# Week 6 - Autocorrect Welcome to second course and to Natural Language Processing with Probabilistic Models! Congratulations that you have made it that far! :slight\_smile: Let us start with some words on what probalistic models are. These are models that are based on the principle: "given these words what is the most likely next word". So a pretty reasonable approach :slight\_smile: In this week we learn about autocorrect, minimum edit distance, and dynamic programming. At the end we build your own spellchecker to correct misspelled words! --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/gan/week-5-autocorrect.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.