Matching and filtering data sets

Matching and filtering may apply to the text content of tokens, or to their associated morphological analyses.

You can work with morphological analyses by:

• matching and filtering on lexeme identifiers
• matching and filtering on morphological properties
• matching and filtering on functional labels, a higher-order construct derived from morphological properties

Background ideas

• Token sequences can Boolean matching on individual tokens to filter sets of tokens. Example: extract all verb forms from a LatinCorpus (an implementation of the LatinParsedTokenSequence trait).
• Sequence collections can use Boolean matching on token sequences to filter sequences of tokens. Example: in a ParsedSequenceCollection made up of a series of LatinSentences (an implementation of the LatinParsedTokenSequence trait), identify all sentences including verbs in the subjunctive mood, or all sentences using any form a specified lexeme.

Matching and filtering

Use the following links for more details.

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Table of contents

• Matching textual contents
• Matching and filtering morphological properties
• Matching and filtering: citable forms and function strings