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Linguistic Issues in Language Technology focuses on the relationships between linguistic insights and language technology. In conjunction with machine learning and statistical techniques, 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 provides unprecedented opportunities for data-intensive analysis of linguistic phenomena, which can in turn enrich computational methods. Linguistic Issues in Language Technology provides a forum for this work. In this volume, contributors offer new perspectives on semantic representations for textual inference.
About the Author: Cleo 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.
Title: Linguistic Issues in Language Technology : ...
Publisher: Center for the Study of Language and Inf
Publication Date: 2015
Binding: Soft cover
Condition: New
Seller: Midtown Scholar Bookstore, Harrisburg, PA, U.S.A.
Paperback. Condition: Good. Good - Bumped and creased book with tears to the extremities, but not affecting the text block, may have remainder mark or previous owner's name - GOOD Standard-sized. Seller Inventory # M157586844XZ3
Seller: Chiron Media, Wallingford, United Kingdom
Paperback. Condition: New. Seller Inventory # 6666-WLY-9781575868448
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Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Condition: New. 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. . . . . Seller Inventory # V9781575868448
Seller: Revaluation Books, Exeter, United Kingdom
Paperback. Condition: Brand New. 346 pages. 8.75x6.00x0.75 inches. In Stock. Seller Inventory # __157586844X
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Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Paperback / softback. Condition: New. New copy - Usually dispatched within 4 working days. Seller Inventory # B9781575868448
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Seller: Majestic Books, Hounslow, United Kingdom
Condition: New. pp. 364. Seller Inventory # 311921900
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Seller: Kennys Bookstore, Olney, MD, U.S.A.
Condition: New. 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. . . . . Books ship from the US and Ireland. Seller Inventory # V9781575868448
Seller: Rarewaves.com UK, London, United Kingdom
Paperback. Condition: New. Linguistic Issues in Language Technology focuses on the relationships between linguistic insights and language technology. In conjunction with machine learning and statistical techniques, 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 provides unprecedented opportunities for data-intensive analysis of linguistic phenomena, which can in turn enrich computational methods. Linguistic Issues in Language Technology provides a forum for this work. In this volume, contributors offer new perspectives on semantic representations for textual inference. Seller Inventory # LU-9781575868448
Quantity: 2 available
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Paperback. Condition: New. Linguistic Issues in Language Technology focuses on the relationships between linguistic insights and language technology. In conjunction with machine learning and statistical techniques, 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 provides unprecedented opportunities for data-intensive analysis of linguistic phenomena, which can in turn enrich computational methods. Linguistic Issues in Language Technology provides a forum for this work. In this volume, contributors offer new perspectives on semantic representations for textual inference. Seller Inventory # LU-9781575868448
Quantity: 2 available
Seller: Books Puddle, New York, NY, U.S.A.
Condition: New. pp. 364. Seller Inventory # 26316683059