- get(long) - Method in class edu.berkeley.nlp.lm.array.CustomWidthArray
-
- get(long, int, int) - Method in class edu.berkeley.nlp.lm.array.CustomWidthArray
-
- get(long) - Method in class edu.berkeley.nlp.lm.array.LongArray
-
- get(int) - Method in class edu.berkeley.nlp.lm.bits.BitList
-
- get(int) - Method in class edu.berkeley.nlp.lm.collections.BoundedList
-
Returns the object at the given index, provided the index is between 0
(inclusive) and size() (exclusive).
- get(long) - Method in class edu.berkeley.nlp.lm.collections.LongHashSet
-
- get(long, int) - Method in class edu.berkeley.nlp.lm.collections.LongToIntHashMap
-
- get(T, int) - Method in class edu.berkeley.nlp.lm.collections.TIntMap
-
- get(int[], int, int) - Method in class edu.berkeley.nlp.lm.map.CompressedNgramMap
-
- get(int[], int, int) - Method in class edu.berkeley.nlp.lm.map.HashNgramMap
-
- get(int[], int, int) - Method in interface edu.berkeley.nlp.lm.map.NgramMap
-
- get(Object) - Method in class edu.berkeley.nlp.lm.map.NgramMapWrapper
-
- get(Object) - Method in class edu.berkeley.nlp.lm.map.NgramsForOrderMapWrapper
-
- getBackoff(int, long) - Method in class edu.berkeley.nlp.lm.values.CompressibleProbBackoffValueContainer
-
- getBackoff(CustomWidthArray, long) - Method in class edu.berkeley.nlp.lm.values.CompressibleProbBackoffValueContainer
-
- getBackoff(int, long) - Method in interface edu.berkeley.nlp.lm.values.ProbBackoffValueContainer
-
- getBackoff(int, long) - Method in class edu.berkeley.nlp.lm.values.UncompressedProbBackoffValueContainer
-
- getBackoff(CustomWidthArray, long) - Method in class edu.berkeley.nlp.lm.values.UncompressedProbBackoffValueContainer
-
- getBackoff(int, long) - Method in class edu.berkeley.nlp.lm.values.UnrankedUncompressedProbBackoffValueContainer
-
- getBigramTypeCounts() - Method in class edu.berkeley.nlp.lm.values.KneserNeyCountValueContainer
-
- getBit(long) - Method in class edu.berkeley.nlp.lm.array.CustomWidthArray
-
- getCached(int[], int, int, int) - Method in class edu.berkeley.nlp.lm.cache.ArrayEncodedDirectMappedLmCache
-
- getCached(int[], int, int, int) - Method in interface edu.berkeley.nlp.lm.cache.ArrayEncodedLmCache
-
Should return Float.NaN if the requested n-gram is not in the cache
- getCached(long, int, int, int, ContextEncodedNgramLanguageModel.LmContextInfo) - Method in class edu.berkeley.nlp.lm.cache.ContextEncodedDirectMappedLmCache
-
- getCached(long, int, int, int, ContextEncodedNgramLanguageModel.LmContextInfo) - Method in interface edu.berkeley.nlp.lm.cache.ContextEncodedLmCache
-
Should return Float.NaN if requested n-gram is not in the cache.
- getCharEncoding() - Static method in class edu.berkeley.nlp.lm.io.IOUtils
-
- getCompressed(long, int) - Method in class edu.berkeley.nlp.lm.values.CompressibleProbBackoffValueContainer
-
- getCompressed(long, int) - Method in interface edu.berkeley.nlp.lm.values.CompressibleValueContainer
-
Compresses the value at the given offset into a list of bits.
- getCount(E) - Method in class edu.berkeley.nlp.lm.collections.Counter
-
Get the count of the element, or zero if the element is not in the
counter.
- getCount(int, long) - Method in class edu.berkeley.nlp.lm.values.CountValueContainer
-
- getCountRank(long) - Method in class edu.berkeley.nlp.lm.values.CompressibleProbBackoffValueContainer
-
- getCountRank(long) - Method in class edu.berkeley.nlp.lm.values.CountValueContainer
-
- getCountRank(long) - Method in class edu.berkeley.nlp.lm.values.UncompressedProbBackoffValueContainer
-
- getDefaultCount() - Method in class edu.berkeley.nlp.lm.collections.Counter
-
- getDefaultVal() - Method in class edu.berkeley.nlp.lm.values.CompressibleProbBackoffValueContainer
-
- getDefaultVal() - Method in class edu.berkeley.nlp.lm.values.CountValueContainer
-
- getDefaultVal() - Method in class edu.berkeley.nlp.lm.values.UncompressedProbBackoffValueContainer
-
- getDiscountForOrder(int) - Method in class edu.berkeley.nlp.lm.io.KneserNeyLmReaderCallback
-
- getDistributionOverNextWords(NgramLanguageModel<W>, List<W>) - Static method in class edu.berkeley.nlp.lm.NgramLanguageModel.StaticMethods
-
Builds a distribution over next possible words given the context.
- getEndSymbol() - Method in class edu.berkeley.nlp.lm.StringWordIndexer
-
- getEndSymbol() - Method in interface edu.berkeley.nlp.lm.WordIndexer
-
Returns the start symbol (usually something like </s>
- getEntriesSortedByDecreasingCount() - Method in class edu.berkeley.nlp.lm.collections.Counter
-
- getEntriesSortedByIncreasingCount() - Method in class edu.berkeley.nlp.lm.collections.Counter
-
- getEntrySet() - Method in class edu.berkeley.nlp.lm.collections.Counter
-
- getFailures() - Method in class edu.berkeley.nlp.lm.io.NgramMapAddingCallback
-
- getFirst() - Method in class edu.berkeley.nlp.lm.util.Pair
-
- getFirstWordForOffset(long, int) - Method in class edu.berkeley.nlp.lm.map.HashNgramMap
-
- getFromOffset(long, int, PhraseTableValueContainer.PhraseTableValues) - Method in class edu.berkeley.nlp.lm.phrasetable.PhraseTableValueContainer
-
- getFromOffset(long, int, ProbBackoffPair) - Method in class edu.berkeley.nlp.lm.values.CompressibleProbBackoffValueContainer
-
- getFromOffset(long, int, LongRef) - Method in class edu.berkeley.nlp.lm.values.CountValueContainer
-
- getFromOffset(long, int, KneserNeyCountValueContainer.KneserNeyCounts) - Method in class edu.berkeley.nlp.lm.values.KneserNeyCountValueContainer
-
- getFromOffset(long, int, ProbBackoffPair) - Method in class edu.berkeley.nlp.lm.values.UncompressedProbBackoffValueContainer
-
- getFromOffset(long, int, ProbBackoffPair) - Method in class edu.berkeley.nlp.lm.values.UnrankedUncompressedProbBackoffValueContainer
-
- getFromOffset(long, int, V) - Method in interface edu.berkeley.nlp.lm.values.ValueContainer
-
Gets the value living at a particular offset.
- getFromRank(long, ProbBackoffPair) - Method in class edu.berkeley.nlp.lm.values.CompressibleProbBackoffValueContainer
-
- getFromRank(long, LongRef) - Method in class edu.berkeley.nlp.lm.values.CountValueContainer
-
- getFromRank(long, ProbBackoffPair) - Method in class edu.berkeley.nlp.lm.values.UncompressedProbBackoffValueContainer
-
- getFullWidth() - Method in class edu.berkeley.nlp.lm.array.CustomWidthArray
-
- getGlobalLogger() - Static method in class edu.berkeley.nlp.lm.util.Logger
-
- getHighestOrderProb(int[], int, int) - Method in class edu.berkeley.nlp.lm.io.KneserNeyLmReaderCallback
-
- getHighInt(long) - Static method in class edu.berkeley.nlp.lm.bits.BitUtils
-
- getIndex(E) - Method in class edu.berkeley.nlp.lm.collections.Indexer
-
Return the index of the element If doesn't exist, add it.
- getIndexPossiblyUnk(String) - Method in class edu.berkeley.nlp.lm.StringWordIndexer
-
- getIndexPossiblyUnk(W) - Method in interface edu.berkeley.nlp.lm.WordIndexer
-
Should never add to vocabulary, and should return getUnkSymbol() if the
word is not in the vocabulary.
- getInternalVal(int, long) - Method in class edu.berkeley.nlp.lm.values.CompressibleProbBackoffValueContainer
-
- getInternalVal(int, long) - Method in class edu.berkeley.nlp.lm.values.UncompressedProbBackoffValueContainer
-
- getKey() - Method in class edu.berkeley.nlp.lm.collections.LongToIntHashMap.Entry
-
- getKey() - Method in class edu.berkeley.nlp.lm.collections.TIntMap.Entry
-
- getKeyWidth() - Method in class edu.berkeley.nlp.lm.array.CustomWidthArray
-
- getLastWordForOffset(long, int) - Method in class edu.berkeley.nlp.lm.map.HashNgramMap
-
- getLmOrder() - Method in class edu.berkeley.nlp.lm.AbstractNgramLanguageModel
-
- getLmOrder() - Method in class edu.berkeley.nlp.lm.io.GoogleLmReader
-
- getLmOrder() - Method in class edu.berkeley.nlp.lm.io.KneserNeyLmReaderCallback
-
- getLmOrder() - Method in interface edu.berkeley.nlp.lm.NgramLanguageModel
-
Maximum size of n-grams stored by the model.
- getLogProb(List<W>) - Method in class edu.berkeley.nlp.lm.AbstractArrayEncodedNgramLanguageModel
-
- getLogProb(int[]) - Method in class edu.berkeley.nlp.lm.AbstractArrayEncodedNgramLanguageModel
-
- getLogProb(int[], int, int) - Method in class edu.berkeley.nlp.lm.AbstractArrayEncodedNgramLanguageModel
-
- getLogProb(List<W>) - Method in class edu.berkeley.nlp.lm.AbstractContextEncodedNgramLanguageModel
-
- getLogProb(long, int, int, ContextEncodedNgramLanguageModel.LmContextInfo) - Method in class edu.berkeley.nlp.lm.AbstractContextEncodedNgramLanguageModel
-
- getLogProb(int[], ArrayEncodedNgramLanguageModel<T>) - Static method in class edu.berkeley.nlp.lm.ArrayEncodedNgramLanguageModel.DefaultImplementations
-
- getLogProb(List<T>, ArrayEncodedNgramLanguageModel<T>) - Static method in class edu.berkeley.nlp.lm.ArrayEncodedNgramLanguageModel.DefaultImplementations
-
- getLogProb(int[], int, int) - Method in interface edu.berkeley.nlp.lm.ArrayEncodedNgramLanguageModel
-
Calculate language model score of an n-gram.
- getLogProb(int[]) - Method in interface edu.berkeley.nlp.lm.ArrayEncodedNgramLanguageModel
-
Equivalent to getLogProb(ngram, 0, ngram.length)
- getLogProb(int[], int, int) - Method in class edu.berkeley.nlp.lm.ArrayEncodedProbBackoffLm
-
- getLogProb(int[]) - Method in class edu.berkeley.nlp.lm.ArrayEncodedProbBackoffLm
-
- getLogProb(List<W>) - Method in class edu.berkeley.nlp.lm.ArrayEncodedProbBackoffLm
-
- getLogProb(int[], int, int) - Method in class edu.berkeley.nlp.lm.cache.ArrayEncodedCachingLmWrapper
-
- getLogProb(long, int, int, ContextEncodedNgramLanguageModel.LmContextInfo) - Method in class edu.berkeley.nlp.lm.cache.ContextEncodedCachingLmWrapper
-
- getLogProb(List<T>, ContextEncodedNgramLanguageModel<T>) - Static method in class edu.berkeley.nlp.lm.ContextEncodedNgramLanguageModel.DefaultImplementations
-
- getLogProb(long, int, int, ContextEncodedNgramLanguageModel.LmContextInfo) - Method in interface edu.berkeley.nlp.lm.ContextEncodedNgramLanguageModel
-
Get the score for an n-gram, and also get the context offset of the
n-gram's suffix.
- getLogProb(long, int, int, ContextEncodedNgramLanguageModel.LmContextInfo) - Method in class edu.berkeley.nlp.lm.ContextEncodedProbBackoffLm
-
- getLogProb(List<W>) - Method in class edu.berkeley.nlp.lm.io.KneserNeyLmReaderCallback
-
- getLogProb(int[], int, int) - Method in class edu.berkeley.nlp.lm.io.KneserNeyLmReaderCallback
-
- getLogProb(int[]) - Method in class edu.berkeley.nlp.lm.io.KneserNeyLmReaderCallback
-
- getLogProb(List<W>) - Method in interface edu.berkeley.nlp.lm.NgramLanguageModel
-
Scores an n-gram.
- getLogProb(int[], int, int) - Method in class edu.berkeley.nlp.lm.StupidBackoffLm
-
- getLogProb(int[]) - Method in class edu.berkeley.nlp.lm.StupidBackoffLm
-
- getLogProb(List<W>) - Method in class edu.berkeley.nlp.lm.StupidBackoffLm
-
- getLowerOrderBackoff(int[], int, int) - Method in class edu.berkeley.nlp.lm.io.KneserNeyLmReaderCallback
-
- getLowerOrderProb(int[], int, int) - Method in class edu.berkeley.nlp.lm.io.KneserNeyLmReaderCallback
-
- getLowInt(long) - Static method in class edu.berkeley.nlp.lm.bits.BitUtils
-
- getLowLong(long) - Static method in class edu.berkeley.nlp.lm.bits.BitUtils
-
- getMap() - Method in class edu.berkeley.nlp.lm.phrasetable.MosesPhraseTableReaderCallback
-
- getMapForOrder(int) - Method in class edu.berkeley.nlp.lm.map.NgramMapWrapper
-
- getMaxNgramOrder() - Method in class edu.berkeley.nlp.lm.map.CompressedNgramMap
-
- getMaxNgramOrder() - Method in class edu.berkeley.nlp.lm.map.HashNgramMap
-
- getMaxNgramOrder() - Method in interface edu.berkeley.nlp.lm.map.NgramMap
-
- getNextContextOffset(long, int) - Method in class edu.berkeley.nlp.lm.map.HashNgramMap
-
- getNextWord(long, int) - Method in class edu.berkeley.nlp.lm.map.HashNgramMap
-
- getNgramForOffset(long, int, int) - Method in class edu.berkeley.nlp.lm.AbstractContextEncodedNgramLanguageModel
-
- getNgramForOffset(long, int, int) - Method in class edu.berkeley.nlp.lm.cache.ContextEncodedCachingLmWrapper
-
- getNgramForOffset(long, int, int) - Method in interface edu.berkeley.nlp.lm.ContextEncodedNgramLanguageModel
-
Gets the n-gram referred to by a context-encoding.
- getNgramForOffset(long, int, int) - Method in class edu.berkeley.nlp.lm.ContextEncodedProbBackoffLm
-
- getNgramForOffset(long, int) - Method in class edu.berkeley.nlp.lm.map.HashNgramMap
-
- getNgramForOffset(long, int, int[]) - Method in class edu.berkeley.nlp.lm.map.HashNgramMap
-
- getNgramFromContextEncoding(long, int, int) - Method in interface edu.berkeley.nlp.lm.map.ContextEncodedNgramMap
-
- getNgramFromContextEncoding(long, int, int) - Method in class edu.berkeley.nlp.lm.map.HashNgramMap
-
- getNgramMap() - Method in class edu.berkeley.nlp.lm.ArrayEncodedProbBackoffLm
-
- getNgramMap() - Method in class edu.berkeley.nlp.lm.ContextEncodedProbBackoffLm
-
- getNgramMap() - Method in class edu.berkeley.nlp.lm.map.NgramMapWrapper
-
- getNgramMap() - Method in class edu.berkeley.nlp.lm.StupidBackoffLm
-
- getNgramOffsetsForOrder(int) - Method in class edu.berkeley.nlp.lm.map.HashNgramMap
-
- getNgramsForOrder(int) - Method in class edu.berkeley.nlp.lm.map.CompressedNgramMap
-
- getNgramsForOrder(int) - Method in class edu.berkeley.nlp.lm.map.HashNgramMap
-
- getNgramsForOrder(int) - Method in interface edu.berkeley.nlp.lm.map.NgramMap
-
- getNumNgrams(int) - Method in class edu.berkeley.nlp.lm.map.CompressedNgramMap
-
- getNumNgrams(int) - Method in class edu.berkeley.nlp.lm.map.HashNgramMap
-
- getNumNgrams(int) - Method in interface edu.berkeley.nlp.lm.map.NgramMap
-
- getNumNgramsForEachOrder() - Method in class edu.berkeley.nlp.lm.io.FirstPassCallback
-
- getNumNgramsForEachWord() - Method in class edu.berkeley.nlp.lm.io.FirstPassCallback
-
- getNumOneCountNgrams(int) - Method in class edu.berkeley.nlp.lm.values.KneserNeyCountValueContainer
-
- getNumTwoCountNgrams(int) - Method in class edu.berkeley.nlp.lm.values.KneserNeyCountValueContainer
-
- getObject(int) - Method in class edu.berkeley.nlp.lm.collections.Indexer
-
- getObjects() - Method in class edu.berkeley.nlp.lm.collections.Indexer
-
- getObjectsSortedByValue(boolean) - Method in class edu.berkeley.nlp.lm.collections.LongToIntHashMap
-
- getOffset(long, int, int) - Method in interface edu.berkeley.nlp.lm.map.ContextEncodedNgramMap
-
- getOffset(long, int, int) - Method in class edu.berkeley.nlp.lm.map.HashNgramMap
-
- getOffsetForNgram(int[], int, int) - Method in class edu.berkeley.nlp.lm.AbstractContextEncodedNgramLanguageModel
-
- getOffsetForNgram(int[], int, int) - Method in class edu.berkeley.nlp.lm.cache.ContextEncodedCachingLmWrapper
-
- getOffsetForNgram(int[], int, int) - Method in interface edu.berkeley.nlp.lm.ContextEncodedNgramLanguageModel
-
Gets the offset which refers to an n-gram.
- getOffsetForNgram(int[], int, int) - Method in class edu.berkeley.nlp.lm.ContextEncodedProbBackoffLm
-
- getOffsetForNgram(int[], int, int) - Method in interface edu.berkeley.nlp.lm.map.ContextEncodedNgramMap
-
- getOffsetForNgram(int[], int, int) - Method in class edu.berkeley.nlp.lm.map.HashNgramMap
-
- getOffsetForNgramInModel(int[], int, int) - Method in class edu.berkeley.nlp.lm.map.HashNgramMap
-
- getOrAddIndex(String) - Method in class edu.berkeley.nlp.lm.StringWordIndexer
-
- getOrAddIndex(W) - Method in interface edu.berkeley.nlp.lm.WordIndexer
-
Gets the index for a word, adding if necessary.
- getOrAddIndexFromString(String) - Method in class edu.berkeley.nlp.lm.StringWordIndexer
-
- getOrAddIndexFromString(String) - Method in interface edu.berkeley.nlp.lm.WordIndexer
-
- getPrefixOffset(long, int) - Method in class edu.berkeley.nlp.lm.map.HashNgramMap
-
Gets the offset of the context for an n-gram (represented by offset)
- getProb(int, long) - Method in class edu.berkeley.nlp.lm.values.CompressibleProbBackoffValueContainer
-
- getProb(CustomWidthArray, long) - Method in class edu.berkeley.nlp.lm.values.CompressibleProbBackoffValueContainer
-
- getProb(int, long) - Method in interface edu.berkeley.nlp.lm.values.ProbBackoffValueContainer
-
- getProb(int, long) - Method in class edu.berkeley.nlp.lm.values.UncompressedProbBackoffValueContainer
-
- getProb(CustomWidthArray, long) - Method in class edu.berkeley.nlp.lm.values.UncompressedProbBackoffValueContainer
-
- getProb(int, long) - Method in class edu.berkeley.nlp.lm.values.UnrankedUncompressedProbBackoffValueContainer
-
- getProbability(E) - Method in class edu.berkeley.nlp.lm.collections.Counter
-
I know, I know, this should be wrapped in a Distribution class, but it's
such a common use...why not.
- getRawCount(int[], int, int) - Method in class edu.berkeley.nlp.lm.StupidBackoffLm
-
Gets the raw count of an n-gram.
- getReader(InputStream) - Static method in class edu.berkeley.nlp.lm.io.IOUtils
-
- getScratchValue() - Method in class edu.berkeley.nlp.lm.phrasetable.PhraseTableValueContainer
-
- getScratchValue() - Method in class edu.berkeley.nlp.lm.values.CompressibleProbBackoffValueContainer
-
- getScratchValue() - Method in class edu.berkeley.nlp.lm.values.CountValueContainer
-
- getScratchValue() - Method in class edu.berkeley.nlp.lm.values.KneserNeyCountValueContainer
-
- getScratchValue() - Method in interface edu.berkeley.nlp.lm.values.ProbBackoffValueContainer
-
- getScratchValue() - Method in class edu.berkeley.nlp.lm.values.UncompressedProbBackoffValueContainer
-
- getScratchValue() - Method in class edu.berkeley.nlp.lm.values.UnrankedUncompressedProbBackoffValueContainer
-
- getScratchValue() - Method in interface edu.berkeley.nlp.lm.values.ValueContainer
-
Creates a fresh value of object (useful for passing as an output
parameter)
- getSecond() - Method in class edu.berkeley.nlp.lm.util.Pair
-
- getSeparatorWord() - Method in class edu.berkeley.nlp.lm.phrasetable.PhraseTableValueContainer
-
- getStartSymbol() - Method in class edu.berkeley.nlp.lm.StringWordIndexer
-
- getStartSymbol() - Method in interface edu.berkeley.nlp.lm.WordIndexer
-
Returns the start symbol (usually something like <s>
- getSubArray(int[], int, int) - Static method in class edu.berkeley.nlp.lm.map.AbstractNgramMap
-
- getSuffixOffset(long, int) - Method in interface edu.berkeley.nlp.lm.values.ProbBackoffValueContainer
-
- getSuffixOffset(long, int) - Method in class edu.berkeley.nlp.lm.values.UnrankedUncompressedProbBackoffValueContainer
-
- getSure(T) - Method in class edu.berkeley.nlp.lm.collections.TIntMap
-
- getTotalSize() - Method in class edu.berkeley.nlp.lm.io.KneserNeyLmReaderCallback
-
- getTotalSize() - Method in class edu.berkeley.nlp.lm.map.HashNgramMap
-
- getTranslations(int[], int, int) - Method in class edu.berkeley.nlp.lm.phrasetable.MosesPhraseTable
-
- getUnigramSum() - Method in class edu.berkeley.nlp.lm.values.CountValueContainer
-
- getUnkSymbol() - Method in class edu.berkeley.nlp.lm.StringWordIndexer
-
- getUnkSymbol() - Method in interface edu.berkeley.nlp.lm.WordIndexer
-
Returns the unk symbol (usually something like <unk>
- getValue() - Method in class edu.berkeley.nlp.lm.collections.LongToIntHashMap.Entry
-
- getValue() - Method in class edu.berkeley.nlp.lm.collections.TIntMap.Entry
-
- getValueAndOffset(long, int, int, T) - Method in class edu.berkeley.nlp.lm.map.CompressedNgramMap
-
- getValueAndOffset(long, int, int, T) - Method in class edu.berkeley.nlp.lm.map.HashNgramMap
-
- getValueAndOffset(long, int, int, V) - Method in interface edu.berkeley.nlp.lm.map.NgramMap
-
- getValueCounter() - Method in class edu.berkeley.nlp.lm.io.FirstPassCallback
-
- getValues() - Method in class edu.berkeley.nlp.lm.map.AbstractNgramMap
-
- getValues() - Method in interface edu.berkeley.nlp.lm.map.NgramMap
-
- getValueStoringArray(int) - Method in class edu.berkeley.nlp.lm.map.CompressedNgramMap
-
- getValueStoringArray(int) - Method in class edu.berkeley.nlp.lm.map.HashNgramMap
-
- getValueStoringArray(int) - Method in interface edu.berkeley.nlp.lm.map.NgramMap
-
- getWord(int) - Method in class edu.berkeley.nlp.lm.StringWordIndexer
-
- getWord(int) - Method in interface edu.berkeley.nlp.lm.WordIndexer
-
Gets the word object for an index.
- getWordIndexer() - Method in class edu.berkeley.nlp.lm.AbstractNgramLanguageModel
-
- getWordIndexer() - Method in class edu.berkeley.nlp.lm.cache.ContextEncodedCachingLmWrapper
-
- getWordIndexer() - Method in class edu.berkeley.nlp.lm.io.KneserNeyLmReaderCallback
-
- getWordIndexer() - Method in class edu.berkeley.nlp.lm.map.NgramMapWrapper
-
- getWordIndexer() - Method in interface edu.berkeley.nlp.lm.NgramLanguageModel
-
Each LM must have a WordIndexer which assigns integer IDs to each word W
in the language.
- getWordIndexer() - Method in class edu.berkeley.nlp.lm.phrasetable.MosesPhraseTable
-
- getWriter(OutputStream) - Static method in class edu.berkeley.nlp.lm.io.IOUtils
-
- GoogleLmReader<W> - Class in edu.berkeley.nlp.lm.io
-
Reads in n-gram count collections in the format that the Google n-grams Web1T
corpus comes in.
- GoogleLmReader(String, WordIndexer<W>, ConfigOptions) - Constructor for class edu.berkeley.nlp.lm.io.GoogleLmReader
-
- growFactor - Static variable in class edu.berkeley.nlp.lm.collections.AbstractTMap
-
- gut() - Method in class edu.berkeley.nlp.lm.collections.TIntMap
-
- sample(Random) - Method in class edu.berkeley.nlp.lm.collections.Counter
-
Will return a sample from the counter, will throw exception if any of the
counts are < 0.0 or if the totalCount() <= 0.0
- sample() - Method in class edu.berkeley.nlp.lm.collections.Counter
-
Will return a sample from the counter, will throw exception if any of the
counts are < 0.0 or if the totalCount() <= 0.0
- sample(Random, NgramLanguageModel<W>) - Static method in class edu.berkeley.nlp.lm.NgramLanguageModel.StaticMethods
-
Samples from this language model.
- sample(Random, NgramLanguageModel<W>, double) - Static method in class edu.berkeley.nlp.lm.NgramLanguageModel.StaticMethods
-
- scale(double) - Method in class edu.berkeley.nlp.lm.collections.Counter
-
- scale(T, int) - Method in class edu.berkeley.nlp.lm.collections.TIntMap
-
- scaledClone(double) - Method in class edu.berkeley.nlp.lm.collections.Counter
-
- scoreSentence(List<W>) - Method in class edu.berkeley.nlp.lm.AbstractArrayEncodedNgramLanguageModel
-
- scoreSentence(List<W>) - Method in class edu.berkeley.nlp.lm.AbstractContextEncodedNgramLanguageModel
-
- scoreSentence(List<T>, ArrayEncodedNgramLanguageModel<T>) - Static method in class edu.berkeley.nlp.lm.ArrayEncodedNgramLanguageModel.DefaultImplementations
-
- scoreSentence(List<T>, ContextEncodedNgramLanguageModel<T>) - Static method in class edu.berkeley.nlp.lm.ContextEncodedNgramLanguageModel.DefaultImplementations
-
- scoreSentence(List<W>) - Method in class edu.berkeley.nlp.lm.io.KneserNeyLmReaderCallback
-
- scoreSentence(List<W>) - Method in interface edu.berkeley.nlp.lm.NgramLanguageModel
-
Scores a complete sentence, taking appropriate care with the start- and
end-of-sentence symbols.
- serialVersionUID - Static variable in class edu.berkeley.nlp.lm.collections.AbstractTMap
-
- serialVersionUID - Static variable in class edu.berkeley.nlp.lm.collections.TIntMap
-
- serialVersionUID - Static variable in class edu.berkeley.nlp.lm.io.KneserNeyLmReaderCallback
-
- set(long, long) - Method in class edu.berkeley.nlp.lm.array.CustomWidthArray
-
- set(long, long, int, int) - Method in class edu.berkeley.nlp.lm.array.CustomWidthArray
-
- set(long, long) - Method in class edu.berkeley.nlp.lm.array.LongArray
-
- setAllCounts(double) - Method in class edu.berkeley.nlp.lm.collections.Counter
-
Sets all counts to the given value, but does not remove any keys
- setAndGrowIfNeeded(long, long) - Method in class edu.berkeley.nlp.lm.array.CustomWidthArray
-
- setAndGrowIfNeeded(long, long, int, int) - Method in class edu.berkeley.nlp.lm.array.CustomWidthArray
-
- setAndGrowIfNeeded(long, long) - Method in class edu.berkeley.nlp.lm.array.LongArray
-
- setAndGrowIfNeededFill(long, long) - Method in class edu.berkeley.nlp.lm.array.LongArray
-
- setCharEncoding(String) - Static method in class edu.berkeley.nlp.lm.io.IOUtils
-
- setCount(E, double) - Method in class edu.berkeley.nlp.lm.collections.Counter
-
Set the count for the given key, clobbering any previous count.
- setDefaultCount(double) - Method in class edu.berkeley.nlp.lm.collections.Counter
-
- setDirty(boolean) - Method in class edu.berkeley.nlp.lm.collections.Counter
-
- setEndSymbol(String) - Method in class edu.berkeley.nlp.lm.StringWordIndexer
-
- setEndSymbol(W) - Method in interface edu.berkeley.nlp.lm.WordIndexer
-
- setFromOtherValues(ValueContainer<PhraseTableValueContainer.PhraseTableValues>) - Method in class edu.berkeley.nlp.lm.phrasetable.PhraseTableValueContainer
-
- setFromOtherValues(ValueContainer<ProbBackoffPair>) - Method in class edu.berkeley.nlp.lm.values.CompressibleProbBackoffValueContainer
-
- setFromOtherValues(ValueContainer<LongRef>) - Method in class edu.berkeley.nlp.lm.values.CountValueContainer
-
- setFromOtherValues(ValueContainer<KneserNeyCountValueContainer.KneserNeyCounts>) - Method in class edu.berkeley.nlp.lm.values.KneserNeyCountValueContainer
-
- setFromOtherValues(ValueContainer<ProbBackoffPair>) - Method in class edu.berkeley.nlp.lm.values.UncompressedProbBackoffValueContainer
-
- setFromOtherValues(ValueContainer<ProbBackoffPair>) - Method in class edu.berkeley.nlp.lm.values.UnrankedUncompressedProbBackoffValueContainer
-
- setFromOtherValues(ValueContainer<V>) - Method in interface edu.berkeley.nlp.lm.values.ValueContainer
-
Destructively sets internal storage from another object.
- setGlobalLogger(Logger.LogInterface) - Static method in class edu.berkeley.nlp.lm.util.Logger
-
- setHighInt(long, int) - Static method in class edu.berkeley.nlp.lm.bits.BitUtils
-
- setLoadFactor(double) - Method in class edu.berkeley.nlp.lm.collections.LongHashSet
-
- setLoadFactor(double) - Method in class edu.berkeley.nlp.lm.collections.LongToIntHashMap
-
- setLogger(Logger.LogInterface) - Static method in class edu.berkeley.nlp.lm.util.Logger
-
- setLowInt(long, int) - Static method in class edu.berkeley.nlp.lm.bits.BitUtils
-
- setMap(NgramMap<PhraseTableValueContainer.PhraseTableValues>) - Method in class edu.berkeley.nlp.lm.phrasetable.PhraseTableValueContainer
-
- setMap(NgramMap<KneserNeyCountValueContainer.KneserNeyCounts>) - Method in class edu.berkeley.nlp.lm.values.KneserNeyCountValueContainer
-
- setMap(NgramMap<ProbBackoffPair>) - Method in class edu.berkeley.nlp.lm.values.UnrankedUncompressedProbBackoffValueContainer
-
- setMap(NgramMap<V>) - Method in interface edu.berkeley.nlp.lm.values.ValueContainer
-
Initializes a value container with the map that contains it
- setMaxCount(E, double) - Method in class edu.berkeley.nlp.lm.collections.Counter
-
Set's the key's count to the maximum of the current count and val.
- setMinCount(E, double) - Method in class edu.berkeley.nlp.lm.collections.Counter
-
Set's the key's count to the minimum of the current count and val.
- setOovWordLogProb(float) - Method in class edu.berkeley.nlp.lm.AbstractNgramLanguageModel
-
- setOovWordLogProb(float) - Method in class edu.berkeley.nlp.lm.io.KneserNeyLmReaderCallback
-
- setOovWordLogProb(float) - Method in interface edu.berkeley.nlp.lm.NgramLanguageModel
-
Sets the (log) probability for an OOV word.
- setSizeAtLeast(long, int) - Method in class edu.berkeley.nlp.lm.phrasetable.PhraseTableValueContainer
-
- setSizeAtLeast(long, int) - Method in class edu.berkeley.nlp.lm.values.KneserNeyCountValueContainer
-
- setSizeAtLeast(long, int) - Method in class edu.berkeley.nlp.lm.values.UnrankedUncompressedProbBackoffValueContainer
-
- setSizeAtLeast(long, int) - Method in interface edu.berkeley.nlp.lm.values.ValueContainer
-
Sets internal storage for size for a particular n-gram order
- setStartSymbol(String) - Method in class edu.berkeley.nlp.lm.StringWordIndexer
-
- setStartSymbol(W) - Method in interface edu.berkeley.nlp.lm.WordIndexer
-
- setUnkSymbol(String) - Method in class edu.berkeley.nlp.lm.StringWordIndexer
-
- setUnkSymbol(W) - Method in interface edu.berkeley.nlp.lm.WordIndexer
-
- setValue(Integer) - Method in class edu.berkeley.nlp.lm.collections.LongToIntHashMap.Entry
-
- setValue(int) - Method in class edu.berkeley.nlp.lm.collections.TIntMap.Entry
-
- shift(long, long, int) - Method in class edu.berkeley.nlp.lm.array.LongArray
-
- size() - Method in class edu.berkeley.nlp.lm.array.CustomWidthArray
-
- size() - Method in class edu.berkeley.nlp.lm.array.LongArray
-
- size() - Method in class edu.berkeley.nlp.lm.bits.BitList
-
- size() - Method in class edu.berkeley.nlp.lm.collections.BoundedList
-
- size() - Method in class edu.berkeley.nlp.lm.collections.Counter
-
The number of entries in the counter (not the total count -- use
totalCount() instead).
- size() - Method in class edu.berkeley.nlp.lm.collections.Indexer
-
Returns the number of objects indexed.
- size() - Method in class edu.berkeley.nlp.lm.collections.LongHashSet
-
- size() - Method in class edu.berkeley.nlp.lm.collections.LongToIntHashMap
-
- size() - Method in class edu.berkeley.nlp.lm.collections.TIntMap.EntrySet
-
- size() - Method in class edu.berkeley.nlp.lm.collections.TIntMap.KeySet
-
- size() - Method in class edu.berkeley.nlp.lm.collections.TIntMap
-
- size() - Method in class edu.berkeley.nlp.lm.collections.TIntMap.ValueCollection
-
- size() - Method in class edu.berkeley.nlp.lm.map.NgramIterableWrapper
-
- size() - Method in class edu.berkeley.nlp.lm.map.NgramsForOrderIterableWrapper
-
- sort(LongArray, long, long, int) - Method in class edu.berkeley.nlp.lm.map.CompressedNgramMap
-
- START_SYMBOL - Static variable in class edu.berkeley.nlp.lm.io.ArpaLmReader
-
- startIndex - Variable in class edu.berkeley.nlp.lm.io.KneserNeyLmReaderCallback
-
- startTrack(String) - Method in class edu.berkeley.nlp.lm.util.Logger.CompoundLogger
-
- startTrack(String) - Method in interface edu.berkeley.nlp.lm.util.Logger.LogInterface
-
Start a track (a function, or some other logical unit of computation)
with a name given by s
.
- startTrack(String) - Method in class edu.berkeley.nlp.lm.util.Logger.NullLogger
-
- startTrack(String, Object...) - Static method in class edu.berkeley.nlp.lm.util.Logger
-
- startTrack(String) - Method in class edu.berkeley.nlp.lm.util.Logger.SystemLogger
-
- StaticMethods() - Constructor for class edu.berkeley.nlp.lm.array.LongArray.StaticMethods
-
- StaticMethods() - Constructor for class edu.berkeley.nlp.lm.NgramLanguageModel.StaticMethods
-
- StaticMethods() - Constructor for class edu.berkeley.nlp.lm.WordIndexer.StaticMethods
-
- storeRankedProbBackoffs - Variable in class edu.berkeley.nlp.lm.ConfigOptions
-
- storeSuffixoffsets() - Method in class edu.berkeley.nlp.lm.phrasetable.PhraseTableValueContainer
-
- storeSuffixoffsets() - Method in class edu.berkeley.nlp.lm.values.KneserNeyCountValueContainer
-
- storeSuffixoffsets() - Method in class edu.berkeley.nlp.lm.values.UnrankedUncompressedProbBackoffValueContainer
-
- storeSuffixoffsets() - Method in interface edu.berkeley.nlp.lm.values.ValueContainer
-
- StringWordIndexer - Class in edu.berkeley.nlp.lm
-
Implementation of a WordIndexer in which words are represented as strings.
- StringWordIndexer() - Constructor for class edu.berkeley.nlp.lm.StringWordIndexer
-
- StrUtils - Class in edu.berkeley.nlp.lm.util
-
- StrUtils() - Constructor for class edu.berkeley.nlp.lm.util.StrUtils
-
- stupidBackoffAlpha - Variable in class edu.berkeley.nlp.lm.ConfigOptions
-
- StupidBackoffLm<W> - Class in edu.berkeley.nlp.lm
-
Language model implementation which uses stupid backoff (Brants et al., 2007)
computation.
- StupidBackoffLm(int, WordIndexer<W>, NgramMap<LongRef>, ConfigOptions) - Constructor for class edu.berkeley.nlp.lm.StupidBackoffLm
-
- subList(int, int) - Method in class edu.berkeley.nlp.lm.collections.BoundedList
-
- SUFFIX_BIT_MASK - Variable in class edu.berkeley.nlp.lm.map.AbstractNgramMap
-
- sum() - Method in class edu.berkeley.nlp.lm.collections.TIntMap
-
- swap(long, long, LongArray, int) - Method in class edu.berkeley.nlp.lm.map.CompressedNgramMap
-
- swap(LongArray, long, long) - Method in class edu.berkeley.nlp.lm.map.CompressedNgramMap
-
- swap(long, long, int) - Method in interface edu.berkeley.nlp.lm.values.CompressibleValueContainer
-
Swaps values at offsets a and b.
- switchToHashTable() - Method in class edu.berkeley.nlp.lm.collections.TIntMap
-
- switchToSortedList() - Method in class edu.berkeley.nlp.lm.collections.TIntMap
-
- SystemLogger(PrintStream, PrintStream) - Constructor for class edu.berkeley.nlp.lm.util.Logger.SystemLogger
-
- SystemLogger(String, String) - Constructor for class edu.berkeley.nlp.lm.util.Logger.SystemLogger
-
- SystemLogger() - Constructor for class edu.berkeley.nlp.lm.util.Logger.SystemLogger
-