Uses of Interface
com.aliasi.lm.LanguageModel.Sequence

Packages that use LanguageModel.Sequence

Package	Description
com.aliasi.chunk	Classes for extracting meaningful chunks (spans) of text.
com.aliasi.lm	Classes for character- and token-based language models.

Uses of LanguageModel.Sequence in com.aliasi.chunk

Classes in com.aliasi.chunk with type parameters of type LanguageModel.Sequence

Modifier and Type	Class and Description
class	AbstractCharLmRescoringChunker<B extends NBestChunker,O extends LanguageModel.Process,C extends LanguageModel.Sequence> An AbstractCharLmRescoringChunker provides the basic character language-model rescoring model used by the trainable CharLmRescoringChunker and its compiled version.

Uses of LanguageModel.Sequence in com.aliasi.lm

Classes in com.aliasi.lm that implement LanguageModel.Sequence

Modifier and Type	Class and Description
class	CompiledNGramBoundaryLM A CompiledNGramBoundaryLM is constructed by reading the serialized form of an instance of NGramBoundaryLM.
class	CompiledTokenizedLM A CompiledTokenizedLM implements a tokenized bounded sequence language model.
class	NGramBoundaryLM An NGramBoundaryLM provides a dynamic sequence language model for which training, estimation and pruning may be interleaved.
class	TokenizedLM A TokenizedLM provides a dynamic sequence language model which models token sequences with an n-gram model, and whitespace and unknown tokens with their own sequence language models.
class	UniformBoundaryLM A UniformBoundaryLM implements a uniform sequence language model with a specified number of outcomes and the same probability assigned to the end-of-stream marker.

Methods in com.aliasi.lm that return LanguageModel.Sequence

Modifier and Type	Method and Description
LanguageModel.Sequence	TokenizedLM.unknownTokenLM() Returns the unknown token seqeunce language model for this tokenized language model.
LanguageModel.Sequence	TokenizedLM.whitespaceLM() Returns the whitespace language model for this tokenized language model.

Constructors in com.aliasi.lm with parameters of type LanguageModel.Sequence

Constructor and Description
TokenizedLM(TokenizerFactory tokenizerFactory, int nGramOrder, LanguageModel.Sequence unknownTokenModel, LanguageModel.Sequence whitespaceModel, double lambdaFactor) Construct a tokenized language model with the specified tokenization factory and n-gram order, sequence models for unknown tokens and whitespace, and an interpolation hyperparameter.
TokenizedLM(TokenizerFactory tokenizerFactory, int nGramOrder, LanguageModel.Sequence unknownTokenModel, LanguageModel.Sequence whitespaceModel, double lambdaFactor, boolean initialIncrementBoundary) Construct a tokenized language model with the specified tokenization factory and n-gram order, sequence models for unknown tokens and whitespace, and an interpolation hyperparameter, as well as a flag indicating whether to automatically increment a null input to avoid numerical problems with zero counts.