Foundation Models for Natural Language Processing

The gold standard NLP textbook from Stanford and CU Boulder. Covers tokenization, language models, transformers, LLMs, machine translation, speech recognition, and information extraction.

Daniel Jurafsky and James H. Martin

Comprehensive NLP textbook covering text classification, sequence labeling, parsing, semantics, information extraction, machine translation, and dialogue systems with mathematical rigor.

Jacob Eisenstein