Speech and Language Processing
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Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Stock photo provided. Product includes identifying…
Book Summary
Speech and Language Processing by Jurafsky and Martin is a foundational textbook covering natural language processing, speech recognition, and computational linguistics. This used copy has intact pages with minimal writing, though the binding may be loose. It's an essential resource for students and professionals seeking a comprehensive, authoritative guide to the algorithms and models behind modern language technology.
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About Speech and Language Processing
Speech and Language Processing by Daniel Jurafsky and James Martin is a widely adopted textbook that provides an in-depth exploration of natural language processing (NLP) and speech recognition. It covers fundamental concepts such as regular expressions, finite-state automata, probabilistic models, and machine learning techniques, progressing to advanced topics like parsing, semantic analysis, and dialogue systems. The book balances theoretical foundations with practical algorithms, making it suitable for both academic study and professional reference. This used copy has pages intact with minimal writing or highlighting, though the binding may be loose and creased. Dust jackets and supplements are not included, and a stock photo is provided. It includes an identifying sticker but remains a valuable resource for anyone studying computational linguistics.
Who should read Speech and Language Processing?
This book is ideal for undergraduate and graduate students in computer science, linguistics, and cognitive science taking courses in NLP or speech processing. It also suits researchers and practitioners seeking a comprehensive reference on language technology. Instructors can use it as a course text, while self-learners with a basic background in algorithms and probability will find it accessible. Professionals in AI, machine translation, and conversational interfaces will benefit from its thorough coverage of both classical and modern approaches.
Pros & Cons
Pros
- ✓ Comprehensive coverage of NLP and speech processing fundamentals
- ✓ Authoritative and widely cited in academic and industry settings
- ✓ Clear explanations of complex algorithms with practical examples
- ✓ Balances theory with implementation-oriented insights
- ✓ Used copy offers cost savings while remaining fully readable
Cons
- ✗ Binding may be loose or creased, affecting durability
- ✗ Minimal writing/highlighting may be present from previous owner
- ✗ Supplements and dust jacket not included
- ✗ Some advanced topics may require supplementary materials
- ✗ Stock photo may not reflect exact condition
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Frequently asked questions
Is this book suitable for beginners in NLP?
It assumes some background in algorithms and probability, but the early chapters provide foundational concepts. Beginners may need to supplement with introductory materials.
Does this edition cover deep learning?
The 2nd edition focuses on classical methods; deep learning is covered in the 3rd edition. However, it provides essential foundations for understanding modern approaches.
What condition is this used copy in?
Pages are intact with minimal writing/highlighting. The binding may be loose and creased, and supplements are not included. A stock photo is provided.
Is this book useful for speech recognition?
Yes, it includes dedicated chapters on speech processing, including acoustic models and recognition algorithms.
Are there exercises for practice?
Yes, each chapter includes exercises to reinforce learning, making it suitable for coursework and self-study.
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