Beyond Grammar

Rens Bod

ISBN 10: 157586150X / ISBN 13: 9781575861500

Edité par Centre for the Study of Language and Information, US, 1998

A propos de cet article

During the last few years, a new approach to linguistic analysis has started to emerge. This approach, which has come to be known under various labels such as 'data-oriented parsing', 'corpus-based interpretation' and 'treebank grammar', assumes that human language comprehension and production works with representations of concrete past language experiences rather than with abstract grammatical rules. It operates by decomposing the given representations into fragments and recomposing those pieces to analyze (infinitely many) new utterances. This book shows how this general approach can apply to various kinds of linguistic representations. Experiments with this approach suggest that the productive units of natural language cannot be defined by a minimal set of rules or principles, but need to be defined by a large, redundant set of previously experienced structures. Bod argues that this outcome has important consequences for linguistic theory, leading to an entirely new view of the nature of linguistic competence.

N° de réf. du vendeur LU-9781575861500

Détails bibliographiques

• Titre: Beyond Grammar
• Éditeur: Centre for the Study of Language and Information, US
• Date de parution: 1998
• Langue: anglais
• ISBN à 10 chiffres: 157586150X
• ISBN à 13 chiffres: 9781575861500
• Reliure: Paperback
• État de l'article: New
• Poids: 260 grammes

A propos de ce titre

Synopsis

During the last few years, a new approach to language processing has started to emerge, which has become known under the name of "Data Oriented Parsing" or "DOP". This approach embodies the assumption that human language comprehension and production works with representations of concrete past language experiences, rather than with abstract grammatical rules. The models that instantiate this approach therefore maintain corpora of linguistic representations of previously occurring utterances. New utterance-representations are constructed by freely combining partial structures from the corpus. A probability model is used to choose from the collection of different structures of different sizes those that make up the most appropriate representation of an utterance. In this book, DOP models for several kinds of linguistic representations are developed, ranging from tree representations, compositional semantic representations, attribute-value representations, and dialogue representations. These models are studied from a formal, linguistic and computational perspective and are tested with available language corpora. The main outcome of these tests suggests that the productive units of natural language cannot be defined in terms of a minimal set of rules (or constraints or principles), as is usually attempted in linguistic theory, but need to be defined in terms of a large, redundant set of previously experienced structures with virtually no restriction on their size and complexity. I will argue that this outcome has important consequences for linguistic theory, leading to a new notion of language competence. In particular, it means that the knowledge of a speaker/hearer cannot be understood as a grammar, but as a statistical ensemble of language experiences that changes slightly every time a new utterance is processed.

À propos de l?auteur

Rens Bod is professor of computational humanities at the University of Amsterdam.