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Configuration

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• Parameter
  summary explanationList of tags to be ignored by the recognizer name Ignore Tags type string array

• Parameter
  summary Replace characters such as "á, ö, ç" with their normalize forms "a, o, c" default unchecked name Remove Accents & Diacritics type boolean

• Parameter
  summary Replace the characters specified with white space default unchecked name Remove Characters type boolean

  • Parameter
    summary Will only be used if Remove Characters is checked default _-‿⁀⁔︳︴﹍﹎﹏＿ name Characters to remove

• Parameter
  summary Activate matching based on Total Match. default false name Tag Only If Total Match type boolean

  • Parameter
    summary Optional threshold to match based on coverage of text matched. default 1.0 name Total Match Threshold type double

• Parameter
  summary Activates spellchecking to recognize entities misspelled. default unchecked name Use Spellchecking type boolean

  • Parameter
    summary Similarity score for misspelled texts. default 0.7 name Spellchecking score threshold type double required true

  • Parameter
    summary Maximum number of suggestions for the misspelled element. default 5 name Max of Suggestions type integer required true

  • Parameter
    summary The spellchecking algorithm to use. default Levenshtein name Spellchecking Algorithm required true

    • The available algorithms are:

Adding a Entity

By clicking in the Image Removed which will popup the Add new Entity dialog

• • • • Levenshtein - The Levenshtein distance between two words is the minimum number of single-character edits (insertions, deletions or substitutions) required to change one word into the other.
      • JaroWinkler - The Jaro–Winkler distance is a string metric measuring an edit distance between two sequences. The lower the Jaro–Winkler distance for two strings is, the more similar the strings are.
      • LuceneLevenshtein - The same Levenshtein algorithm but using Lucene.
      • nGram - n-gram is a contiguous sequence of n items from a given sample of text or speech. The items can be phonemes, syllables, letters, words or base pairs according to the application.
      • Soundex - Soundex is a phonetic algorithm for indexing names by sound, as pronounced in English. The goal is for homophones to be encoded to the same representation so that they can be matched despite minor differences in spelling.

• Parameter
  summary Cosine factor for accepting entities. default 0.7 name Vector Cosine Similarity Acceptance type double

• Parameter
  summary Internal tokenizer of the recognizer default Latin-script Alphabet name Language Tokenizer

  • The available tokenizers are:
    • Latin-script alphabet
    • Korean
    • Japanese
    • Chinese

Adding a Entity

Click on the Image Added button which will popup the "Add new Entity" dialog

• Parameter
  summary Patterns to look for name Patterns type string array required true

• Parameter
  summary ID assign to the set of patterns default autogenerated name ID required true

  • Normally use to match the ID in a database or a key for an API

• Parameter
  summary Display use for normalization name Display required true

• Parameter
  summary Adjustment factor to apply to the confidence value of 0.0 to 2.0 from (Applies for every pattern match). default 1 name Confidence Adjustment type double required true

  • 0.0 to < 1.0  decreases confidence value
  • 1.0 confidence value remains the same
  • > 1.0 to  2.0 increases confidence value
• The final space is for more custom configurations.

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General Settings