free / reliable resources you can share with the class (great for corpus-building + POS tagging + parsing + text classification in Colab):

free / reliable resources you can share with the class (great for corpus-building + POS tagging + parsing + text classification in Colab):

par HSU08 DANG THUY HOANG ANH,
Core reading (free) Speech and Language Processing (3rd ed. online manuscript) — the best all-in-one reference for CL/NLP (tokenization → tagging → parsing → semantics →...

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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.