• Title: Speech and Language Processing
• Author(s) Dan Jurafsky, James H. Martin
• Publisher: Prentice Hall, 2nd edition (May 16, 2008); eBook (3rd ed. draft, Feb 3, 2024)
• License(s): CC BY-NC-ND 3.0 US
• Hardcover: 1024 pages
• eBook: PDF (653 page, Feb 3, 2024) and Microsoft PowerPoint Open XML (PPTX) Files
• Language: English
• ISBN-10: 0131873210
• ISBN-13: 978-0131873216
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Book Description

This draft includes a large portion of our new Chapter 11, which covers BERT and fine-tuning, augments the logistic regression chapter to better cover softmax regression, and fixes many other bugs and typos throughout

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 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.

• Dan Jurafsky is an associate professor in the Department of Linguistics, and by courtesy in Department of Computer Science, at Stanford University.

• Amazon

• Computational Linguistics and Natural Language Processing
• Machine Learning
• Deep Learning and Neural Networks
• Artificial Intelligence
• Statistics, Mathematical Statistics

• Speech and Language Processing (Dan Jurafsky, et al)
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