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Given an utterance the spellcheck corrects each token based on a frequency dictionary. It is language agnostic that means it works with any language as soon as a frequency dictionary is provided. The approach is based on the Peter Norvig's blog post on the spell check (see:
https://norvig.com/spell-correct.html )
Updated
Jan 1, 2021
Python
A classical scenario in machine learning from Russell and Norvig "Artificial Intelliegence A Modern Approach Third Edition"
Updated
May 17, 2021
Java
Norvig's implementation of the General Problem Solver
Replicated google search engine using Lucene and Norvig Spell Correction program
A Python Implementation of the General Problem Solver
Simple project for auto correction of words engine using Naive Bayes as an algorithm in modeling.
Updated
Aug 15, 2020
Jupyter Notebook
An Elixir implementation of Peter Norvig's Sudoku solver.
Updated
Mar 30, 2017
Elixir
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