Cross-Disciplinary Advances in Applied Natural Language Processing: Issues and Approaches (e-bog) af -
Travis (redaktør)

Cross-Disciplinary Advances in Applied Natural Language Processing: Issues and Approaches e-bog

2190,77 DKK (inkl. moms 2738,46 DKK)
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...
E-bog 2190,77 DKK
Forfattere Travis (redaktør)
Udgivet 31 december 2011
Genrer CFX
Sprog English
Format epub
Beskyttelse LCP
ISBN 9781466604803
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.