Book Description: Title: A Course in Natural Language Processing Author: Christopher Manning and Hinrich Schütze Publication Year: 19997 Pages: 460 pages Publisher: Morgan Kaufmann Publishers Language: English Subject: Computer Science/Natural Language Processing Book Summary: A Course in Natural Language Processing (NLP) is a comprehensive textbook that provides an in-depth introduction to the field of NLP, covering topics such as language models, parsing, and machine learning. The book is written at a level suitable for graduate students or advanced undergraduates who have some background in computer science and mathematics. It covers the fundamental concepts and techniques of NLP, providing readers with a solid foundation for further study in this exciting and rapidly evolving field. The book begins with an overview of the field of NLP, discussing its history, key applications, and the challenges it faces. It then delves into the basics of language models, including the concept of linguistic units, the relationship between syntax and semantics, and the use of probabilistic models in NLP. The authors also explore the various approaches to parsing, including top-down and bottom-up parsing, and discuss the importance of semantic analysis in understanding natural language. The second half of the book focuses on machine learning techniques for NLP, including decision trees, rule-based systems, and neural networks. The authors provide a detailed explanation of how these techniques can be used for tasks such as part-of-speech tagging, named entity recognition, and sentiment analysis.

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