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A handbook of computational linguist...

Singh, Youddha Beer.

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A handbook of computational linguistics = artificial intelligence in natural language processing /

Record Type:	Electronic resources : Monograph/item
Title/Author:	A handbook of computational linguistics/ edited by Youddha Beer Singh ... [et al.]
Reminder of title:	artificial intelligence in natural language processing /
other author:	Singh, Youddha Beer.
Published:	Singapore :Bentham Science Publishers, : 2024.,
Description:	1 online resource (394 p.) :ill. (some col.)
Subject:	Natural language processing (Computer science) -
Online resource:	https://www.eurekaselect.com/ebook_volume/3747
ISBN:	9789815238488

A handbook of computational linguistics = artificial intelligence in natural language processing /
A handbook of computational linguisticsartificial intelligence in natural language processing /[electronic resource] :edited by Youddha Beer Singh ... [et al.] - 1st ed. - Singapore :Bentham Science Publishers,2024. - 1 online resource (394 p.) :ill. (some col.) - Federated learning for internet of vehicles : IoV image processing, vision and intelligent systems ;vol. 2. - Federated learning for internet of vehicles : IoV image processing, vision and intelligent systems ;v. 2..

Includes bibliographical references and index.

This handbook provides a comprehensive understanding of computational linguistics focusing on the integration of deep learning in natural language processing NLP. 18 edited chapters cover the stateoftheart theoretical and experimental research on NLP offering insights into advanced models and recent applications. Highlights Foundations of NLP Provides an indepth study of natural language processing including basics challenges and applications. Advanced NLP Techniques Explores recent advancements in text summarization machine translation and deep learning applications in NLP. Practical Applications Demonstrates use cases on text identification from hazy images speechtosign language translation and word sense disambiguation using deep learning. Future Directions Includes discussions on the future of NLP including transfer learning beyond syntax and semantics and emerging challenges. Key Features Comprehensive coverage of NLP and deep learning integration. Practical insights into realworld applications Detailed exploration of recent research and advancements through 16 easy to read chapters References and notes on experimental methods used for advanced readers Ideal for researchers students and professionals this book offers a thorough understanding of computational linguistics by equipping readers with the knowledge to understand how computational techniques are applied to understand text language and speech.

ISBN: 9789815238488Subjects--Topical Terms:

565309
Natural language processing (Computer science)

LC Class. No.: QA76.9.N38

Dewey Class. No.: 006.35

A handbook of computational linguistics = artificial intelligence in natural language processing /
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245 0 2 $a A handbook of computational linguistics $h [electronic resource] : $b artificial intelligence in natural language processing / $c edited by Youddha Beer Singh ... [et al.]
250 $a 1st ed.
260 $a Singapore : $b Bentham Science Publishers, $c 2024.
300 $a 1 online resource (394 p.) : $b ill. (some col.)
490 1 $a Federated learning for internet of vehicles : IoV image processing, vision and intelligent systems ; $v vol. 2
504 $a Includes bibliographical references and index.
520 $a This handbook provides a comprehensive understanding of computational linguistics focusing on the integration of deep learning in natural language processing NLP. 18 edited chapters cover the stateoftheart theoretical and experimental research on NLP offering insights into advanced models and recent applications. Highlights Foundations of NLP Provides an indepth study of natural language processing including basics challenges and applications. Advanced NLP Techniques Explores recent advancements in text summarization machine translation and deep learning applications in NLP. Practical Applications Demonstrates use cases on text identification from hazy images speechtosign language translation and word sense disambiguation using deep learning. Future Directions Includes discussions on the future of NLP including transfer learning beyond syntax and semantics and emerging challenges. Key Features Comprehensive coverage of NLP and deep learning integration. Practical insights into realworld applications Detailed exploration of recent research and advancements through 16 easy to read chapters References and notes on experimental methods used for advanced readers Ideal for researchers students and professionals this book offers a thorough understanding of computational linguistics by equipping readers with the knowledge to understand how computational techniques are applied to understand text language and speech.
588 $a Description based on print version record.
650 0 $a Natural language processing (Computer science) $3 565309
650 0 $a Artificial intelligence. $3 516317
700 1 $a Singh, Youddha Beer. $3 3795059
830 0 $a Federated learning for internet of vehicles : IoV image processing, vision and intelligent systems ; $v v. 2. $3 3795060
856 4 0 $u https://www.eurekaselect.com/ebook_volume/3747