Jazzy is a set of APIs that allow you to add spell checking functionality to Java Applications easily.
For a misspelled word, Jazzy can provide with some corrected words for selection.
For a misspelled word, Jazzy can provide with some corrected words for selection.
Additional task is to judge which word
is better. We have two schemes to do that: 1. Edit distance; 2. Input frequency
or context. Context information is based on Jazzy dictionary. However, for some
specific search engine, common dictionary is not enough. For example, we should
add some merchant brand names into the dictionary for Amazon's search engine.
There are still two problems here:
- How do we customize our own dictionary? How do we confirm the validity of the data source for building the dictionary?
- How do you balance the results of edit distance and context?
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