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Stages can be linked together into language processing pipelines

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that process text and create interpretation graphs.  See Pipelines

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and Pipeline Configuration for more details.

Text Block Readers

Readers read text streams and create text blocks to process.

Tokenizers

Tokenizers read text blocks and divide them up into individual tokens to be processed.

Splitters

Splitters split up tokens into multiple smaller tokens as an alternative interpretation.

  • CharacterSplitter - Tokens are split when any in a specified set of characters (typically punctuation) is encountered.

Normalizers

Normalizers create alternative normalized interpretations of tokens from original tokens.

  • CaseAnalysis - Analyzes and flags the case of tokens and then (optionally) normalizes the token to lower case.

Recognizers

Recognizers identify and flag tokens based on their character patterns.

  • NumberRecognizer - Identifies tokens which look like numbers and flags them with the "NUMBER" flag.

Taggers

Taggers create semantic tags which are added to the interpretation graph as alternative interpretations.

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Built-in Stages


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Built-in Stages
Built-in Stages


Add-on Stages


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Add-on Stages
Add-on Stages

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