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## Uses of Interface
cc.mallet.extract.Tokenization

Packages that use Tokenization
cc.mallet.extract | Unimplemented.
cc.mallet.grmm.learning.extract |

Uses of Tokenization in cc.mallet.extract

Classes in cc.mallet.extract that implement Tokenization
`class` | `StringTokenization`

Methods in cc.mallet.extract that return Tokenization
`Tokenization` | `DocumentExtraction.getInput()`

Methods in cc.mallet.extract with parameters of type Tokenization
`LabeledSpans` | `BIOTokenizationFilter.constructLabeledSpans(LabelAlphabet dict, java.lang.Object document, Label backgroundTag, Tokenization input, Sequence seq)`
`LabeledSpans` | `HierarchicalTokenizationFilter.constructLabeledSpans(LabelAlphabet dict, java.lang.Object document, Label backgroundTag, Tokenization input, Sequence seq)`
`LabeledSpans` | `TokenizationFilter.constructLabeledSpans(LabelAlphabet dict, java.lang.Object document, Label backgroundTag, Tokenization input, Sequence seq)` Converts a the sequence of labels into a set of labeled spans.
`LabeledSpans` | `ConfidenceTokenizationFilter.constructLabeledSpans(LabelAlphabet dict, java.lang.Object document, Label backgroundTag, Tokenization input, Sequence seq)`
`LabeledSpans` | `DefaultTokenizationFilter.constructLabeledSpans(LabelAlphabet dict, java.lang.Object document, Label backgroundTag, Tokenization input, Sequence seq)`
`protected Span` | `BIOTokenizationFilter.createSpan(Tokenization input, int startTokenIdx, int endTokenIdx)`
`protected Span` | `BIOTokenizationFilterWithTokenIndices.createSpan(Tokenization input, int startTokenIdx, int endTokenIdx)`
`Extraction` | `CRFExtractor.extract(Tokenization spans)`
`Extraction` | `Extractor.extract(Tokenization toks)` Performs extraction from an object that has been already been tokenized.

Constructors in cc.mallet.extract with parameters of type Tokenization
`DocumentExtraction(java.lang.String name, LabelAlphabet dict, Tokenization input, LabeledSpans predictedSpans, LabeledSpans trueSpans, java.lang.String background)`
`DocumentExtraction(java.lang.String name, LabelAlphabet dict, Tokenization input, Sequence predicted, Sequence target, java.lang.String background)`
`DocumentExtraction(java.lang.String name, LabelAlphabet dict, Tokenization input, Sequence predicted, Sequence target, java.lang.String background, TokenizationFilter filter)`
`DocumentExtraction(java.lang.String name, LabelAlphabet dict, Tokenization input, Sequence predicted, java.lang.String background)`
`Extraction(Extractor extractor, LabelAlphabet dict, java.lang.String name, Tokenization input, Sequence output, java.lang.String background)` Creates an extration given a sequence output by some kind of per-sequece labeler, like an HMM or a CRF.

Uses of Tokenization in cc.mallet.grmm.learning.extract

Methods in cc.mallet.grmm.learning.extract with parameters of type Tokenization
`Extraction` | `ACRFExtractor.extract(Tokenization toks)`

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