Core reading (free)
Speech and Language Processing (3rd ed. online manuscript) — the best all-in-one reference for CL/NLP (tokenization → tagging → parsing → semantics →...
Core reading (free)
Speech and Language Processing (3rd ed. online manuscript) — the best all-in-one reference for CL/NLP (tokenization → tagging → parsing → semantics → ML).
Natural Language Processing with Python (NLTK Book) — very practical for corpus work + classic NLP pipelines.
NLTK Book Chapter 6 (Text Classification + Naive Bayes) — beginner-friendly + directly usable in Colab.
Video / interactive courses (free)
Stanford CS224n lecture series (playlist linked from the course page) — deep learning for NLP, very clear lectures.
**Hugging Face course — Transformers, datasets, tokenizers, practical workflows.
spaCy interactive course — strong for real-world NLP pipelines and rule+ML hybrids.
