Grooper 21.00.0082 is available as of 12-12-2023! Check the  Downloads Discussion  for the release notes and to get the latest version.
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Request for Examples and Details on Natural Language Processing (NLP)

Are there more examples of the natural language processing concept within Grooper?  I have used FuzzyRegEx and zones for extraction where values are near features.  In one scenario we have a list of names and need to minimize false-positive identifications.  Using a Lexicon with Fuzzy matching helps, but it would improve if we could find ways to help Grooper understand the context around the match to make sure it is not embedded in other characters (part of longer words) or identifies multiple words based on length matching.  We do not always have situations where we can identify features or anchor words within the flow.  

In general, I find the concept of NLP difficult to explain and differentiate from flow or pattern matching.  Anyone else have thoughts or ideas? 

Answers

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