = University of Neuchatel [UNINE]
Cuypere, Ludovic De [Auteur]
Dehouck, Mathieu [Auteur]
Lattice - Langues, Textes, Traitements informatiques, Cognition - UMR 8094 [Lattice]
Denis, Pascal [Auteur]

Machine Learning in Information Networks [MAGNET]
Flach, Susanne [Auteur]
Grabar, Natalia [Auteur]

Université de Lille
Savoirs, Textes, Langage (STL) - UMR 8163 [STL]
Grandin, Cyril [Auteur]
Savoirs, Textes, Langage (STL) - UMR 8163 [STL]
Hamon, Thierry [Auteur]
Laboratoire d'Informatique de Paris-Nord [LIPN]
Hufeld, Clemens [Auteur]
Leclercq, Benoit [Auteur]
Transferts critiques anglophones [TransCrit]
Université Paris 8 Vincennes-Saint-Denis [UP8]
Schmid, Hans-Jörg [Auteur]
Publisher :
De Gruyter Mouton
Publication place :
Berlin
Publication date :
2023
ISBN :
9783110734157
English keyword(s) :
English Modals
Pragmatics
Corpus Linguistics
Machine Learning
Pragmatics
Corpus Linguistics
Machine Learning
HAL domain(s) :
Sciences de l'Homme et Société/Linguistique
Statistiques [stat]/Machine Learning [stat.ML]
Statistiques [stat]/Machine Learning [stat.ML]
English abstract : [en]
Modal verbs in English communicate delicate shades of meaning, there being a large range of verbs both on the necessity side (must, have to, should, ought to, need, need to) and the possibility side (can, may, could, might, ...
Show more >Modal verbs in English communicate delicate shades of meaning, there being a large range of verbs both on the necessity side (must, have to, should, ought to, need, need to) and the possibility side (can, may, could, might, be able to). They therefore constitute excellent test ground to apply and compare different methodologies that can lay bare the factors that drive the speaker’s choice of modal verb. This book is not merely concerned with a purely grammatical description of the use of modal verbs, but aims at advancing our understanding of lexical and grammatical units in general and of linguistic methodologies to explore these. It thus involves a genuine effort to compare, assess and combine a variety of approaches. It complements the leading descriptive qualitative work on modal verbs by testing a diverse range of quantitative methods, while not ignoring qualitative issues pertaining to the semantics-pragmatics interface. Starting from a critical assessment of what constitutes the meaning of modal verbs, different types of empirical studies (usage-based, data-driven and experimental), drawing considerably on the same data sets, shows how method triangulation can contribute to an enhanced understanding. Due attention is also given to individual variation as well as the degree to which modals can predict L2 proficiency level.Show less >
Show more >Modal verbs in English communicate delicate shades of meaning, there being a large range of verbs both on the necessity side (must, have to, should, ought to, need, need to) and the possibility side (can, may, could, might, be able to). They therefore constitute excellent test ground to apply and compare different methodologies that can lay bare the factors that drive the speaker’s choice of modal verb. This book is not merely concerned with a purely grammatical description of the use of modal verbs, but aims at advancing our understanding of lexical and grammatical units in general and of linguistic methodologies to explore these. It thus involves a genuine effort to compare, assess and combine a variety of approaches. It complements the leading descriptive qualitative work on modal verbs by testing a diverse range of quantitative methods, while not ignoring qualitative issues pertaining to the semantics-pragmatics interface. Starting from a critical assessment of what constitutes the meaning of modal verbs, different types of empirical studies (usage-based, data-driven and experimental), drawing considerably on the same data sets, shows how method triangulation can contribute to an enhanced understanding. Due attention is also given to individual variation as well as the degree to which modals can predict L2 proficiency level.Show less >
Language :
Anglais
Audience :
Internationale
Popular science :
Non
Collections :
Source :