This textbook provides a comprehensive and mathematically rigorous introduction to Natural Language Processing (NLP), guiding the reader from classical foundations to modern deep learning approaches. Spanning 10 chapters, 212 pages, over 200 equations, 60 figures, 50 tables, and 80 fully solved problems, the book is designed for advanced undergraduate and graduate students in computer science, electrical engineering, and related disciplines, as well as researchers and practitioners seeking a self-contained reference.
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