Speech and Language Processing
Daniel Jurafsky and James H. Martin
The gold standard NLP textbook from Stanford and CU Boulder. Covers tokenization, language models, transformers, LLMs, machine translation, speech recognition, and information extraction.
Loading the book...
Keep reading
-
Next in this topic
Natural Language ProcessingComprehensive NLP textbook covering text classification, sequence labeling, parsing, semantics, information extraction, machine translation, and dialogue systems with mathematical rigor.
Verified PDF · Secure download - Foundation Models for Natural Language Processing
Open access Springer textbook on pre-trained language models. Covers BERT, GPT, T5, multimodal models, and applications in question answering, summarization, and dialogue systems.
Verified PDF · Secure download - Programming Computer Vision with Python
Hands-on guide to computer vision using Python with PIL, NumPy, and SciPy. Covers image processing, feature detection, camera models, panorama creation, object recognition, and 3D reconstruction.
Verified PDF · Secure download - Deep Learning in Computer Vision: Principles and Applications
Academic collection covering CNN optimization, object detection (YOLO), semantic segmentation, medical imaging, aerial imagery, and face recognition with deep learning approaches.
Verified PDF · Secure download - Artificial Intelligence
A People's Guide to AI - accessible introduction covering everyday AI, algorithms, machine learning, and equity. Includes hands-on workbook activities for non-technical audiences.
Verified PDF · Secure download
