Uses of Interface
org.tribuo.util.tokens.Tokenizer

Packages that use Tokenizer

Package	Description
org.tribuo.classification.explanations.lime	Provides an implementation of LIME (Locally Interpretable Model Explanations).
org.tribuo.data.text.impl	Provides implementations of text data processors.
org.tribuo.util.tokens	Core definitions for tokenization.
org.tribuo.util.tokens.impl	Simple fixed rule tokenizers.
org.tribuo.util.tokens.impl.wordpiece	Provides an implementation of a Wordpiece tokenizer which implements to the Tribuo Tokenizer API.
org.tribuo.util.tokens.options	OLCUT Options implementations which can construct Tokenizers of various types.
org.tribuo.util.tokens.universal	An implementation of a "universal" tokenizer which will split on word boundaries or character boundaries for languages where word boundaries are contextual.

Uses of Tokenizer in org.tribuo.classification.explanations.lime

Constructors in org.tribuo.classification.explanations.lime with parameters of type Tokenizer

Modifier	Constructor	Description
	LIMEColumnar(SplittableRandom rng, Model<Label> innerModel, SparseTrainer<Regressor> explanationTrainer, int numSamples, RowProcessor<Label> exampleGenerator, Tokenizer tokenizer)	Constructs a LIME explainer for a model which uses the columnar data processing system.
	LIMEText(SplittableRandom rng, Model<Label> innerModel, SparseTrainer<Regressor> explanationTrainer, int numSamples, TextFeatureExtractor<Label> extractor, Tokenizer tokenizer)	Constructs a LIME explainer for a model which uses text data.

Uses of Tokenizer in org.tribuo.data.text.impl

Constructors in org.tribuo.data.text.impl with parameters of type Tokenizer

Modifier	Constructor	Description
	BasicPipeline(Tokenizer tokenizer, int ngram)	Constructs a basic text pipeline which tokenizes the input and generates word n-gram features in the range 1 to ngram.
	NgramProcessor(Tokenizer tokenizer, int n, double value)	Creates a processor that will generate token ngrams of size n.
	TokenPipeline(Tokenizer tokenizer, int ngram, boolean termCounting)	Creates a new token pipeline.
	TokenPipeline(Tokenizer tokenizer, int ngram, boolean termCounting, int dimension)	Creates a new token pipeline.

Uses of Tokenizer in org.tribuo.util.tokens

Methods in org.tribuo.util.tokens that return Tokenizer

Modifier and Type	Method	Description
Tokenizer	Tokenizer.clone()	Clones a tokenizer with it's configuration.

Methods in org.tribuo.util.tokens that return types with arguments of type Tokenizer

Modifier and Type	Method	Description
static Supplier<Tokenizer>	Tokenizer.createSupplier(Tokenizer tokenizer)	Creates a supplier from the specified tokenizer by cloning it.
static ThreadLocal<Tokenizer>	Tokenizer.createThreadLocal(Tokenizer tokenizer)	Creates a thread local source of tokenizers by making a Tokenizer supplier using createSupplier(Tokenizer).

Methods in org.tribuo.util.tokens with parameters of type Tokenizer

Modifier and Type	Method	Description
static Supplier<Tokenizer>	Tokenizer.createSupplier(Tokenizer tokenizer)	Creates a supplier from the specified tokenizer by cloning it.
static ThreadLocal<Tokenizer>	Tokenizer.createThreadLocal(Tokenizer tokenizer)	Creates a thread local source of tokenizers by making a Tokenizer supplier using createSupplier(Tokenizer).

Uses of Tokenizer in org.tribuo.util.tokens.impl

Classes in org.tribuo.util.tokens.impl that implement Tokenizer

Modifier and Type	Class	Description
class	BreakIteratorTokenizer	A tokenizer wrapping a BreakIterator instance.
class	NonTokenizer	A convenience class for when you are required to provide a tokenizer but you don't actually want to split up the text into tokens.
class	ShapeTokenizer	This tokenizer is loosely based on the notion of word shape which is a common feature used in NLP.
class	SplitCharactersTokenizer	This implementation of Tokenizer is instantiated with an array of characters that are considered split characters.
class	SplitFunctionTokenizer	This class supports character-by-character (that is, codepoint-by-codepoint) iteration over input text to create tokens.
class	SplitPatternTokenizer	This implementation of Tokenizer is instantiated with a regular expression pattern which determines how to split a string into tokens.
class	WhitespaceTokenizer	A simple tokenizer that splits on whitespace.

Methods in org.tribuo.util.tokens.impl that return Tokenizer

Modifier and Type	Method	Description
Tokenizer	SplitFunctionTokenizer.clone()

Uses of Tokenizer in org.tribuo.util.tokens.impl.wordpiece

Classes in org.tribuo.util.tokens.impl.wordpiece that implement Tokenizer

Modifier and Type	Class	Description
class	WordpieceBasicTokenizer	This is a tokenizer that is used "upstream" of WordpieceTokenizer and implements much of the functionality of the 'BasicTokenizer' implementation in huggingface.
class	WordpieceTokenizer	This Tokenizer is meant to be a reasonable approximation of the BertTokenizer defined here.

Constructors in org.tribuo.util.tokens.impl.wordpiece with parameters of type Tokenizer

Modifier	Constructor	Description
	WordpieceTokenizer(Wordpiece wordpiece, Tokenizer tokenizer, boolean toLowerCase, boolean stripAccents, Set<String> neverSplit)	Constructs a wordpiece tokenizer.

Uses of Tokenizer in org.tribuo.util.tokens.options

Methods in org.tribuo.util.tokens.options that return Tokenizer

Modifier and Type	Method	Description
Tokenizer	BreakIteratorTokenizerOptions.getTokenizer()
Tokenizer	CoreTokenizerOptions.getTokenizer()
Tokenizer	SplitCharactersTokenizerOptions.getTokenizer()
Tokenizer	SplitPatternTokenizerOptions.getTokenizer()
Tokenizer	TokenizerOptions.getTokenizer()	Creates the appropriately configured tokenizer.

Uses of Tokenizer in org.tribuo.util.tokens.universal

Classes in org.tribuo.util.tokens.universal that implement Tokenizer

Modifier and Type	Class	Description
class	UniversalTokenizer	This class was originally written for the purpose of document indexing in an information retrieval context (principally used in Sun Labs' Minion search engine).

Methods in org.tribuo.util.tokens.universal that return Tokenizer

Modifier and Type	Method	Description
Tokenizer	UniversalTokenizer.clone()