class LMInteriorLevelWordList


Public Methods

[more]LMInteriorLevelWordEntry* findWord( int word )
Internal function

Public Members

[more] Creates the list.
[more] levels in the tree-like n-gram data structures.
[more] Adds a language model probability.
[more] Adds a language model backoff weight.
[more] of the entry that is being added, and 'words' contains the
[more] vocabulary indices of the words in the n-gram.
[more] of 'words' should be eg.
[more] Calculates a language model probability for a particular word
[more] sequence with backoff.
[more] in the word sequence, and 'words' contains the vocabulary
[more] indices of the words.
[more] eg.
[more] "most-recent" word.
[more] indicating that the value of prob contains only an
[more] accumulated backoff weight.


Documentation

o Creates the list.
Creates the list. Instances of this object are used at different

o levels in the tree-like n-gram data structures.
levels in the tree-like n-gram data structures.

o Adds a language model probability.
Adds a language model probability. 'order' denotes the order

o Adds a language model backoff weight.
Adds a language model backoff weight. 'order' denotes the order

o of the entry that is being added, and 'words' contains the
of the entry that is being added, and 'words' contains theof the entry that is being added, and 'words' contains the

o vocabulary indices of the words in the n-gram.
vocabulary indices of the words in the n-gram. The orderingvocabulary indices of the words in the n-gram. The ordering

o of 'words' should be eg.
of 'words' should be eg. W4,W3,W2,W1 when 'order' is 4 andof 'words' should be eg. W3,W2,W1,W4 when 'order' is 4 and

o Calculates a language model probability for a particular word
Calculates a language model probability for a particular word

o sequence with backoff.
sequence with backoff. 'order' denotes the number of words

o in the word sequence, and 'words' contains the vocabulary
in the word sequence, and 'words' contains the vocabulary

o indices of the words.
indices of the words. The ordering of 'words' should be

o eg.
eg. W3,W2,W1,W4 when 'order' is 4 and where W4 is the

o "most-recent" word.
"most-recent" word. Returns false if no entry was found,

o indicating that the value of prob contains only an
indicating that the value of prob contains only an

o accumulated backoff weight.
accumulated backoff weight. Returns true if a valid

oLMInteriorLevelWordEntry* findWord( int word )
Internal function


This class has no child classes.

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