Machine Learning-Based Spellchecker

Weaknesses of traditional spellcheckers

Both the Norvig and SymSpell spellcheckers provide tremendous speed and very good accuracy. However, they are primarily limited by the dictionary they are using, and human-coded heuristics and rules are used to find similar words. The models are inherently not designed to learn and adapt. In the last few years, several new machine learning-based methods have been developed to face these challenges. Here are some expansions to our spellchecker that machine learning can provide:

Advantages of ML-based spellcheckers

1. Contextual understanding: Machine learning-based spell correctors have the ability to capture and utilize ...