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Operates On:  Lexical Items with TOKEN flagand possibly other flags as specified below.

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{
 "type":"RegexPattern",
 "patterns":"regex-provider:patterns",
 "maxLength": 25,
 "caseInsensitive": true
}

Example Output

In the following example, "What's your name" is in the dictionary as a regex for self-name, and there are also regex for numbers "[0-9]+" and "[0-9]+\\.[0-9]+" :

 V--------------------------------------[What's your name 12 @#$ 25 63.3]---------------------------------------V  
  ^-----[What's]-----V--[your]--V--[name]--V-----[12]-----V--[@#$]--V-----[25]-----V-----------[63.3]------------^  
  ^--[What]--V--[s]--^                     ^--[{number}]--^         ^--[{number}]--^-----[63]-----V-----[3]------^  
  ^-----[what's]-----^                                                             ^---------[{number}]----------^  
  ^--[what]--^                                                                     ^--[{number}]--^--[{number}]--^  
  ^-------------[{self-name}]--------------^                                       

Output Flags

Lex-Item Flags:

• SEMANTIC_TAG - Identifies all lexical items that are semantic tags.PROCESSED - Placed on all tokens composing the semantic tag.

Vertex Flags:

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• Parameter
  summary Identifies the entity by unique ID. This identifier must be unique across all entries (across all dictionaries). name id required true

  • Typically, this identifier has meaning to the larger application that is using the Language Processing ToolkitSaga.

• Parameter
  summary The list of semantic tags to add to the interpretation graph whenever any of the patterns are matched. name tags type string array required true

  • These will all be added to the interpretation graph with the SEMANTIC_TAG flag.

• Parameter
  summary A list of patterns to match in the content. name patterns type string array required true

• Parameter
  summary Indicates whether or not the partialmatch partial match will create a regex tag even if a full match was not met. default false name splitMatch type boolean

• Parameter
  summary Specifies the confidence level of the entity, independent of any patterns matched. name confidence type double

  
  
  • This is the confidence of the entry, in comparison to all of the other entries. Essentially, the likelihood that this entry will be randomly encountered.

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