Uses of Package
com.aliasi.lm

Packages that use com.aliasi.lm

Package	Description
com.aliasi.chunk	Classes for extracting meaningful chunks (spans) of text.
com.aliasi.classify	Classes for classifying data and evaluation.
com.aliasi.hmm	Classes for estimating and decoding hidden Markov models.
com.aliasi.lm	Classes for character- and token-based language models.
com.aliasi.spell	Classes for spelling correction and edit distance.
com.aliasi.test.unit.lm

Classes in com.aliasi.lm used by com.aliasi.chunk

Class and Description
LanguageModel.Process A LanguageModel.Process is normalized by length.
LanguageModel.Sequence A LanguageModel.Sequence is normalized over all character sequences.

Classes in com.aliasi.lm used by com.aliasi.classify

Class and Description
LanguageModel A LanguageModel provides an estimate of the probability of a sequence of characters.
LanguageModel.Dynamic A LanguageModel.Dynamic accepts training events in the form of character slices or sequences.
NGramBoundaryLM An NGramBoundaryLM provides a dynamic sequence language model for which training, estimation and pruning may be interleaved.
NGramProcessLM An NGramProcessLM provides a dynamic conditional process language model process for which training, estimation, and pruning may be interleaved.
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.

Classes in com.aliasi.lm used by com.aliasi.hmm

Class and Description
NGramBoundaryLM An NGramBoundaryLM provides a dynamic sequence language model for which training, estimation and pruning may be interleaved.

Classes in com.aliasi.lm used by com.aliasi.lm

Class and Description
CharSeqCounter A CharSeqCounter counter provides counts for sequences of characters.
IntSeqCounter An IntSeqCounter provides counts for sequences of integers.
LanguageModel A LanguageModel provides an estimate of the probability of a sequence of characters.
LanguageModel.Conditional A LanguageModel.Conditional is a language model that implements conditional estimates of characters given previous characters.
LanguageModel.Dynamic A LanguageModel.Dynamic accepts training events in the form of character slices or sequences.
LanguageModel.Process A LanguageModel.Process is normalized by length.
LanguageModel.Sequence A LanguageModel.Sequence is normalized over all character sequences.
LanguageModel.Tokenized A LanguageModel.Tokenized provides a means of estimating the probability of a sequence of tokens.
NGramBoundaryLM An NGramBoundaryLM provides a dynamic sequence language model for which training, estimation and pruning may be interleaved.
NGramProcessLM An NGramProcessLM provides a dynamic conditional process language model process for which training, estimation, and pruning may be interleaved.
TrieCharSeqCounter A TrieCharSeqCounter stores counts for substrings of strings.
TrieIntSeqCounter An TrieIntSeqCounter implements an integer sequence counter with a trie structure of counts.
TrieReader The TrieReader interface provides a means to read a trie structure with counts.
TrieWriter The TrieWriter interface provides a means to write an arbitrary trie structure with positive node counts.
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.

Classes in com.aliasi.lm used by com.aliasi.spell

Class and Description
CompiledNGramProcessLM A CompiledNGramProcessLM implements a conditional process language model.
NGramProcessLM An NGramProcessLM provides a dynamic conditional process language model process for which training, estimation, and pruning may be interleaved.

Classes in com.aliasi.lm used by com.aliasi.test.unit.lm

Class and Description
CompiledNGramBoundaryLM A CompiledNGramBoundaryLM is constructed by reading the serialized form of an instance of NGramBoundaryLM.
LanguageModel.Conditional A LanguageModel.Conditional is a language model that implements conditional estimates of characters given previous characters.
LanguageModel.Dynamic A LanguageModel.Dynamic accepts training events in the form of character slices or sequences.
NGramBoundaryLM An NGramBoundaryLM provides a dynamic sequence language model for which training, estimation and pruning may be interleaved.
NGramProcessLM An NGramProcessLM provides a dynamic conditional process language model process for which training, estimation, and pruning may be interleaved.
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.
TrieCharSeqCounter A TrieCharSeqCounter stores counts for substrings of strings.
TrieReader The TrieReader interface provides a means to read a trie structure with counts.