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Foundations of Statistical Natural Language Processing, ISBN-13: 978-0262133609
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"Foundations of Statistical Natural Language Processing" is a comprehensive guide to the principles and techniques of statistical methods used in natural language processing (NLP). Authored by Christopher D. Manning and Hinrich Schütze, the book covers a wide range of topics, including probabilistic models, techniques for parsing and part-of-speech tagging, word embeddings, and language modeling. It emphasizes the mathematical and computational foundations necessary for understanding and implementing statistical approaches to language processing, making it a vital resource for students and professionals in the field of computational linguistics and NLP. The book also includes practical examples and exercises that reinforce the theoretical concepts discussed.
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Title: Foundations of Statistical Natural Language Processing
Authors: Chris D. Manning and Hinrich Schütze
Publisher: MIT Press
Publication Year: 1999
ISBN-13: 978-0262133609
Pages: 632
Subject: Natural Language Processing, Computational Linguistics, Statistical Methods in Linguistics
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"Foundations of Statistical Natural Language Processing" provides a comprehensive framework for understanding the statistical approaches employed in the field of natural language processing. It bridges theoretical concepts with practical applications, making it an essential resource for researchers and practitioners alike. The book emphasizes the importance of probabilistic models and algorithms, illustrating their effectiveness in various NLP tasks. With its detailed explanations and rigorous approach, it serves as both an introductory text for newcomers and a reference work for experienced professionals, fostering a deeper understanding of the intricate relationship between language and computation.
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PDF – ePub: Foundations of Statistical Natural Language Processing, ISBN-13: 978-0262133609
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