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We already have a spelling errors correction map in nlp-middleware, we simply need to enhance this to the point that we feel the majority of fat fingered entries will be caught.
Alternatively we could use a javascript hunspell port and use a dictionary. This was prototyped early using a large dictionary, the library had poor performance. We simply have to be able to process text at line speed, this may mean a smaller dictionary, or a customized dictionary with terms that are pertinent to our domain.
We already have a spelling errors correction map in nlp-middleware, we simply need to enhance this to the point that we feel the majority of fat fingered entries will be caught.
Alternatively we could use a javascript hunspell port and use a dictionary. This was prototyped early using a large dictionary, the library had poor performance. We simply have to be able to process text at line speed, this may mean a smaller dictionary, or a customized dictionary with terms that are pertinent to our domain.
Either way here is a start (http://wordlist.aspell.net/)
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