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Graded Grammaticality: a Computational Framework: The Modelling of Natural Language with Grammaticality Judgements - Couverture souple

Prost, Jean-Philippe

 
9783838337197: Graded Grammaticality: a Computational Framework: The Modelling of Natural Language with Grammaticality Judgements
Couverture souple
ISBN 10 : 3838337190 ISBN 13 : 9783838337197
Editeur : LAP Lambert Academic Publishing, 2010

Synopsis

The grammaticality of a sentence has conventionally been treated in a binary way: either a sentence is grammatical or not. Yet, it is commonly acknowledged that a natural language, in its everyday use, is uttered along various degrees of grammatical acceptability, with utterances being more grammatical than others. A growing body of academic work focuses on studying intermediate levels of acceptability, sometimes referred to as 'gradience'. To date, the bulk of this work has concerned itself with the exploration of human assessments of syntactic gradience. This book explores the possibility to build a robust computational model that accords with these human judgements. A solution is presented to make an optimal use of the linguistic knowledge about a grammatical or non-canonical sentence, and rate that sentence according to grammatical judgements. This book should be of interest to linguists and computer scientists, whether academics or professionals in the Natural Language Processing industry, who are interested in the robust processing of syntactic knowledge about unrestricted language.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

The grammaticality of a sentence has conventionally been treated in a binary way: either a sentence is grammatical or not. Yet, it is commonly acknowledged that a natural language, in its everyday use, is uttered along various degrees of grammatical acceptability, with utterances being more grammatical than others. A growing body of academic work focuses on studying intermediate levels of acceptability, sometimes referred to as 'gradience'. To date, the bulk of this work has concerned itself with the exploration of human assessments of syntactic gradience. This book explores the possibility to build a robust computational model that accords with these human judgements. A solution is presented to make an optimal use of the linguistic knowledge about a grammatical or non-canonical sentence, and rate that sentence according to grammatical judgements. This book should be of interest to linguists and computer scientists, whether academics or professionals in the Natural Language Processing industry, who are interested in the robust processing of syntactic knowledge about unrestricted language.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP Lambert Academic Publishing
Date d'édition
2010
Langue
anglais
ISBN 10 
3838337190
ISBN 13 
9783838337197
Reliure
Broché
Nombre de pages
252
Coordonnées du fabricant
non disponible
Personne responsable
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