(EBOOK PDF) Speech and Language Processing 2nd Edition by Daniel Jurafsky, James Martin ISBN 0133252930 9780133252934 full chapters

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Product details:

ISBN 10: 0133252930

ISBN 13: 9780133252934

Author:  Daniel Jurafsky, James Martin 

Speech and Language Processing 2nd Edition: 

For undergraduate or advanced undergraduate courses in Classical Natural Language Processing, Statistical Natural Language Processing, Speech Recognition, Computational Linguistics, and Human Language Processing.

 

An explosion of Web-based language techniques, merging of distinct fields, availability of phone-based dialogue systems, and much more make this an exciting time in speech and language processing. The first of its kind to thoroughly cover language technology – at all levels and with all modern technologies – this text takes an empirical approach to the subject, based on applying statistical and other machine-learning algorithms to large corporations. The authors cover areas that traditionally are taught in different courses, to describe a unified vision of speech and language processing. Emphasis is on practical applications and scientific evaluation. An accompanying Website contains teaching materials for instructors, with pointers to language processing resources on the Web. The Second Edition offers a significant amount of new and extended material.

 

Speech and Language Processing 2nd Edition Table of contents:

Part I: Fundamental Algorithms

• 1: Introduction
• 2: Regular Expressions, Tokenization, Edit Distance
• 3: N-gram Language Models
• 4: Naive Bayes, Text Classification, and Sentiment
• 5: Logistic Regression
• 6: Vector Semantics and Embeddings
• 7: Neural Networks
• 8: RNNs and LSTMs
• 9: Transformers
• 10: Large Language Models
• 11: Masked Language Models
• 12: Model Alignment, Prompting, and In-Context Learning

Part II: NLP Applications

• 13: Machine Translation
• 14: Question Answering, Information Retrieval, and RAG
• 15: Chatbots and Dialogue Systems
• 16: Automatic Speech Recognition and Text-to-Speech

Part III: Annotating Linguistic Structure

• 17: Sequence Labeling for Parts of Speech and Named Entities
• 18: Context-Free Grammars and Constituency Parsing
• 19: Dependency Parsing
• 20: Information Extraction: Relations, Events, and Time
• 21: Semantic Role Labeling and Argument Structure
• 22: Lexicons for Sentiment, Affect, and Connotation
• 23: Coreference Resolution and Entity Linking
• 24: Discourse Coherence

 

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Daniel Jurafsky,James Martin,Speech,Language,Processing