Selection Mechanism
Explore the various selection mechanisms used in spellcheckers to choose the most accurate word correction from candidate lists. Understand the differences between probability-based, rule-based, ranking, and machine learning approaches, and learn to implement a function to select the best candidate in a spellchecker system.
What is a selection mechanism?
In a spellchecker, the selection mechanism refers to the process by which the most suitable correction is chosen from a list of candidate corrections for a misspelled word. This essentially is the final step in determining the correction that is presented to the user. In our spellchecker, this can be represented by argmax.
The specific selection mechanism a spellchecker employs can vary depending on the approach used. Here are a few common selection mechanisms as well as where they can be used:
Probability-based selection: This approach involves calculating probabilities or scores for each candidate ...