Introduction to Natural Language Processing (Adaptive Computation and Machine Learning series)
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Covers both classical and modern machine learning techniques for NLP, enabling readers to apply knowledge to real-world problems
Explores linguistic structure, machine learning applications, and challenges in language processing for a holistic understanding
Includes end-of-chapter exercises with both paper and software implementation, reinforcing learning and practical skills
Focuses on practical implementation and theoretical foundations, preparing readers for advanced research and software development
Suitable for advanced undergraduates, graduate students, and professionals in technology and research fields
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A survey of computational methods for understanding, generating, and manipulating human language, which offers a synthesis of classical representations and algorithms with contemporary machine learning techniques.This textbook provides a technical perspective on natural language processing—methods for building computer software that under