Covers: implementation of Introduction to N-gram

- How to apply Markov assumption to make a bi-gram text generation model?

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Alice Zhao

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- Objectives
- Provides background information about a type of NLP model called N-gram model.
- Potential Use Cases
- Allows users to further understand advanced/in-depth N-gram topics.
- Who is this for ?
- BEGINNERData scientists who are new to NLP

Click on each of the following **annotated items** to see details.

BOOK_CHAPTER 1. Introduction to language model

- What is a language model?

5 minutes

VIDEO 2. Chain rule of prob basic

- How to use chain rule to calculate probability of a sequence?

6 minutes

VIDEO 3. Introduction to N-gram model

- What is a N-gram model?

4 minutes

VIDEO 4. Estimate N-gram probability

- How to estimate the probability of a word in N-gram model?

10 minutes

VIDEO 5. A simple bi-gram text generation model

- How to apply Markov assumption to make a bi-gram text generation model?

17 minutes

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