public interface ArrayEncodedNgramLanguageModel<W> extends NgramLanguageModel<W>
W in the vocabulary, and the mapping from the vocabulary to
integers is managed by an instance of the WordIndexer class.| Modifier and Type | Interface and Description |
|---|---|
static class |
ArrayEncodedNgramLanguageModel.DefaultImplementations |
NgramLanguageModel.StaticMethods| Modifier and Type | Method and Description |
|---|---|
float |
getLogProb(int[] ngram)
Equivalent to
getLogProb(ngram, 0, ngram.length) |
float |
getLogProb(int[] ngram,
int startPos,
int endPos)
Calculate language model score of an n-gram.
|
getLmOrder, getLogProb, getWordIndexer, scoreSentence, setOovWordLogProbfloat getLogProb(int[] ngram,
int startPos,
int endPos)
getLmOrder(),
this call will silently ignore the extra words of context. In other
words, if you pass in a 5-gram (endPos-startPos == 5) to
a 3-gram model, it will only score the words from startPos + 2
to endPos.ngram - array of words in integer representationstartPos - start of the portion of the array to be readendPos - end of the portion of the array to be read.float getLogProb(int[] ngram)
getLogProb(ngram, 0, ngram.length)getLogProb(int[], int, int)