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Auto correct model is made using the words text file. Initally pre-processing is done, followed by the counting the words and each word probabilities.

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IshtyM/Mini-Auto-Correct-Model

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Mini-Auto-Correct-Model

Autocorrection, also known as text replacement, replace-as-you-type or simply autocorrect, is an automatic data validation function commonly found in word processors and text editing interfaces for smartphones and tablet computers. Auto Correct Model is the key feature of every app and web application. Here, auto correct model is made using the words text file. Initally pre-processing is done, followed by the counting the words and each word probabilities. The word having the maximum probability will be shows and the minimum edit distance. It includes four steps, delete, insert, sswitch and replace. Editing one letter is finnally used at the end for prediction although, the two edit distance and minimum edit distance is also explained here.

Libraries Used:

Pandas, Numpy, collections

Programing Language

Python

IDE Used

Jupyter Notebook

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Auto correct model is made using the words text file. Initally pre-processing is done, followed by the counting the words and each word probabilities.

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