# N-grams & probability

Subject: Natural Language Processing

Exam: TEE

Reader: https://deep-learning-study-room.vercel.app/nlp/#tee/formulas/f-counts

Canonical: https://deep-learning-study-room.vercel.app/read/nlp/tee/formulas-chapter/f-counts/

Formulas explained through full worked examples

1. [Unigrams, bigrams and trigrams: construct them correctly](https://deep-learning-study-room.vercel.app/read/nlp/tee/formulas/f-counts--n-grams-construction/)
2. [Unigram estimation and complete worked examples](https://deep-learning-study-room.vercel.app/read/nlp/tee/formulas/f-counts--unigram-estimation/)
3. [Bigram counts: build the table before multiplying](https://deep-learning-study-room.vercel.app/read/nlp/tee/formulas/f-counts--bigram-count-table/)
4. [Trigram estimates: two-word history, not two denominators](https://deep-learning-study-room.vercel.app/read/nlp/tee/formulas/f-counts--trigram-estimation/)