Python for Natural Language Processing by Pierre M. Nugues HARDBACK

Springer International Publishing AG

Unlock the power of Natural Language Processing with this comprehensive guide, updated for the latest breakthroughs and essential programming techniques. This book delves into modern NLP, covering topics from text processing to advanced Transformer architectures like BERT. Using Python notebooks, you'll gain hands-on experience with NumPy, scikit-learn, Keras, and PyTorch, enabling you to load corpora, format text, and apply models with practical code examples. Perfect for those new to Python for NLP, the book includes an introduction to the language and its core data structures. Explore key concepts such as Word Segmentation, Part-of-Speech Tagging, and Sequence Annotation. Learn how to use Self-Attention and Sequence-to-Sequence Architectures and understand the role of Machine Learning in modern NLP. The content is designed for practical application, with examples that run on most machines for quick, visible results. Summary: Python for Natural Language Processing, Hardcover, First edition, English, 520 pages, ISBN 9783031575488, Written by Pierre M. Nugues, published by Springer Cham.