# Top-down and bottom-up parsing: complete traces

Subject: Natural Language Processing

Exam: TEE

Reader: https://deep-learning-study-room.vercel.app/nlp/#tee/read/m2-parsing

Canonical: https://deep-learning-study-room.vercel.app/read/nlp/tee/read-chapter/m2-parsing/

Unit 4, pages 98–116

1. [Recursive-descent top-down parsing](https://deep-learning-study-room.vercel.app/read/nlp/tee/read/m2-parsing--top-down-theory/)
2. [Three full top-down derivations with parse trees](https://deep-learning-study-room.vercel.app/read/nlp/tee/read/m2-parsing--top-down-examples/)
3. [Shift-reduce bottom-up parsing: stack, input and actions](https://deep-learning-study-room.vercel.app/read/nlp/tee/read/m2-parsing--shift-reduce-theory/)
4. [Three full shift-reduce traces](https://deep-learning-study-room.vercel.app/read/nlp/tee/read/m2-parsing--shift-reduce-examples/)