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Cross-Disciplinary Advances in Applied Natural Language Processing : Issues and Approaches - Chutima Boonthum-Denecke

Cross-Disciplinary Advances in Applied Natural Language Processing

Issues and Approaches

By: Chutima Boonthum-Denecke (Editor), Philip M. McCarthy (Editor), Travis Lamkin (Editor)

Hardcover Published: 1st April 2012
ISBN: 9781613504475
Number Of Pages: 438

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Applied Natural Language Processing (ANLP) is interested in not only the creation of natural language processing approaches (i.e., tools, systems, algorithms, models, theories, and techniques), but it is also (and, arguably, more specifically) interested in how those approaches stack up against new problems, issues, identified knowledge gaps, or created data sets. Cross-Disciplinary Advances in Applied Natural Language Processing: Issues and Approaches defines the role of ANLP within NLP, and alongside other disciplines such as linguistics, computer science, and cognitive science. The description also includes the categorization of current ANLP research, and examples of current research in ANLP. This book is a useful reference for teachers, students, and materials developers in fields spanning linguistics, computer science, and cognitive science.

ISBN: 9781613504475
ISBN-10: 1613504470
Audience: Professional
Format: Hardcover
Language: English
Number Of Pages: 438
Published: 1st April 2012
Publisher: Business Science Reference
Country of Publication: US
Dimensions (cm): 27.69 x 21.84  x 3.05
Weight (kg): 1.24

Earn 484 Qantas Points
on this Book