Focuses on the relationships between linguistic insights and language technology. In this volume, contributors offer perspectives on semantic representations for textual inference. Editor(s): Condoravdi, Cleo; De Paiva, Valeria; Zaenen, Annie E. Num Pages: 364 pages. BIC Classification: CFG; CFX. Category: (G) General (US: Trade). Dimension: 60 x 90 x 23. Weight in Grams: 499. . 2015. Annotated. Paperback. . . . .

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D�tails bibliographiques

Titre: Linguistic Issues in Language Technology
�diteur: Centre for the Study of Language & Information
Date de parution: 2015
Langue: anglais
ISBN � 10 chiffres: 157586844X
ISBN � 13 chiffres: 9781575868448
Reliure: Couverture souple
�tat de l'article: New

A propos de ce titre

Synopsis

Linguistic Issues in Language Technology (LiLT) is an open-access journal that focuses on the relationships between linguistic insights and language technology. In conjunction with machine learning and statistical techniques, deeper and more sophisticated models of language and speech are needed to make significant progress in both existing and newly emerging areas of computational language analysis. The vast quantity of electronically accessible natural language data (text and speech, annotated and unannotated, formal and informal) provides unprecedented opportunities for data-intensive analysis of linguistic phenomena, which can in turn enrich computational methods. Taking an eclectic view on methodology, LiLT provides a forum for this work. In this volume, contributors offer new perspectives on semantic representations for textual inference.

� propos des auteurs

Annie Zaenen is consulting professor in linguistics at Stanford University.

Cleo Condoravdi is professor of linguistics at Stanford University, specializing in natural language semantics and pragmatics.

Valeria de Paiva is senior research scientist at Nuance Communications and an honorary fellow in the School of Computer Science at the University of Birmingham, UK.

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