# NLP foundations: language, tasks and the processing pipeline

Subject: Natural Language Processing

Exam: TEE

Reader: https://deep-learning-study-room.vercel.app/nlp/#tee/read/u1-introduction

Canonical: https://deep-learning-study-room.vercel.app/read/nlp/tee/read-chapter/u1-introduction/

TEE · Unit 1 full

1. [What natural language processing actually does](https://deep-learning-study-room.vercel.app/read/nlp/tee/read/u1-introduction--u1-nlp/)
2. [Building blocks and levels of linguistic analysis](https://deep-learning-study-room.vercel.app/read/nlp/tee/read/u1-introduction--u1-language/)
3. [Rule-based, statistical and deep-learning approaches](https://deep-learning-study-room.vercel.app/read/nlp/tee/read/u1-introduction--u1-approaches/)
4. [NLU versus NLG, explained through one assistant](https://deep-learning-study-room.vercel.app/read/nlp/tee/read/u1-introduction--u1-nlu-nlg/)
5. [Generic NLP pipeline, evaluation and deployment](https://deep-learning-study-room.vercel.app/read/nlp/tee/read/u1-introduction--u1-pipeline/)
6. [Ambiguity and other challenges with precise examples](https://deep-learning-study-room.vercel.app/read/nlp/tee/read/u1-introduction--u1-challenges/)