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OverviewLinguistic 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. Full Product DetailsAuthor: Annie Zaenen , Cleo Condoravdi , Valeria de PaivaPublisher: Centre for the Study of Language & Information Imprint: Centre for the Study of Language & Information Edition: Annotated edition Dimensions: Width: 1.60cm , Height: 0.20cm , Length: 2.30cm Weight: 0.482kg ISBN: 9781575868448ISBN 10: 157586844 Pages: 364 Publication Date: 15 January 2015 Audience: College/higher education , Undergraduate , Postgraduate, Research & Scholarly Format: Paperback Publisher's Status: Active Availability: Out of stock  The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available. Table of ContentsReviewsAuthor InformationCleo Condoravdi is professor of linguistics at Stanford University. Valeria de Paiva is a mathematician and computer scientist at the Natural Language and AI Research Laboratory of Nuance Communications, Inc. Annie Zaenen is consulting professor in linguistics at Stanford University. Tab Content 6Author Website:Countries AvailableAll regions |
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