Uses of Interface
com.aliasi.lm.LanguageModel

Packages that use LanguageModel

Package	Description
com.aliasi.classify	Classes for classifying data and evaluation.
com.aliasi.lm	Classes for character- and token-based language models.

Uses of LanguageModel in com.aliasi.classify

Classes in com.aliasi.classify with type parameters of type LanguageModel

Modifier and Type	Class and Description
class	LMClassifier<L extends LanguageModel,M extends MultivariateDistribution> An LMClassifier performs joint probability-based classification of character sequences into non-overlapping categories based on language models for each category and a multivariate distribution over categories.

Constructors in com.aliasi.classify with parameters of type LanguageModel

Constructor and Description
LMClassifier(String[] categories, L[] languageModels, M categoryDistribution) Construct a joint classifier for character sequences classifying over a specified set of categories, with a multivariate distribution over those categories and a language model per category.

Uses of LanguageModel in com.aliasi.lm

Subinterfaces of LanguageModel in com.aliasi.lm

Modifier and Type	Interface and Description
static interface	LanguageModel.Conditional A LanguageModel.Conditional is a language model that implements conditional estimates of characters given previous characters.
static interface	LanguageModel.Dynamic A LanguageModel.Dynamic accepts training events in the form of character slices or sequences.
static interface	LanguageModel.Process A LanguageModel.Process is normalized by length.
static interface	LanguageModel.Sequence A LanguageModel.Sequence is normalized over all character sequences.
static interface	LanguageModel.Tokenized A LanguageModel.Tokenized provides a means of estimating the probability of a sequence of tokens.

Classes in com.aliasi.lm that implement LanguageModel

Modifier and Type	Class and Description
class	CompiledNGramBoundaryLM A CompiledNGramBoundaryLM is constructed by reading the serialized form of an instance of NGramBoundaryLM.
class	CompiledNGramProcessLM A CompiledNGramProcessLM implements a conditional process language model.
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	NGramProcessLM An NGramProcessLM provides a dynamic conditional process language model process 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.
class	UniformProcessLM A UniformLM.Sequence implements a uniform sequence language model with a specified number of outcomes and the same probability assigned to the end-of-stream marker.