Index (predict4all 1.0.0 API)

A B C D E F G H I K L M N O P Q R S T U V W _
All Classes All Packages

A

ABBREVIATIONS - Static variable in class org.predict4all.nlp.language.french.FrenchLanguageUtils
AbstractLanguageModel - Class in org.predict4all.nlp.language
AbstractLanguageModel() - Constructor for class org.predict4all.nlp.language.AbstractLanguageModel
AbstractNGramDictionary<T extends AbstractNGramTrieNode<T>> - Class in org.predict4all.nlp.ngram.dictionary: Represent an ngram dictionary in an abstract way : dictionary can be static or dynamic.
Each type of dictionary can or can't support operation, such as dictionary saving, or updating probabilities.

The dictionary has a AbstractNGramDictionary.maxOrder that represents the max order gram that can be found in the dictionary.
AbstractNGramDictionary(T, int) - Constructor for class org.predict4all.nlp.ngram.dictionary.AbstractNGramDictionary: Construct a dictionary with a given root node and a max possible order.
AbstractNGramTrieNode<T extends AbstractNGramTrieNode<?>> - Class in org.predict4all.nlp.ngram.trie: Represent a node in a trie structure to represent ngrams.
AbstractNGramTrieNode() - Constructor for class org.predict4all.nlp.ngram.trie.AbstractNGramTrieNode
AbstractPredictionToCompute - Class in org.predict4all.nlp.prediction.model
AbstractPredictionToCompute() - Constructor for class org.predict4all.nlp.prediction.model.AbstractPredictionToCompute
AbstractRecursiveMatcher - Class in org.predict4all.nlp.parser.matcher
AbstractRecursiveMatcher(boolean, Separator, String) - Constructor for class org.predict4all.nlp.parser.matcher.AbstractRecursiveMatcher
AbstractRecursiveMatcher(boolean, Separator, String, EquivalenceClass) - Constructor for class org.predict4all.nlp.parser.matcher.AbstractRecursiveMatcher
AbstractTokenTrainingDocument - Class in org.predict4all.nlp.trainer.corpus
AbstractTokenTrainingDocument(TrainingStep, File, File) - Constructor for class org.predict4all.nlp.trainer.corpus.AbstractTokenTrainingDocument
AbstractTrainingDocument - Class in org.predict4all.nlp.trainer.corpus
AbstractTrainingDocument(TrainingStep, String, File, File) - Constructor for class org.predict4all.nlp.trainer.corpus.AbstractTrainingDocument
AbstractWord - Class in org.predict4all.nlp.words.model
AbstractWord(int) - Constructor for class org.predict4all.nlp.words.model.AbstractWord
ACCENTS - org.predict4all.nlp.words.correction.DefaultCorrectionRuleGenerator.CorrectionRuleType
ACRONYM - org.predict4all.nlp.EquivalenceClass
AcronymMatcher - Class in org.predict4all.nlp.language.french.matcher
AcronymMatcher() - Constructor for class org.predict4all.nlp.language.french.matcher.AcronymMatcher
add(T) - Method in class org.predict4all.nlp.utils.FifoSet
ADD_LETTER - org.predict4all.nlp.words.correction.DefaultCorrectionRuleGenerator.CorrectionRuleType
addAndReturnAdded(double) - Method in class org.predict4all.nlp.utils.SingleThreadDoubleAdder
addChild(CorrectionRuleNode) - Method in class org.predict4all.nlp.words.correction.model.CorrectionRuleNode
addCorrectionsFor(String, Map<BiIntegerKey, NextWord>, boolean, TIntHashSet) - Method in class org.predict4all.nlp.words.correction.WordCorrectionGenerator
addGeneralRules(List<CorrectionRuleBuilder>, PredictionParameter) - Static method in class org.predict4all.nlp.words.correction.DefaultCorrectionRuleGenerator
addPart(StringBuilder) - Method in class org.predict4all.nlp.words.correction.model.GeneratingCorrection
addSeparator(Separator) - Method in class org.predict4all.nlp.words.correction.model.GeneratingCorrection
addTo(Collection<CorrectionRuleBuilder>) - Method in class org.predict4all.nlp.words.correction.model.CorrectionRuleBuilder
addWordsToContext(Collection<String>) - Method in class org.predict4all.nlp.prediction.WordPredictor
APOSTROPHE - org.predict4all.nlp.Separator
ApostropheMatcher - Class in org.predict4all.nlp.language.french.matcher
ApostropheMatcher() - Constructor for class org.predict4all.nlp.language.french.matcher.ApostropheMatcher
append(Token) - Method in class org.predict4all.nlp.io.TokenFileOutputStream
append(Token) - Method in interface org.predict4all.nlp.parser.TokenAppender
append(Token) - Method in class org.predict4all.nlp.parser.TokenListAppender
appendCorrectionToDebugInfo(String, Pair<StringBuilder, StringBuilder>, CorrectionRule) - Method in class org.predict4all.nlp.words.correction.model.GeneratingCorrection
appendDebugInformationForCurrentPart(StringBuilder, Pair<StringBuilder, StringBuilder>, CorrectionRule) - Method in interface org.predict4all.nlp.words.correction.model.GeneratingCorrectionI
appendDebugInformationForCurrentPart(StringBuilder, Pair<StringBuilder, StringBuilder>, CorrectionRule) - Method in class org.predict4all.nlp.words.correction.model.SimpleGeneratingCorrection
appendToCurrentPart(CharSequence) - Method in interface org.predict4all.nlp.words.correction.model.GeneratingCorrectionI
appendToCurrentPart(CharSequence) - Method in class org.predict4all.nlp.words.correction.model.SimpleGeneratingCorrection
AZERTY_KEYBOARD - org.predict4all.nlp.words.correction.DefaultCorrectionRuleGenerator.CorrectionRuleType

B

BACKSLASH - org.predict4all.nlp.Separator
BaseWordDictionary - Interface in org.predict4all.nlp.language: A language specific dictionary : contains lower case words and their unigram frequencies.
BiIntegerKey - Class in org.predict4all.nlp.utils
build() - Method in class org.predict4all.nlp.parser.matcher.TokenRegexMatcher.TokenRegexMatcherBuilder
build() - Method in class org.predict4all.nlp.trainer.DataTrainerResult.Builder
BUILD_DATE - Static variable in class org.predict4all.nlp.Predict4AllInfo
buildAndAddTo(PredictionParameter, Map<CorrectionRule, CorrectionRule>) - Method in class org.predict4all.nlp.words.correction.model.CorrectionRuleBuilder
buildAndAddTo(PredictionParameter, Map<CorrectionRule, CorrectionRule>, BiConsumer<CorrectionRule, CorrectionRule>) - Method in class org.predict4all.nlp.words.correction.model.CorrectionRuleBuilder
builder() - Static method in class org.predict4all.nlp.trainer.DataTrainerResult: Creates builder to build DataTrainerResult.
buildList(PredictionParameter) - Method in class org.predict4all.nlp.words.correction.model.CorrectionRuleBuilder

C

calculateGrownCapacity() - Method in class org.predict4all.nlp.ngram.trie.map.TrieNodeMap
call() - Method in class org.predict4all.nlp.trainer.TrainerTask
capacity() - Method in class org.predict4all.nlp.ngram.trie.map.TrieNodeMap: Returns the capacity of the hash table.
capitalize(String) - Static method in class org.predict4all.nlp.utils.Predict4AllUtils
capture(String) - Method in class org.predict4all.nlp.parser.matcher.TokenRegexMatcher.TokenRegexMatcherBuilder
changeCurrentPartTo(StringBuilder) - Method in interface org.predict4all.nlp.words.correction.model.GeneratingCorrectionI
changeCurrentPartTo(StringBuilder) - Method in class org.predict4all.nlp.words.correction.model.SimpleGeneratingCorrection
checkChildrenLoading(FileChannel) - Method in class org.predict4all.nlp.ngram.trie.StaticNGramTrieNode: Check that children for this node are loaded.
If not, try to load children from the given fileChannel.
checkChildrenLoading(DynamicNGramTrieNode) - Method in class org.predict4all.nlp.ngram.dictionary.TrainingNGramDictionary
checkChildrenLoading(StaticNGramTrieNode) - Method in class org.predict4all.nlp.ngram.dictionary.StaticNGramTrieDictionary
checkChildrenLoading(T) - Method in class org.predict4all.nlp.ngram.dictionary.AbstractNGramDictionary: To check that the children of a given node are loaded into memory (and can be used)
checkNull(T, String) - Static method in class org.predict4all.nlp.utils.Predict4AllUtils: Throws a IllegalArgumentException if a given object is null
children - Variable in class org.predict4all.nlp.ngram.trie.AbstractNGramTrieNode: Represent the children node for this node.
Each child is stored by its value (= word id) and represent the possible next value.
To save memory, the map is created on demand, so even if this node has children, the map can be null if children are not loaded yet.
childrenBackoffWeight - Variable in class org.predict4all.nlp.ngram.trie.AbstractNGramTrieNode: Backoff weight for this node children frequencies
childrenPosition - Variable in class org.predict4all.nlp.ngram.trie.AbstractNGramTrieNode: Contains the children nodes position in file.
Position in a FileChannel is a long type, but to save memory the value is stored as an int (trie file never contains more than Integer.MAX_VALUE byte)
clear() - Method in class org.predict4all.nlp.ngram.trie.map.TrieNodeMap: Empties the collection.
clear() - Method in class org.predict4all.nlp.utils.FifoSet
clearContext() - Method in class org.predict4all.nlp.prediction.WordPredictor
clearNextCache() - Method in interface org.predict4all.nlp.parser.token.Token
clone() - Method in interface org.predict4all.nlp.words.correction.model.GeneratingCorrectionI
clone() - Method in class org.predict4all.nlp.words.correction.model.SimpleGeneratingCorrection
clone(int) - Method in class org.predict4all.nlp.words.model.EquivalenceClassWord
clone(int) - Method in class org.predict4all.nlp.words.model.SimpleWord
clone(int) - Method in class org.predict4all.nlp.words.model.TagWord
clone(int) - Method in class org.predict4all.nlp.words.model.UserWord
clone(int) - Method in interface org.predict4all.nlp.words.model.Word
close() - Method in class org.predict4all.nlp.ngram.dictionary.StaticNGramTrieDictionary
close() - Method in class org.predict4all.nlp.ngram.dictionary.TrainingNGramDictionary
close() - Method in class org.predict4all.nlp.parser.TokenListAppender
close() - Method in class org.predict4all.nlp.parser.TokenListProvider
CLOSE_HOOK - org.predict4all.nlp.Separator
COMMA - org.predict4all.nlp.Separator
compact() - Method in class org.predict4all.nlp.ngram.dictionary.AbstractNGramDictionary: Compact the nodes in this dictionary (this will call AbstractNGramTrieNode.compact() on root)
compact() - Method in class org.predict4all.nlp.ngram.trie.AbstractNGramTrieNode: compact the children of this node (if this node has children)
compact() - Method in class org.predict4all.nlp.ngram.trie.map.TrieNodeMap: Compresses the hashtable to the minimum prime size (as defined by PrimeFinder) that will hold all of the elements currently in the table.
compact() - Method in class org.predict4all.nlp.words.WordDictionary
compareTo(AbstractPredictionToCompute) - Method in class org.predict4all.nlp.prediction.model.AbstractPredictionToCompute
computeD(TrainingConfiguration) - Method in class org.predict4all.nlp.ngram.dictionary.AbstractNGramDictionary: Compute the optimal value for d (absolute discounting parameter).
Usually d is computed with formula :
D = C1 / (C1 + 2 * C2)
Where C1 = number of ngram with count == 1, and C2 = number of ngram with count == 2.
computeD(TrainingConfiguration) - Method in class org.predict4all.nlp.ngram.dictionary.DynamicNGramDictionary
computeD(TrainingConfiguration) - Method in class org.predict4all.nlp.ngram.dictionary.StaticNGramTrieDictionary
computeD(TrainingConfiguration) - Method in class org.predict4all.nlp.ngram.dictionary.TrainingNGramDictionary
computeMaxSize(int) - Method in class org.predict4all.nlp.ngram.trie.map.TrieNodeMap: Computes the values of maxSize.
computePrediction(WordDictionary) - Method in class org.predict4all.nlp.prediction.model.AbstractPredictionToCompute
computePrediction(WordDictionary) - Method in class org.predict4all.nlp.prediction.model.DoublePredictionToCompute
computePrediction(WordDictionary) - Method in class org.predict4all.nlp.prediction.model.UniquePredictionToCompute
computeProbabilityForChildren(int, double[], boolean) - Method in class org.predict4all.nlp.ngram.trie.DynamicNGramTrieNode: Compute frequency for this node using absolute discounting.
Compute this node frequency, backoff weight, and then compute the frequency for node children.
consumeFreeSlot - Variable in class org.predict4all.nlp.ngram.trie.map.TrieNodeMap
contains(int) - Method in class org.predict4all.nlp.ngram.trie.map.TrieNodeMap: Searches the set for val
contains(T) - Method in class org.predict4all.nlp.utils.FifoSet
containsKey(int) - Method in class org.predict4all.nlp.ngram.trie.map.TrieNodeMap
containsUpperCase(String) - Static method in class org.predict4all.nlp.utils.Predict4AllUtils
containsValue(Object) - Method in class org.predict4all.nlp.ngram.trie.map.TrieNodeMap
containsWord(int) - Method in class org.predict4all.nlp.language.french.FrenchStopWordDictionary
containsWord(int) - Method in interface org.predict4all.nlp.language.StopWordDictionary
containsWord(String) - Method in interface org.predict4all.nlp.language.BaseWordDictionary
containsWord(String) - Method in class org.predict4all.nlp.language.french.FrenchBaseWordDictionary
convertWrittenYearToExactYear(int) - Static method in class org.predict4all.nlp.language.french.FrenchLanguageUtils
CoOccurrenceKey - Class in org.predict4all.nlp.semantic
CoOccurrenceKey(int, int) - Constructor for class org.predict4all.nlp.semantic.CoOccurrenceKey
correction - Variable in class org.predict4all.nlp.prediction.model.AbstractPredictionToCompute
CorrectionRule - Class in org.predict4all.nlp.words.correction.model
CorrectionRuleBuilder - Class in org.predict4all.nlp.words.correction.model
CorrectionRuleNode - Class in org.predict4all.nlp.words.correction.model
CorrectionRuleNode(CorrectionRuleNode.CorrectionRuleNodeType) - Constructor for class org.predict4all.nlp.words.correction.model.CorrectionRuleNode
CorrectionRuleNode.CorrectionRuleNodeType - Enum in org.predict4all.nlp.words.correction.model
count - Variable in class org.predict4all.nlp.trainer.corpus.AbstractTrainingDocument
COUNT_FORMAT - Static variable in class org.predict4all.nlp.words.WordDictionaryGenerator
countEndUntilNextSeparator(String) - Static method in class org.predict4all.nlp.utils.Predict4AllUtils
countNGram(int, int, AtomicInteger, AtomicInteger) - Method in class org.predict4all.nlp.ngram.trie.DynamicNGramTrieNode: Count the number of ngram on a order : count the total count (occurence count) and the unique count (difference ngram count)
countNGrams() - Method in class org.predict4all.nlp.ngram.dictionary.TrainingNGramDictionary
countOneAndTwoOccurenceNGrams(int, AtomicInteger[], AtomicInteger[]) - Method in class org.predict4all.nlp.ngram.trie.DynamicNGramTrieNode: Count the number of ngram with a count == 1 or == 2.
This ignore ngram containing Tag.START
countStartUntilNextSeparator(String) - Static method in class org.predict4all.nlp.utils.Predict4AllUtils
create(int) - Static method in class org.predict4all.nlp.ngram.dictionary.TrainingNGramDictionary: Create an empty training ngram trie dictionary
create(int, String) - Static method in class org.predict4all.nlp.words.model.SimpleWord
create(int, String) - Static method in class org.predict4all.nlp.words.model.UserWord
create(int, String, double, boolean, boolean, long, int) - Static method in class org.predict4all.nlp.words.model.UserWord
create(String) - Static method in class org.predict4all.nlp.parser.token.WordToken
create(String, EquivalenceClass) - Static method in class org.predict4all.nlp.parser.token.EquivalenceClassToken
create(Separator) - Static method in class org.predict4all.nlp.parser.token.SeparatorToken
create(Tag) - Static method in class org.predict4all.nlp.parser.token.TagToken
createDouble(int, int, Separator, double, boolean, StringBuilder) - Static method in class org.predict4all.nlp.words.NextWord
createMap(T...) - Static method in class org.predict4all.nlp.utils.Predict4AllUtils
createMatchedString(List<String>) - Method in class org.predict4all.nlp.language.french.matcher.AcronymMatcher
createMatchedString(List<String>) - Method in class org.predict4all.nlp.language.french.matcher.HyphenMatcher
createMatchedString(List<String>) - Method in class org.predict4all.nlp.parser.matcher.AbstractRecursiveMatcher
createModified(int, String, boolean, boolean, double, boolean, boolean) - Static method in class org.predict4all.nlp.words.model.SimpleWord
createPrefixFor(List<Token>, WordPrefixDetected, int, boolean) - Method in class org.predict4all.nlp.ngram.NGramWordPredictorUtils: Create the prefix for a given raw context (token list) : the context is meant to be used for ngram trie exploring.
The context takes care of using only the last sentence, to detect the current written word, and to retrieve a context of the wanted order.
createUnique(int, double, boolean, StringBuilder) - Static method in class org.predict4all.nlp.words.NextWord
createWordDictionary(TrainingCorpus, Consumer<List<TrainerTask>>, File) - Method in class org.predict4all.nlp.words.WordDictionaryGenerator
CURRENCY_EURO_SYMBOL - org.predict4all.nlp.Separator
currentPartFinishedAndNewPartStarted(Separator, StringBuilder) - Method in interface org.predict4all.nlp.words.correction.model.GeneratingCorrectionI
currentPartFinishedAndNewPartStarted(Separator, StringBuilder) - Method in class org.predict4all.nlp.words.correction.model.SimpleGeneratingCorrection
CUSTOM - org.predict4all.nlp.EquivalenceClass

D

DaemonThreadFactory - Class in org.predict4all.nlp.utils
DaemonThreadFactory() - Constructor for class org.predict4all.nlp.utils.DaemonThreadFactory
DataTrainer - Class in org.predict4all.nlp.trainer: Class to create prediction data to be used with a word predictor.
DataTrainer(File, File, File, File, LanguageModel, TrainingConfiguration) - Constructor for class org.predict4all.nlp.trainer.DataTrainer
DataTrainerResult - Class in org.predict4all.nlp.trainer
DataTrainerResult.Builder - Class in org.predict4all.nlp.trainer: Builder to build DataTrainerResult.
DATE_DAY_MONTH - org.predict4all.nlp.EquivalenceClass
DATE_FULL_DIGIT - org.predict4all.nlp.EquivalenceClass
DATE_FULL_TEXT - org.predict4all.nlp.EquivalenceClass
DATE_HOUR - org.predict4all.nlp.EquivalenceClass
DATE_MONTH - org.predict4all.nlp.EquivalenceClass
DATE_MONTH_YEAR - org.predict4all.nlp.EquivalenceClass
DATE_WEEK_DAY - org.predict4all.nlp.EquivalenceClass
DateDayMonthMatcher - Class in org.predict4all.nlp.language.french.matcher
DateDayMonthMatcher() - Constructor for class org.predict4all.nlp.language.french.matcher.DateDayMonthMatcher
DateFullDigitMatcher - Class in org.predict4all.nlp.language.french.matcher
DateFullDigitMatcher() - Constructor for class org.predict4all.nlp.language.french.matcher.DateFullDigitMatcher
DateFullTextMatcher - Class in org.predict4all.nlp.language.french.matcher
DateFullTextMatcher() - Constructor for class org.predict4all.nlp.language.french.matcher.DateFullTextMatcher
DateMonthYearMatcher - Class in org.predict4all.nlp.language.french.matcher
DateMonthYearMatcher() - Constructor for class org.predict4all.nlp.language.french.matcher.DateMonthYearMatcher
DateWeekDayMatcher - Class in org.predict4all.nlp.language.french.matcher
DateWeekDayMatcher() - Constructor for class org.predict4all.nlp.language.french.matcher.DateWeekDayMatcher
debug(WordDictionary, AbstractNGramTrieNode<?>) - Method in interface org.predict4all.nlp.ngram.debug.NGramDebugger
debugInformation - Variable in class org.predict4all.nlp.prediction.model.AbstractPredictionToCompute
DECIMAL - org.predict4all.nlp.EquivalenceClass
defaultConfiguration() - Static method in class org.predict4all.nlp.trainer.configuration.TrainingConfiguration
defaultConfiguration(File) - Static method in class org.predict4all.nlp.trainer.configuration.TrainingConfiguration
DefaultCorrectionRuleGenerator - Class in org.predict4all.nlp.words.correction
DefaultCorrectionRuleGenerator() - Constructor for class org.predict4all.nlp.words.correction.DefaultCorrectionRuleGenerator
DefaultCorrectionRuleGenerator.CorrectionRuleType - Enum in org.predict4all.nlp.words.correction
DefaultCorrectionRuleGenerator.TranslationProvider - Interface in org.predict4all.nlp.words.correction
DICTIONARY_INFORMATION_BYTE_COUNT - Static variable in class org.predict4all.nlp.ngram.dictionary.AbstractNGramDictionary: Byte count needed to save general information about this dictionary.
dispose() - Method in class org.predict4all.nlp.prediction.WordPredictor
dispose() - Method in class org.predict4all.nlp.words.correction.WordCorrectionGenerator
document - Variable in class org.predict4all.nlp.trainer.TrainerTask
DOUBLE_LETTER - org.predict4all.nlp.words.correction.DefaultCorrectionRuleGenerator.CorrectionRuleType
DoublePredictionToCompute - Class in org.predict4all.nlp.prediction.model: Represent the prediction for two word in a row.
Could have been generic (more than two, but for computing performance, limit combination to two word only)
DoublePredictionToCompute(int, int, boolean, int[], int[], double, boolean, StringBuilder) - Constructor for class org.predict4all.nlp.prediction.model.DoublePredictionToCompute
duplicate() - Method in class org.predict4all.nlp.words.correction.model.GeneratingCorrection
DYNAMIC_TRIE_NODE_SIZE_BYTE - Static variable in class org.predict4all.nlp.ngram.trie.AbstractNGramTrieNode: Dynamic node byte size (4 integer) Integer : word id, children size, children position, count
DynamicNGramDictionary - Class in org.predict4all.nlp.ngram.dictionary: Represent a TrainingNGramDictionary that can also be opened to be trained again.
This type of dictionary is useful when using a dynamic user model : the dynamic user dictionary is loaded and trained during each session, and then saved to be used in the next sessions.
DynamicNGramDictionary(int) - Constructor for class org.predict4all.nlp.ngram.dictionary.DynamicNGramDictionary
DynamicNGramTrieNode - Class in org.predict4all.nlp.ngram.trie: Represent a dynamic trie node structure : this trie node is useful when the ngram count has to be retrieved.
Dynamic trie node children are always fully loaded (they are not loaded on demand) and their frequencies can change.
Because dynamic trie node are used to be saved and loaded as StaticNGramTrieNode or DynamicNGramTrieNode they contains two write method : DynamicNGramTrieNode.writeStaticNode(FileChannel, int) if they are saved to be loaded as StaticNGramTrieNode and DynamicNGramTrieNode.writeDynamicNode(FileChannel, int) if they are saved to be loaded as DynamicNGramTrieNode : one save static information about the node (frequency, bow), the other only save dynamic information (count) because frequencies are dynamically computed.
DynamicNGramTrieNode() - Constructor for class org.predict4all.nlp.ngram.trie.DynamicNGramTrieNode

E

encoding - Variable in class org.predict4all.nlp.trainer.corpus.AbstractTrainingDocument
endCorrection(double) - Method in interface org.predict4all.nlp.words.correction.model.GeneratingCorrectionI
endCorrection(double) - Method in class org.predict4all.nlp.words.correction.model.SimpleGeneratingCorrection
endsWith(String, String) - Static method in class org.predict4all.nlp.utils.Predict4AllUtils
EQUAL - org.predict4all.nlp.Separator
equals(Object) - Method in class org.predict4all.nlp.ngram.NGramKey
equals(Object) - Method in class org.predict4all.nlp.parser.token.SeparatorToken
equals(Object) - Method in class org.predict4all.nlp.parser.token.WordToken
equals(Object) - Method in class org.predict4all.nlp.semantic.CoOccurrenceKey
equals(Object) - Method in class org.predict4all.nlp.utils.BiIntegerKey
equals(Object) - Method in class org.predict4all.nlp.words.correction.model.CorrectionRule
EquivalenceClass - Enum in org.predict4all.nlp: Represent a equivalence class type that can be used when training a language model.
Useful to group same kind of element in a corpus under a same concept instead of textual data.
3 These are especially used in semantic data.
EquivalenceClassToken - Class in org.predict4all.nlp.parser.token
EquivalenceClassWord - Class in org.predict4all.nlp.words.model
EquivalenceClassWord(EquivalenceClass) - Constructor for class org.predict4all.nlp.words.model.EquivalenceClassWord
EXCLAMATION - org.predict4all.nlp.Separator
executeLSATrainingForR(TrainingCorpus, File, Consumer<List<? extends TrainerTask>>) - Method in class org.predict4all.nlp.semantic.SemanticDictionaryGenerator
executeNGramTraining(TrainingCorpus, File, Consumer<List<TrainerTask>>) - Method in class org.predict4all.nlp.ngram.NGramDictionaryGenerator
executeTermDetection(List<Token>) - Method in class org.predict4all.nlp.parser.matcher.TokenConverter
executeTokenPatternMatching(TrainingCorpus) - Method in class org.predict4all.nlp.parser.matcher.TokenConverter
executeWriteLevelOnRoot(FileChannel, int) - Method in class org.predict4all.nlp.ngram.dictionary.DynamicNGramDictionary
executeWriteLevelOnRoot(FileChannel, int) - Method in class org.predict4all.nlp.ngram.dictionary.TrainingNGramDictionary: Call the correct node method to save a trie level to file.
exploreChildren(int, int, BiConsumer<Integer, DynamicNGramTrieNode>) - Method in class org.predict4all.nlp.ngram.trie.DynamicNGramTrieNode

F

factor - Variable in class org.predict4all.nlp.prediction.model.AbstractPredictionToCompute
FifoSet<T> - Class in org.predict4all.nlp.utils: A set maintaining exactly FifoSet.maxSize or less but keeping there insertion order to always delete the first inserted element when set is full.
FifoSet(int) - Constructor for class org.predict4all.nlp.utils.FifoSet
FILENAME_LSA_DICTIONARY - Static variable in class org.predict4all.nlp.trainer.DataTrainer
FILENAME_NGRAM_DICTIONARY - Static variable in class org.predict4all.nlp.trainer.DataTrainer
FILENAME_WORD_DICTIONARY - Static variable in class org.predict4all.nlp.trainer.DataTrainer
forceInvalid - Variable in class org.predict4all.nlp.words.model.SimpleWord
forceValid - Variable in class org.predict4all.nlp.words.model.SimpleWord
forEach(TIntProcedure) - Method in class org.predict4all.nlp.ngram.trie.map.TrieNodeMap: Executes procedure for each element in the set.
forEachEntry(TIntObjectProcedure<? super V>) - Method in class org.predict4all.nlp.ngram.trie.map.TrieNodeMap
forEachKey(TIntProcedure) - Method in class org.predict4all.nlp.ngram.trie.map.TrieNodeMap
forEachValue(TObjectProcedure<? super V>) - Method in class org.predict4all.nlp.ngram.trie.map.TrieNodeMap
forEachValue(Consumer<? super V>) - Method in class org.predict4all.nlp.ngram.trie.map.TrieNodeMap
FOUR_DIGIT_FORMAT_ALWAYS - Static variable in class org.predict4all.nlp.language.french.FrenchLanguageUtils
FREE - Static variable in class org.predict4all.nlp.ngram.trie.map.TrieNodeMap: flag indicating that a slot in the hashtable is available
FrenchBaseWordDictionary - Class in org.predict4all.nlp.language.french: French dictionary based on Lexique.org
FrenchBaseWordDictionary(String) - Constructor for class org.predict4all.nlp.language.french.FrenchBaseWordDictionary
FrenchLanguageModel - Class in org.predict4all.nlp.language.french
FrenchLanguageModel() - Constructor for class org.predict4all.nlp.language.french.FrenchLanguageModel
FrenchLanguageUtils - Class in org.predict4all.nlp.language.french: Utils methods for french language.
FrenchStopWordDictionary - Class in org.predict4all.nlp.language.french
FrenchStopWordDictionary(String) - Constructor for class org.predict4all.nlp.language.french.FrenchStopWordDictionary
frequency - Variable in class org.predict4all.nlp.ngram.trie.AbstractNGramTrieNode: Computed frequency for this node
from(TrainingConfiguration) - Static method in class org.predict4all.nlp.trainer.configuration.TrainingConfiguration
FULL - Static variable in class org.predict4all.nlp.ngram.trie.map.TrieNodeMap: flag indicating that a slot in the hashtable is occupied

G

GE_GU_SOUND - org.predict4all.nlp.words.correction.DefaultCorrectionRuleGenerator.CorrectionRuleType
generateNodeFor(PredictionParameter) - Method in enum org.predict4all.nlp.words.correction.DefaultCorrectionRuleGenerator.CorrectionRuleType
GeneratingCorrection - Class in org.predict4all.nlp.words.correction.model
GeneratingCorrection(String, boolean) - Constructor for class org.predict4all.nlp.words.correction.model.GeneratingCorrection
GeneratingCorrectionI - Interface in org.predict4all.nlp.words.correction.model
get(int) - Method in class org.predict4all.nlp.ngram.trie.map.TrieNodeMap
getAbbreviationOrRegex() - Static method in class org.predict4all.nlp.language.french.FrenchLanguageUtils
getAllWords() - Method in class org.predict4all.nlp.words.WordDictionary
getAppliedCorrections() - Method in class org.predict4all.nlp.words.correction.model.GeneratingCorrection
getAverageVocabularySize() - Method in class org.predict4all.nlp.language.french.FrenchLanguageModel
getAverageVocabularySize() - Method in interface org.predict4all.nlp.language.LanguageModel: Average total vocabulary size (different existing words)
getAverageWordLength() - Method in class org.predict4all.nlp.language.french.FrenchLanguageModel
getAverageWordLength() - Method in interface org.predict4all.nlp.language.LanguageModel
getBaseWordDictionary(TrainingConfiguration) - Method in class org.predict4all.nlp.language.french.FrenchLanguageModel
getBaseWordDictionary(TrainingConfiguration) - Method in interface org.predict4all.nlp.language.LanguageModel
getBaseWordDictionaryPath() - Method in class org.predict4all.nlp.trainer.configuration.TrainingConfiguration
getById(byte) - Static method in enum org.predict4all.nlp.Tag
getChildren() - Method in class org.predict4all.nlp.ngram.trie.AbstractNGramTrieNode
getChildren() - Method in class org.predict4all.nlp.words.correction.model.CorrectionRuleNode
getChildrenBackoffWeight() - Method in class org.predict4all.nlp.ngram.trie.AbstractNGramTrieNode
getChildrenCountSum() - Method in class org.predict4all.nlp.ngram.trie.DynamicNGramTrieNode
getChildrenSize() - Method in class org.predict4all.nlp.ngram.trie.AbstractNGramTrieNode
getChildrenSize() - Method in class org.predict4all.nlp.ngram.trie.DynamicNGramTrieNode
getChildrenSize() - Method in class org.predict4all.nlp.ngram.trie.StaticNGramTrieNode
getConcurrencyLevel() - Method in class org.predict4all.nlp.trainer.corpus.TrainingCorpus
getConfiguration() - Method in class org.predict4all.runtime.LanguageDataModelTrainerArgs
getContextText() - Method in class org.predict4all.nlp.prediction.WordPredictor
getConvertCaseFromDictionaryModelThreshold() - Method in class org.predict4all.nlp.trainer.configuration.TrainingConfiguration
getCorpus() - Method in class org.predict4all.nlp.trainer.configuration.TrainingConfiguration
getCorrectionDefaultCost() - Method in class org.predict4all.nlp.prediction.PredictionParameter
getCorrectionDefaultFactor() - Method in class org.predict4all.nlp.prediction.PredictionParameter
getCorrectionDoubleWordLeftMinFrequency() - Method in class org.predict4all.nlp.prediction.PredictionParameter
getCorrectionMaxCost() - Method in class org.predict4all.nlp.prediction.PredictionParameter
getCorrectionRule() - Method in class org.predict4all.nlp.words.correction.model.CorrectionRuleNode
getCorrectionRulesRoot() - Method in class org.predict4all.nlp.prediction.PredictionParameter
getCost() - Method in class org.predict4all.nlp.words.correction.model.CorrectionRule
getCost() - Method in class org.predict4all.nlp.words.correction.model.CorrectionRuleBuilder
getCount() - Method in class org.predict4all.nlp.ngram.trie.DynamicNGramTrieNode
getCount() - Method in class org.predict4all.nlp.trainer.corpus.AbstractTrainingDocument
getCount() - Method in class org.predict4all.nlp.utils.progressindicator.LoggingProgressIndicator
getCount() - Method in class org.predict4all.nlp.utils.progressindicator.NoOpProgressIndicator
getCount() - Method in interface org.predict4all.nlp.utils.progressindicator.ProgressIndicator
getCount() - Method in class org.predict4all.nlp.words.model.AbstractWord
getCount() - Method in class org.predict4all.nlp.words.model.UserWord
getCount() - Method in interface org.predict4all.nlp.words.model.Word
getCountMap() - Method in class org.predict4all.nlp.utils.FifoSet
getCurrentPart() - Method in class org.predict4all.nlp.words.correction.model.GeneratingCorrection
getCurrentPart() - Method in interface org.predict4all.nlp.words.correction.model.GeneratingCorrectionI
getCurrentPart() - Method in class org.predict4all.nlp.words.correction.model.SimpleGeneratingCorrection
getCurrentPartLength() - Method in interface org.predict4all.nlp.words.correction.model.GeneratingCorrectionI
getCurrentPartLength() - Method in class org.predict4all.nlp.words.correction.model.SimpleGeneratingCorrection
getCustomParameters() - Method in class org.predict4all.nlp.prediction.PredictionParameter
getDebugInfo() - Method in class org.predict4all.nlp.prediction.WordPrediction
getDebugInfo() - Method in class org.predict4all.nlp.prediction.WordPredictionResult
getDebugInformation() - Method in class org.predict4all.nlp.prediction.model.AbstractPredictionToCompute
getDebugInformation() - Method in class org.predict4all.nlp.words.correction.model.GeneratingCorrection
getDebugInformation() - Method in interface org.predict4all.nlp.words.correction.model.GeneratingCorrectionI
getDebugInformation() - Method in class org.predict4all.nlp.words.correction.model.SimpleGeneratingCorrection
getDebugInformation() - Method in class org.predict4all.nlp.words.NextWord
getDebugPrefix() - Method in class org.predict4all.nlp.ngram.NGramDictionaryGenerator
getDebugPrefix() - Method in class org.predict4all.nlp.trainer.DataTrainer
getDensitiesMap() - Method in class org.predict4all.nlp.semantic.SemanticDictionary
getDescriptionId() - Method in enum org.predict4all.nlp.words.correction.DefaultCorrectionRuleGenerator.CorrectionRuleType
getDirectlyValidWordCountThreshold() - Method in class org.predict4all.nlp.trainer.configuration.TrainingConfiguration
getDocuments(TrainingStep) - Method in class org.predict4all.nlp.trainer.corpus.TrainingCorpus
getDynamicModelMinimumWeight() - Method in class org.predict4all.nlp.prediction.PredictionParameter
getDynamicNGramDictionary() - Method in class org.predict4all.nlp.prediction.WordPredictor
getDynamicTrainingTime() - Method in class org.predict4all.nlp.prediction.WordPredictor
getECById(byte) - Static method in enum org.predict4all.nlp.EquivalenceClass
getEncoding() - Method in class org.predict4all.nlp.trainer.corpus.TrainingCorpus
getEndFactor() - Method in class org.predict4all.nlp.words.correction.model.GeneratingCorrection
getEndFactor() - Method in interface org.predict4all.nlp.words.correction.model.GeneratingCorrectionI
getEndFactor() - Method in class org.predict4all.nlp.words.correction.model.SimpleGeneratingCorrection
getEndPart(int) - Method in interface org.predict4all.nlp.words.correction.model.GeneratingCorrectionI
getEndPart(int) - Method in class org.predict4all.nlp.words.correction.model.SimpleGeneratingCorrection
getEndSeparator(int) - Method in interface org.predict4all.nlp.words.correction.model.GeneratingCorrectionI
getEndSeparator(int) - Method in class org.predict4all.nlp.words.correction.model.SimpleGeneratingCorrection
getEndUntilNextSeparator(String) - Static method in class org.predict4all.nlp.utils.Predict4AllUtils
getEquivalenceClass() - Method in class org.predict4all.nlp.parser.token.EquivalenceClassToken
getEquivalenceClass() - Method in interface org.predict4all.nlp.parser.token.Token
getEquivalenceClass() - Method in class org.predict4all.nlp.words.model.AbstractWord
getEquivalenceClass() - Method in interface org.predict4all.nlp.words.model.Word
getEquivalenceClassId() - Method in class org.predict4all.nlp.words.model.AbstractWord
getEquivalenceClassId() - Method in class org.predict4all.nlp.words.model.EquivalenceClassWord
getEquivalenceClassId() - Method in interface org.predict4all.nlp.words.model.Word
getError() - Method in class org.predict4all.nlp.words.correction.model.CorrectionRule
getErrors() - Method in class org.predict4all.nlp.words.correction.model.CorrectionRuleBuilder
getExactWordsWithPrefixExist(String) - Method in class org.predict4all.nlp.words.WordDictionary
getExampleId() - Method in enum org.predict4all.nlp.words.correction.DefaultCorrectionRuleGenerator.CorrectionRuleType
getExtractedTokenValues() - Method in class org.predict4all.nlp.parser.matcher.TokenRegexResult
getExtractedValue(int) - Method in class org.predict4all.nlp.parser.matcher.TokenRegexResult
getFactor() - Method in class org.predict4all.nlp.prediction.model.AbstractPredictionToCompute
getFactor() - Method in class org.predict4all.nlp.words.correction.model.CorrectionRule
getFactor() - Method in class org.predict4all.nlp.words.correction.model.CorrectionRuleBuilder
getFactor() - Method in class org.predict4all.nlp.words.NextWord
getFirstPrefix() - Method in class org.predict4all.nlp.prediction.model.DoublePredictionToCompute
getFirstWordId() - Method in class org.predict4all.nlp.prediction.model.DoublePredictionToCompute
getFormattedText() - Method in class org.predict4all.nlp.parser.matcher.PatternMatched
getFrequency() - Method in class org.predict4all.nlp.ngram.trie.AbstractNGramTrieNode
getFrequency(String) - Method in interface org.predict4all.nlp.language.BaseWordDictionary
getFrequency(String) - Method in class org.predict4all.nlp.language.french.FrenchBaseWordDictionary
getId() - Method in enum org.predict4all.nlp.EquivalenceClass
getId() - Method in class org.predict4all.nlp.language.french.FrenchLanguageModel
getId() - Method in interface org.predict4all.nlp.language.LanguageModel
getId() - Method in enum org.predict4all.nlp.Separator
getId() - Method in enum org.predict4all.nlp.Tag
getID() - Method in class org.predict4all.nlp.words.model.AbstractWord
getID() - Method in interface org.predict4all.nlp.words.model.Word
getIdByte() - Method in enum org.predict4all.nlp.EquivalenceClass
getIdByte() - Method in enum org.predict4all.nlp.Separator
getIdByte() - Method in enum org.predict4all.nlp.Tag
getIDGeneratorState() - Method in class org.predict4all.nlp.words.WordDictionary
getInput() - Method in class org.predict4all.runtime.LanguageDataModelTrainerArgs
getInputFile() - Method in class org.predict4all.nlp.trainer.corpus.AbstractTrainingDocument
getKey() - Method in class org.predict4all.nlp.words.correction.model.GeneratingCorrection
getKey() - Method in interface org.predict4all.nlp.words.correction.model.GeneratingCorrectionI
getKey() - Method in class org.predict4all.nlp.words.correction.model.SimpleGeneratingCorrection
getLanguage() - Method in class org.predict4all.runtime.LanguageDataModelTrainerArgs
getLanguageModel() - Method in class org.predict4all.nlp.prediction.PredictionParameter
getLastMatchedToken() - Method in class org.predict4all.nlp.parser.matcher.TokenRegexResult
getLeft() - Method in class org.predict4all.nlp.utils.Pair
getLeft() - Method in class org.predict4all.nlp.utils.Triple
getLongestMatchingWords(List<Token>, int, TIntHashSet) - Method in class org.predict4all.nlp.words.WordPrefixDetector: Try to detect if the end of the given sentence finish with a word already started.
This is much more precise than just checking if the last token is a separator, because a word could have separator inside (e.g. : "New York" has a space, "là-bas" has a hyphen).
getLongestWordPrefix() - Method in class org.predict4all.nlp.words.WordPrefixDetected
getLsaDensitySize() - Method in class org.predict4all.nlp.trainer.configuration.TrainingConfiguration
getLsaFrequentWordSize() - Method in class org.predict4all.nlp.trainer.configuration.TrainingConfiguration
getLsaTargetSvdSize() - Method in class org.predict4all.nlp.trainer.configuration.TrainingConfiguration
getLsaVocabularySize() - Method in class org.predict4all.nlp.trainer.configuration.TrainingConfiguration
getLsaWindowSize() - Method in class org.predict4all.nlp.trainer.configuration.TrainingConfiguration
getMax() - Method in class org.predict4all.nlp.utils.progressindicator.LoggingProgressIndicator
getMax() - Method in class org.predict4all.nlp.utils.progressindicator.NoOpProgressIndicator
getMax() - Method in interface org.predict4all.nlp.utils.progressindicator.ProgressIndicator
getMaxIdValue() - Static method in enum org.predict4all.nlp.EquivalenceClass
getMaxIndexFromEnd() - Method in class org.predict4all.nlp.words.correction.model.CorrectionRule
getMaxIndexFromEnd() - Method in class org.predict4all.nlp.words.correction.model.CorrectionRuleBuilder
getMaxIndexFromStart() - Method in class org.predict4all.nlp.words.correction.model.CorrectionRule
getMaxIndexFromStart() - Method in class org.predict4all.nlp.words.correction.model.CorrectionRuleBuilder
getMaxOrder() - Method in class org.predict4all.nlp.ngram.dictionary.AbstractNGramDictionary
getMiddle() - Method in class org.predict4all.nlp.utils.Triple
getMinCountToProvideCorrection() - Method in class org.predict4all.nlp.prediction.PredictionParameter
getMinCountToProvidePrediction() - Method in class org.predict4all.nlp.prediction.PredictionParameter
getMinIndexFromEnd() - Method in class org.predict4all.nlp.words.correction.model.CorrectionRule
getMinIndexFromEnd() - Method in class org.predict4all.nlp.words.correction.model.CorrectionRuleBuilder
getMinIndexFromStart() - Method in class org.predict4all.nlp.words.correction.model.CorrectionRule
getMinIndexFromStart() - Method in class org.predict4all.nlp.words.correction.model.CorrectionRuleBuilder
getMinUseCountToValidateNewWord() - Method in class org.predict4all.nlp.prediction.PredictionParameter
getMonthOrRegex() - Static method in class org.predict4all.nlp.language.french.FrenchLanguageUtils
getName() - Method in class org.predict4all.nlp.words.correction.model.CorrectionRuleNode
getNameId() - Method in enum org.predict4all.nlp.words.correction.DefaultCorrectionRuleGenerator.CorrectionRuleType
getNext() - Method in class org.predict4all.nlp.io.TokenFileInputStream
getNext() - Method in class org.predict4all.nlp.parser.matcher.TokenRegexMatcher
getNext() - Method in class org.predict4all.nlp.parser.TokenListProvider
getNext() - Method in interface org.predict4all.nlp.parser.TokenProvider
getNext(TokenProvider) - Method in interface org.predict4all.nlp.parser.token.Token
getNextCharCountToRemove() - Method in class org.predict4all.nlp.prediction.WordPredictionResult
getNextWord(int[]) - Method in class org.predict4all.nlp.ngram.dictionary.AbstractNGramDictionary: Return the immediate next words for a given prefix (without any filter)
getNgramCounts() - Method in class org.predict4all.nlp.trainer.DataTrainerResult
getNgramDebugAfterPruning() - Method in class org.predict4all.nlp.ngram.NGramDictionaryGenerator
getNgramDebugBeforePruning() - Method in class org.predict4all.nlp.ngram.NGramDictionaryGenerator
getNgramDictionary() - Method in class org.predict4all.runtime.LanguageDataModelTrainerArgs
getNgramMaxLastTextLength() - Method in class org.predict4all.nlp.prediction.PredictionParameter
getNgramMaxLastTokenCountFactor() - Method in class org.predict4all.nlp.prediction.PredictionParameter
getNgramOrder() - Method in class org.predict4all.nlp.trainer.configuration.TrainingConfiguration
getNgramPruningCountThreshold() - Method in class org.predict4all.nlp.trainer.configuration.TrainingConfiguration
getNgramPruningOrderCountThresholds() - Method in class org.predict4all.nlp.trainer.configuration.TrainingConfiguration
getNgramPruningWeightedDifferenceThreshold() - Method in class org.predict4all.nlp.trainer.configuration.TrainingConfiguration
getNGramTag() - Method in class org.predict4all.nlp.words.model.AbstractWord
getNGramTag() - Method in interface org.predict4all.nlp.words.model.Word
getNGramTagId() - Method in class org.predict4all.nlp.words.model.AbstractWord
getNGramTagId() - Method in class org.predict4all.nlp.words.model.TagWord
getNGramTagId() - Method in interface org.predict4all.nlp.words.model.Word
getNodeFor(int[], int, int) - Method in class org.predict4all.nlp.ngram.trie.DynamicNGramTrieNode: Retrieve a node for a given prefix (if exists)
getNodeFor(FileChannel, int[], int) - Method in class org.predict4all.nlp.ngram.trie.StaticNGramTrieNode: Will try to retrieve a node for a given prefix.
Load needed node on demand while browsing the trie.
Children of the returned node are not loaded yet.
getNodeForPrefix(int[], int) - Method in class org.predict4all.nlp.ngram.dictionary.AbstractNGramDictionary: Use to retrieve a node for a given prefix.
For example, for prefix = [1,2] will return the trie node corresponding to {2}.
The children of the given node may have not been loaded.
getNodeForPrefix(int[], int) - Method in class org.predict4all.nlp.ngram.dictionary.StaticNGramTrieDictionary
getNodeForPrefix(int[], int) - Method in class org.predict4all.nlp.ngram.dictionary.TrainingNGramDictionary
getOfficialChar() - Method in enum org.predict4all.nlp.Separator
getOfficialCharString() - Method in enum org.predict4all.nlp.Separator
getOrDefault(T, T) - Static method in class org.predict4all.nlp.utils.Predict4AllUtils
getOutputDirectory() - Method in class org.predict4all.nlp.trainer.corpus.TrainingCorpus
getOutputDirectoryName() - Method in enum org.predict4all.nlp.trainer.step.TrainingStep
getOutputFile() - Method in class org.predict4all.nlp.trainer.corpus.AbstractTrainingDocument
getPart(int) - Method in class org.predict4all.nlp.words.correction.model.GeneratingCorrection
getPartCount() - Method in class org.predict4all.nlp.words.correction.model.GeneratingCorrection
getPartCount() - Method in interface org.predict4all.nlp.words.correction.model.GeneratingCorrectionI
getPartCount() - Method in class org.predict4all.nlp.words.correction.model.SimpleGeneratingCorrection
getPattern(String, int) - Static method in class org.predict4all.nlp.parser.matcher.TermMatcherUtils
getPrediction() - Method in class org.predict4all.nlp.prediction.model.AbstractPredictionToCompute
getPredictionParameter() - Method in class org.predict4all.nlp.prediction.WordPredictor
getPredictions() - Method in class org.predict4all.nlp.prediction.WordPredictionResult
getPredictionToDisplay() - Method in class org.predict4all.nlp.prediction.WordPrediction
getPredictionToInsert() - Method in class org.predict4all.nlp.prediction.WordPrediction
getPrefixSearchMaxTokenCount() - Method in class org.predict4all.nlp.prediction.PredictionParameter
getPreviousCharCountToRemove() - Method in class org.predict4all.nlp.prediction.WordPrediction
getPreviousEndToken() - Method in class org.predict4all.nlp.parser.matcher.PatternMatched
getPreviousStep() - Method in enum org.predict4all.nlp.trainer.step.TrainingStep
getProbability(int[], int, int, int) - Method in class org.predict4all.nlp.ngram.dictionary.AbstractNGramDictionary: Return the probability of a word for a given prefix.
Given index = 0 and length = prefix.length will return the maximum order probability (e.g. prefix.length = 3, will return probability for order 3)
getProbFactor() - Method in class org.predict4all.nlp.words.model.AbstractWord
getProbFactor() - Method in class org.predict4all.nlp.words.model.SimpleWord
getProbFactor() - Method in interface org.predict4all.nlp.words.model.Word
getPruningMethod() - Method in class org.predict4all.nlp.trainer.configuration.TrainingConfiguration
getRawProbability(int[], int, int, int) - Method in class org.predict4all.nlp.ngram.dictionary.AbstractNGramDictionary
getRegex() - Method in class org.predict4all.nlp.parser.matcher.TokenRegexMatcher
getReplacement() - Method in class org.predict4all.nlp.words.correction.model.CorrectionRule
getReplacementLeftPart() - Method in class org.predict4all.nlp.words.correction.model.CorrectionRule
getReplacementRightPart() - Method in class org.predict4all.nlp.words.correction.model.CorrectionRule
getReplacements() - Method in class org.predict4all.nlp.words.correction.model.CorrectionRuleBuilder
getReplacementSeparator() - Method in class org.predict4all.nlp.words.correction.model.CorrectionRule
getReplacementSeparatorIndex() - Method in class org.predict4all.nlp.words.correction.model.CorrectionRule
getRight() - Method in class org.predict4all.nlp.utils.Pair
getRight() - Method in class org.predict4all.nlp.utils.Triple
getRoot() - Method in class org.predict4all.nlp.ngram.dictionary.AbstractNGramDictionary
getRootBlockSize() - Method in class org.predict4all.nlp.ngram.dictionary.DynamicNGramDictionary
getRootBlockSize() - Method in class org.predict4all.nlp.ngram.dictionary.TrainingNGramDictionary
getScore() - Method in class org.predict4all.nlp.prediction.model.AbstractPredictionToCompute
getScore() - Method in class org.predict4all.nlp.prediction.WordPrediction
getSecondPrefix() - Method in class org.predict4all.nlp.prediction.model.DoublePredictionToCompute
getSecondWordId() - Method in class org.predict4all.nlp.prediction.model.DoublePredictionToCompute
getSemanticContrastFactor() - Method in class org.predict4all.nlp.prediction.PredictionParameter
getSemanticContrastFactor() - Method in interface org.predict4all.nlp.semantic.SemanticDictionaryConfiguration
getSemanticDensityMaxBound() - Method in class org.predict4all.nlp.prediction.PredictionParameter
getSemanticDensityMaxBound() - Method in interface org.predict4all.nlp.semantic.SemanticDictionaryConfiguration
getSemanticDensityMinBound() - Method in class org.predict4all.nlp.prediction.PredictionParameter
getSemanticDensityMinBound() - Method in interface org.predict4all.nlp.semantic.SemanticDictionaryConfiguration
getSemanticInputContextSize() - Method in class org.predict4all.nlp.prediction.PredictionParameter
getSeparator() - Method in class org.predict4all.nlp.parser.token.SeparatorToken
getSeparator() - Method in interface org.predict4all.nlp.parser.token.Token
getSeparator() - Method in class org.predict4all.nlp.words.NextWord
getSeparator(int) - Method in class org.predict4all.nlp.words.correction.model.GeneratingCorrection
getSeparatorById(byte) - Static method in enum org.predict4all.nlp.Separator
getSeparatorFor(char) - Static method in enum org.predict4all.nlp.Separator
getSet() - Method in class org.predict4all.nlp.utils.FifoSet
getSimilarityCosineFor(Collection<Integer>, List<AbstractPredictionToCompute>, double) - Method in class org.predict4all.nlp.semantic.SemanticDictionary
getSmoothingDiscountValue() - Method in class org.predict4all.nlp.trainer.configuration.TrainingConfiguration
getSmoothingDiscountValueLowerBound() - Method in class org.predict4all.nlp.trainer.configuration.TrainingConfiguration
getSmoothingDiscountValueUpperBound() - Method in class org.predict4all.nlp.trainer.configuration.TrainingConfiguration
getSrcBuilder() - Method in class org.predict4all.nlp.words.correction.model.CorrectionRule
getStartUntilNextSeparator(String) - Static method in class org.predict4all.nlp.utils.Predict4AllUtils
getStaticNgramDictionary() - Method in class org.predict4all.nlp.prediction.WordPredictor
getStep() - Method in class org.predict4all.nlp.trainer.corpus.AbstractTrainingDocument
getStep(File, TrainingCorpus) - Method in enum org.predict4all.nlp.trainer.step.TrainingStep
getStopWordDictionary(TrainingConfiguration) - Method in class org.predict4all.nlp.language.french.FrenchLanguageModel
getStopWordDictionary(TrainingConfiguration) - Method in interface org.predict4all.nlp.language.LanguageModel
getStopWordDictionaryPath() - Method in class org.predict4all.nlp.trainer.configuration.TrainingConfiguration
getTag() - Method in class org.predict4all.nlp.parser.token.TagToken
getTag() - Method in interface org.predict4all.nlp.parser.token.Token
getText() - Method in class org.predict4all.nlp.parser.token.SeparatorToken
getText() - Method in interface org.predict4all.nlp.parser.token.Token
getText() - Method in class org.predict4all.nlp.parser.token.WordToken
getTextForType() - Method in interface org.predict4all.nlp.parser.token.Token
getTokenCount() - Method in class org.predict4all.nlp.words.WordPrefixDetected
getTokenMatchersForNGram() - Method in class org.predict4all.nlp.language.AbstractLanguageModel
getTokenMatchersForNGram() - Method in class org.predict4all.nlp.language.french.FrenchLanguageModel
getTokenMatchersForNGram() - Method in interface org.predict4all.nlp.language.LanguageModel
getTokenMatchersForSemanticAnalysis() - Method in class org.predict4all.nlp.language.AbstractLanguageModel
getTokenMatchersForSemanticAnalysis() - Method in class org.predict4all.nlp.language.french.FrenchLanguageModel
getTokenMatchersForSemanticAnalysis() - Method in interface org.predict4all.nlp.language.LanguageModel
getTotalCountFor(TrainingStep) - Method in class org.predict4all.nlp.trainer.corpus.TrainingCorpus
getType() - Method in class org.predict4all.nlp.parser.matcher.PatternMatched
getType() - Method in class org.predict4all.nlp.words.correction.model.CorrectionRuleNode
getType() - Method in class org.predict4all.nlp.words.model.EquivalenceClassWord
getType() - Method in class org.predict4all.nlp.words.model.SimpleWord
getType() - Method in class org.predict4all.nlp.words.model.TagWord
getType() - Method in class org.predict4all.nlp.words.model.UserWord
getType() - Method in interface org.predict4all.nlp.words.model.Word
getUnknownWordCountThreshold() - Method in class org.predict4all.nlp.trainer.configuration.TrainingConfiguration
getUpdateDate() - Method in class org.predict4all.nlp.words.model.AbstractWord
getUpdateDate() - Method in class org.predict4all.nlp.words.model.UserWord
getUpdateDate() - Method in interface org.predict4all.nlp.words.model.Word
getUpperCaseReplacementThreshold() - Method in class org.predict4all.nlp.trainer.configuration.TrainingConfiguration
getValidOneCharWords() - Method in class org.predict4all.nlp.language.AbstractLanguageModel
getValidOneCharWords() - Method in class org.predict4all.nlp.language.french.FrenchLanguageModel
getValidOneCharWords() - Method in interface org.predict4all.nlp.language.LanguageModel
getValidWordForPredictionByPrefix(String, PredictionParameter, int, TIntHashSet) - Method in class org.predict4all.nlp.words.WordDictionary: Returns all the words that starts with a given prefix.
The returned list is not sorted.
getWeekDaysOrRegex() - Static method in class org.predict4all.nlp.language.french.FrenchLanguageUtils
getWord() - Method in class org.predict4all.nlp.words.model.EquivalenceClassWord
getWord() - Method in class org.predict4all.nlp.words.model.SimpleWord
getWord() - Method in class org.predict4all.nlp.words.model.TagWord
getWord() - Method in interface org.predict4all.nlp.words.model.Word
getWord(int) - Method in class org.predict4all.nlp.words.WordDictionary
getWord(String) - Method in class org.predict4all.nlp.words.WordDictionary
getWordCorrectionGenerator() - Method in class org.predict4all.nlp.prediction.WordPredictor
getWordDictionary() - Method in class org.predict4all.nlp.prediction.WordPredictor
getWordDictionary() - Method in class org.predict4all.runtime.LanguageDataModelTrainerArgs
getWordId() - Method in class org.predict4all.nlp.prediction.model.AbstractPredictionToCompute
getWordId() - Method in class org.predict4all.nlp.prediction.model.DoublePredictionToCompute
getWordId() - Method in class org.predict4all.nlp.prediction.model.UniquePredictionToCompute
getWordId() - Method in class org.predict4all.nlp.prediction.WordPrediction
getWordId(String) - Method in class org.predict4all.nlp.words.WordDictionary
getWordId(WordDictionary) - Method in interface org.predict4all.nlp.parser.token.Token
getWordId1() - Method in class org.predict4all.nlp.words.NextWord
getWordId2() - Method in class org.predict4all.nlp.words.NextWord
getWords() - Method in class org.predict4all.nlp.words.WordPrefixDetected
getWordUsed() - Method in class org.predict4all.nlp.ngram.dictionary.DynamicNGramDictionary
GSON - Static variable in class org.predict4all.nlp.prediction.PredictionParameter

H

HASH - org.predict4all.nlp.Separator
hashCode() - Method in class org.predict4all.nlp.ngram.NGramKey
hashCode() - Method in class org.predict4all.nlp.parser.token.SeparatorToken
hashCode() - Method in class org.predict4all.nlp.parser.token.WordToken
hashCode() - Method in class org.predict4all.nlp.semantic.CoOccurrenceKey
hashCode() - Method in class org.predict4all.nlp.utils.BiIntegerKey
hashCode() - Method in class org.predict4all.nlp.words.correction.model.CorrectionRule
hasNext() - Method in interface org.predict4all.nlp.parser.StringProducer
HEARING_CONFUSION - org.predict4all.nlp.words.correction.DefaultCorrectionRuleGenerator.CorrectionRuleType
HOMOPHONE - org.predict4all.nlp.words.correction.DefaultCorrectionRuleGenerator.CorrectionRuleType
HYPHEN - org.predict4all.nlp.Separator
HyphenMatcher - Class in org.predict4all.nlp.language.french.matcher: Term matcher to match word sequence with hyphen between each word.
The sequence should start and end with hyphen, examples : a-t : valid a-t-elle : valid a-t-elle- : not valid -test- : not valid
HyphenMatcher() - Constructor for class org.predict4all.nlp.language.french.matcher.HyphenMatcher

I

increment() - Method in class org.predict4all.nlp.utils.progressindicator.LoggingProgressIndicator
increment() - Method in class org.predict4all.nlp.utils.progressindicator.NoOpProgressIndicator
increment() - Method in interface org.predict4all.nlp.utils.progressindicator.ProgressIndicator
increment() - Method in class org.predict4all.nlp.words.model.AbstractWord
increment() - Method in class org.predict4all.nlp.words.model.UserWord
increment() - Method in interface org.predict4all.nlp.words.model.Word
incrementUserWord(int) - Method in class org.predict4all.nlp.words.WordDictionary
index(int) - Method in class org.predict4all.nlp.ngram.trie.map.TrieNodeMap: Locates the index of val.
indexOfInCurrentPart(String, int) - Method in interface org.predict4all.nlp.words.correction.model.GeneratingCorrectionI
indexOfInCurrentPart(String, int) - Method in class org.predict4all.nlp.words.correction.model.SimpleGeneratingCorrection
INF_SUP - org.predict4all.nlp.Separator
INFO_EXTENSION - Static variable in class org.predict4all.nlp.trainer.corpus.AbstractTrainingDocument
initialize() - Method in interface org.predict4all.nlp.language.BaseWordDictionary
initialize() - Method in class org.predict4all.nlp.language.french.FrenchBaseWordDictionary
initialize(WordDictionary) - Method in class org.predict4all.nlp.language.french.FrenchStopWordDictionary
initialize(WordDictionary) - Method in interface org.predict4all.nlp.language.StopWordDictionary
initializeInformation() - Method in class org.predict4all.nlp.trainer.corpus.AbstractTokenTrainingDocument
initializeInformation() - Method in class org.predict4all.nlp.trainer.corpus.AbstractTrainingDocument
initializeInformation() - Method in class org.predict4all.nlp.trainer.step.ParserTrainingDocument
initStep(TrainingStep) - Method in class org.predict4all.nlp.trainer.corpus.TrainingCorpus
inputFile - Variable in class org.predict4all.nlp.trainer.corpus.AbstractTrainingDocument
insertKey(int) - Method in class org.predict4all.nlp.ngram.trie.map.TrieNodeMap: Locates the index at which val can be inserted. if there is already a value equal()ing val in the set, returns that value as a negative integer.
INSTANCE - Static variable in class org.predict4all.nlp.utils.progressindicator.NoOpProgressIndicator
INTEGER - org.predict4all.nlp.EquivalenceClass
isAddNewWordsEnabled() - Method in class org.predict4all.nlp.prediction.PredictionParameter
isBidirectionnal() - Method in class org.predict4all.nlp.words.correction.model.CorrectionRuleBuilder
isBlank(String) - Static method in class org.predict4all.nlp.utils.Predict4AllUtils
isCapitalized(String) - Static method in class org.predict4all.nlp.utils.Predict4AllUtils
isCapitalizedWord() - Method in class org.predict4all.nlp.words.WordPrefixDetected
isCaptureValue() - Method in class org.predict4all.nlp.parser.matcher.TokenRegexMatcher
isCorrection() - Method in class org.predict4all.nlp.prediction.model.AbstractPredictionToCompute
isCorrection() - Method in class org.predict4all.nlp.prediction.WordPrediction
isCorrection() - Method in class org.predict4all.nlp.words.NextWord
isDouble() - Method in class org.predict4all.nlp.prediction.model.AbstractPredictionToCompute
isDouble() - Method in class org.predict4all.nlp.prediction.model.DoublePredictionToCompute
isDouble() - Method in class org.predict4all.nlp.prediction.model.UniquePredictionToCompute
isDouble() - Method in class org.predict4all.nlp.words.NextWord
isDynamicModelEnabled() - Method in class org.predict4all.nlp.prediction.PredictionParameter
isEmpty() - Method in class org.predict4all.nlp.ngram.trie.map.TrieNodeMap: Tells whether this set is currently holding any elements.
isEmpty(String) - Static method in class org.predict4all.nlp.utils.Predict4AllUtils
isEnabled() - Method in class org.predict4all.nlp.words.correction.model.CorrectionRuleNode
isEnableDebugInformation() - Method in class org.predict4all.nlp.prediction.PredictionParameter
isEnableDistanceWordCorrection() - Method in class org.predict4all.nlp.prediction.PredictionParameter
isEnableWordCorrection() - Method in class org.predict4all.nlp.prediction.PredictionParameter
isEnableWordPredictorDebug() - Method in class org.predict4all.nlp.prediction.WordPredictor
isEquivalenceClass() - Method in class org.predict4all.nlp.parser.token.EquivalenceClassToken
isEquivalenceClass() - Method in interface org.predict4all.nlp.parser.token.Token
isEquivalenceClass() - Method in class org.predict4all.nlp.words.model.AbstractWord
isEquivalenceClass() - Method in interface org.predict4all.nlp.words.model.Word
isExactWordWithPrefixExist(String) - Method in class org.predict4all.nlp.words.WordDictionary
isForceInvalid() - Method in class org.predict4all.nlp.words.model.AbstractWord
isForceInvalid() - Method in class org.predict4all.nlp.words.model.SimpleWord
isForceInvalid() - Method in interface org.predict4all.nlp.words.model.Word
isForceValid() - Method in class org.predict4all.nlp.words.model.AbstractWord
isForceValid() - Method in class org.predict4all.nlp.words.model.SimpleWord
isForceValid() - Method in interface org.predict4all.nlp.words.model.Word
isFullUpperCase(String) - Static method in class org.predict4all.nlp.utils.Predict4AllUtils
isInitialized() - Method in interface org.predict4all.nlp.language.BaseWordDictionary
isInitialized() - Method in class org.predict4all.nlp.language.french.FrenchBaseWordDictionary
isInitialized() - Method in class org.predict4all.nlp.language.french.FrenchStopWordDictionary
isInitialized() - Method in interface org.predict4all.nlp.language.StopWordDictionary
isInsertSpacePossible() - Method in class org.predict4all.nlp.prediction.WordPrediction
isModifiedBySystem() - Method in class org.predict4all.nlp.words.model.AbstractWord
isModifiedBySystem() - Method in class org.predict4all.nlp.words.model.SimpleWord
isModifiedBySystem() - Method in interface org.predict4all.nlp.words.model.Word
isModifiedByUser() - Method in class org.predict4all.nlp.words.model.AbstractWord
isModifiedByUser() - Method in class org.predict4all.nlp.words.model.SimpleWord
isModifiedByUser() - Method in interface org.predict4all.nlp.words.model.Word
isModifiedByUserOrSystem() - Method in class org.predict4all.nlp.words.model.AbstractWord
isModifiedByUserOrSystem() - Method in class org.predict4all.nlp.words.model.SimpleWord
isModifiedByUserOrSystem() - Method in interface org.predict4all.nlp.words.model.Word
isNextWordsCapitalized(List<Token>, String, int) - Method in class org.predict4all.nlp.words.WordPrefixDetector
isNGramTag() - Method in class org.predict4all.nlp.words.model.AbstractWord
isNGramTag() - Method in class org.predict4all.nlp.words.model.TagWord
isNGramTag() - Method in interface org.predict4all.nlp.words.model.Word
isNotBlank(String) - Static method in class org.predict4all.nlp.utils.Predict4AllUtils
isNotEmpty(Collection<?>) - Static method in class org.predict4all.nlp.utils.Predict4AllUtils
isOptional() - Method in class org.predict4all.nlp.parser.matcher.TokenRegexMatcher
isOverwrite() - Method in class org.predict4all.runtime.LanguageDataModelTrainerArgs
isPredictionInitialized() - Method in class org.predict4all.nlp.prediction.model.AbstractPredictionToCompute
isSemanticModelEnabled() - Method in class org.predict4all.nlp.prediction.PredictionParameter
isSentenceSeparator() - Method in enum org.predict4all.nlp.Separator
isSeparator() - Method in class org.predict4all.nlp.parser.token.SeparatorToken
isSeparator() - Method in interface org.predict4all.nlp.parser.token.Token
isSpaceBetween() - Method in class org.predict4all.nlp.prediction.model.DoublePredictionToCompute
isTag() - Method in class org.predict4all.nlp.parser.token.TagToken
isTag() - Method in interface org.predict4all.nlp.parser.token.Token
isTokenValidToCreateUserWord(Token) - Method in class org.predict4all.nlp.words.WordDictionary
isTwoWordPredictionEnabled() - Method in class org.predict4all.nlp.prediction.PredictionParameter
isUnique() - Method in class org.predict4all.nlp.words.NextWord
isUserWord() - Method in class org.predict4all.nlp.words.model.AbstractWord
isUserWord() - Method in class org.predict4all.nlp.words.model.UserWord
isUserWord() - Method in interface org.predict4all.nlp.words.model.Word
isValidForSaving() - Method in class org.predict4all.nlp.words.model.AbstractWord
isValidForSaving() - Method in class org.predict4all.nlp.words.model.EquivalenceClassWord
isValidForSaving() - Method in class org.predict4all.nlp.words.model.TagWord
isValidForSaving() - Method in interface org.predict4all.nlp.words.model.Word
isValidToBePredicted(PredictionParameter) - Method in class org.predict4all.nlp.words.model.AbstractWord
isValidToBePredicted(PredictionParameter) - Method in class org.predict4all.nlp.words.model.EquivalenceClassWord
isValidToBePredicted(PredictionParameter) - Method in class org.predict4all.nlp.words.model.SimpleWord
isValidToBePredicted(PredictionParameter) - Method in class org.predict4all.nlp.words.model.TagWord
isValidToBePredicted(PredictionParameter) - Method in class org.predict4all.nlp.words.model.UserWord
isValidToBePredicted(PredictionParameter) - Method in interface org.predict4all.nlp.words.model.Word
isValidToPredictionContext(PredictionParameter) - Method in class org.predict4all.nlp.words.model.AbstractWord
isValidToPredictionContext(PredictionParameter) - Method in class org.predict4all.nlp.words.model.TagWord
isValidToPredictionContext(PredictionParameter) - Method in class org.predict4all.nlp.words.model.UserWord
isValidToPredictionContext(PredictionParameter) - Method in interface org.predict4all.nlp.words.model.Word
isWord() - Method in class org.predict4all.nlp.parser.token.EquivalenceClassToken
isWord() - Method in interface org.predict4all.nlp.parser.token.Token
isWord() - Method in class org.predict4all.nlp.parser.token.WordToken
isWordExists(String) - Method in class org.predict4all.nlp.words.WordDictionary

K

keys() - Method in class org.predict4all.nlp.ngram.trie.map.TrieNodeMap
keys(int[]) - Method in class org.predict4all.nlp.ngram.trie.map.TrieNodeMap

L

LanguageDataModelTrainer - Class in org.predict4all.runtime
LanguageDataModelTrainer() - Constructor for class org.predict4all.runtime.LanguageDataModelTrainer
LanguageDataModelTrainerArgs - Class in org.predict4all.runtime
LanguageDataModelTrainerArgs() - Constructor for class org.predict4all.runtime.LanguageDataModelTrainerArgs
LanguageModel - Interface in org.predict4all.nlp.language: Represent a model specific to the input language.
This model is useful to better perform on NLP task by using specific parameters from a language.
E.G.
launchLSATraining(TrainingStep) - Method in class org.predict4all.nlp.trainer.DataTrainer
launchNGramTraining(TrainingStep) - Method in class org.predict4all.nlp.trainer.DataTrainer
LBRACKET - org.predict4all.nlp.Separator
LEAF - org.predict4all.nlp.words.correction.model.CorrectionRuleNode.CorrectionRuleNodeType
length(String) - Static method in class org.predict4all.nlp.utils.Predict4AllUtils
listNextWords(int[], WordDictionary, PredictionParameter, TIntHashSet, Map<BiIntegerKey, NextWord>, int, boolean) - Method in class org.predict4all.nlp.ngram.dictionary.AbstractNGramDictionary: Will go through each ngram dictionary order to find the next possible words for a given prefix
Will first go through the highest order for the given prefix (e.g. prefix length == 3 = order is 4), and if the wantedCount is not reached, will go to the lower order to find new next possible.
listTrieLeaves(int[], int, int, int, BiConsumer<int[], Integer>) - Method in class org.predict4all.nlp.ngram.trie.DynamicNGramTrieNode: Detect each unique trie leaves for a wanted order, and then call the found callback with the found prefix and word id
load(File) - Static method in class org.predict4all.nlp.ngram.dictionary.DynamicNGramDictionary: Create and open a existing dynamic ngram dictionary.
loadDictionary(File, SemanticDictionaryConfiguration) - Static method in class org.predict4all.nlp.semantic.SemanticDictionary
loadDictionary(LanguageModel, File) - Static method in class org.predict4all.nlp.words.WordDictionary
loadFrom(File, File) - Static method in class org.predict4all.nlp.trainer.configuration.TrainingConfiguration
loadFrom(LanguageModel, File) - Static method in class org.predict4all.nlp.prediction.PredictionParameter
loadUserDictionary(File) - Method in class org.predict4all.nlp.words.WordDictionary
LoggingProgressIndicator - Class in org.predict4all.nlp.utils.progressindicator
LoggingProgressIndicator(String, long) - Constructor for class org.predict4all.nlp.utils.progressindicator.LoggingProgressIndicator
lowerCase(String) - Static method in class org.predict4all.nlp.utils.Predict4AllUtils

M

M_FRONT_MBP - org.predict4all.nlp.words.correction.DefaultCorrectionRuleGenerator.CorrectionRuleType
main(String[]) - Static method in class org.predict4all.runtime.LanguageDataModelTrainer
match(Token, TokenProvider) - Method in class org.predict4all.nlp.language.french.matcher.ApostropheMatcher
match(Token, TokenProvider) - Method in class org.predict4all.nlp.language.french.matcher.DateDayMonthMatcher
match(Token, TokenProvider) - Method in class org.predict4all.nlp.language.french.matcher.DateFullDigitMatcher
match(Token, TokenProvider) - Method in class org.predict4all.nlp.language.french.matcher.DateFullTextMatcher
match(Token, TokenProvider) - Method in class org.predict4all.nlp.language.french.matcher.DateMonthYearMatcher
match(Token, TokenProvider) - Method in class org.predict4all.nlp.language.french.matcher.DateWeekDayMatcher
match(Token, TokenProvider) - Method in class org.predict4all.nlp.language.french.matcher.NumberDecimalMatcher
match(Token, TokenProvider) - Method in class org.predict4all.nlp.language.french.matcher.NumberIntMatcher
match(Token, TokenProvider) - Method in class org.predict4all.nlp.language.french.matcher.PercentMatcher
match(Token, TokenProvider) - Method in class org.predict4all.nlp.language.french.matcher.ProperNameMatcher
match(Token, TokenProvider) - Method in class org.predict4all.nlp.language.french.matcher.SpecialWordMatcher
match(Token, TokenProvider) - Method in class org.predict4all.nlp.parser.matcher.AbstractRecursiveMatcher
match(Token, TokenProvider) - Method in interface org.predict4all.nlp.parser.matcher.TokenMatcher
MATCHERS_NGRAM_FR - Static variable in class org.predict4all.nlp.language.french.FrenchLanguageModel
MATCHERS_SEMANTIC_ANALYSIS_FR - Static variable in class org.predict4all.nlp.language.french.FrenchLanguageModel
matchRegexPattern(Token, TokenRegexMatcher, TokenProvider, int) - Static method in class org.predict4all.nlp.parser.matcher.TermMatcherUtils
maxOrder - Variable in class org.predict4all.nlp.ngram.dictionary.AbstractNGramDictionary: Max order possible to store in this dictionary.
Could be retrieved by opening the dictionary, or set by user as a limit.
MISC - org.predict4all.nlp.EquivalenceClass
modifiedBySystem - Variable in class org.predict4all.nlp.words.model.SimpleWord
modifiedByUser - Variable in class org.predict4all.nlp.words.model.SimpleWord
MONEY_AMOUNT - org.predict4all.nlp.EquivalenceClass
MONTHS - Static variable in class org.predict4all.nlp.language.french.FrenchLanguageUtils

N

NEWLINE - org.predict4all.nlp.Separator
newThread(Runnable) - Method in class org.predict4all.nlp.utils.DaemonThreadFactory
next() - Method in interface org.predict4all.nlp.parser.StringProducer
NextWord - Class in org.predict4all.nlp.words
NGRAM_COUNT_FORMAT - Static variable in class org.predict4all.nlp.ngram.dictionary.TrainingNGramDictionary
NGRAM_DICTIONARY - org.predict4all.nlp.trainer.step.TrainingStep
NGramDebugger - Interface in org.predict4all.nlp.ngram.debug: This interface can be used to check an ngram dictionary while training models.
NGramDictionaryGenerator - Class in org.predict4all.nlp.ngram: Use this generator to train an ngram model.
It will load texts from a TrainingCorpus and generate a ngram file that could be later opened with a StaticNGramTrieDictionary
NGramDictionaryGenerator(LanguageModel, TrainingConfiguration, WordDictionary) - Constructor for class org.predict4all.nlp.ngram.NGramDictionaryGenerator
NGramKey - Class in org.predict4all.nlp.ngram
NGramPruningMethod - Enum in org.predict4all.nlp.trainer.configuration
NGramTrainingDocument - Class in org.predict4all.nlp.trainer.step
NGramTrainingDocument(File, File) - Constructor for class org.predict4all.nlp.trainer.step.NGramTrainingDocument
NGramWordPredictorUtils - Class in org.predict4all.nlp.ngram: Utils class useful when predicting words with an ngram dictionaries.
NGramWordPredictorUtils(WordDictionary, PredictionParameter) - Constructor for class org.predict4all.nlp.ngram.NGramWordPredictorUtils
NODE - org.predict4all.nlp.words.correction.model.CorrectionRuleNode.CorrectionRuleNodeType
NONE - org.predict4all.nlp.trainer.configuration.NGramPruningMethod
NoOpProgressIndicator - Class in org.predict4all.nlp.utils.progressindicator
NoOpProgressIndicator() - Constructor for class org.predict4all.nlp.utils.progressindicator.NoOpProgressIndicator
normalizeRow(double[]) - Static method in class org.predict4all.nlp.semantic.SemanticDictionary
NumberDecimalMatcher - Class in org.predict4all.nlp.language.french.matcher
NumberDecimalMatcher() - Constructor for class org.predict4all.nlp.language.french.matcher.NumberDecimalMatcher
NumberIntMatcher - Class in org.predict4all.nlp.language.french.matcher
NumberIntMatcher() - Constructor for class org.predict4all.nlp.language.french.matcher.NumberIntMatcher

O

of(int) - Static method in class org.predict4all.nlp.utils.BiIntegerKey
of(int, int) - Static method in class org.predict4all.nlp.utils.BiIntegerKey
of(K, T) - Static method in class org.predict4all.nlp.utils.Pair
of(K, T, V) - Static method in class org.predict4all.nlp.utils.Triple
oneInstanceCount - Static variable in class org.predict4all.nlp.ngram.trie.map.TrieNodeMap
open(File) - Static method in class org.predict4all.nlp.ngram.dictionary.StaticNGramTrieDictionary: Create a static ngram dictionary from a given file.
OPEN_HOOK - org.predict4all.nlp.Separator
openDictionary(File) - Method in class org.predict4all.nlp.ngram.dictionary.AbstractNGramDictionary: Open a dictionary from a file.
To use the dictionary, the same WordDictionary used to save it should be used.
openDictionary(File) - Method in class org.predict4all.nlp.ngram.dictionary.DynamicNGramDictionary
openDictionary(File) - Method in class org.predict4all.nlp.ngram.dictionary.StaticNGramTrieDictionary
openDictionary(File) - Method in class org.predict4all.nlp.ngram.dictionary.TrainingNGramDictionary
opposite() - Method in class org.predict4all.nlp.words.correction.model.CorrectionRule
optional(String) - Method in class org.predict4all.nlp.parser.matcher.TokenRegexMatcher.TokenRegexMatcherBuilder
optional(Separator) - Method in class org.predict4all.nlp.parser.matcher.TokenRegexMatcher.TokenRegexMatcherBuilder
or(String...) - Method in class org.predict4all.nlp.parser.matcher.TokenRegexMatcher.TokenRegexMatcherBuilder
or(Separator...) - Method in class org.predict4all.nlp.parser.matcher.TokenRegexMatcher.TokenRegexMatcherBuilder
or(Separator, String) - Method in class org.predict4all.nlp.parser.matcher.TokenRegexMatcher.TokenRegexMatcherBuilder
ORDER_COUNT - org.predict4all.nlp.trainer.configuration.NGramPruningMethod
org.predict4all.nlp - package org.predict4all.nlp
org.predict4all.nlp.exception - package org.predict4all.nlp.exception
org.predict4all.nlp.io - package org.predict4all.nlp.io
org.predict4all.nlp.language - package org.predict4all.nlp.language
org.predict4all.nlp.language.french - package org.predict4all.nlp.language.french
org.predict4all.nlp.language.french.matcher - package org.predict4all.nlp.language.french.matcher
org.predict4all.nlp.ngram - package org.predict4all.nlp.ngram
org.predict4all.nlp.ngram.debug - package org.predict4all.nlp.ngram.debug
org.predict4all.nlp.ngram.dictionary - package org.predict4all.nlp.ngram.dictionary
org.predict4all.nlp.ngram.trie - package org.predict4all.nlp.ngram.trie
org.predict4all.nlp.ngram.trie.map - package org.predict4all.nlp.ngram.trie.map
org.predict4all.nlp.parser - package org.predict4all.nlp.parser
org.predict4all.nlp.parser.matcher - package org.predict4all.nlp.parser.matcher
org.predict4all.nlp.parser.token - package org.predict4all.nlp.parser.token
org.predict4all.nlp.prediction - package org.predict4all.nlp.prediction
org.predict4all.nlp.prediction.model - package org.predict4all.nlp.prediction.model
org.predict4all.nlp.semantic - package org.predict4all.nlp.semantic: SEMANTIC IS STILL NOT STABLE AND WIDELY TESTED.
org.predict4all.nlp.trainer - package org.predict4all.nlp.trainer
org.predict4all.nlp.trainer.configuration - package org.predict4all.nlp.trainer.configuration
org.predict4all.nlp.trainer.corpus - package org.predict4all.nlp.trainer.corpus
org.predict4all.nlp.trainer.step - package org.predict4all.nlp.trainer.step
org.predict4all.nlp.utils - package org.predict4all.nlp.utils
org.predict4all.nlp.utils.progressindicator - package org.predict4all.nlp.utils.progressindicator
org.predict4all.nlp.words - package org.predict4all.nlp.words
org.predict4all.nlp.words.correction - package org.predict4all.nlp.words.correction
org.predict4all.nlp.words.correction.model - package org.predict4all.nlp.words.correction.model
org.predict4all.nlp.words.model - package org.predict4all.nlp.words.model
org.predict4all.runtime - package org.predict4all.runtime
OTHER - org.predict4all.nlp.Separator
OUTPUT_EXTENSION - Static variable in class org.predict4all.nlp.trainer.corpus.AbstractTrainingDocument
outputFile - Variable in class org.predict4all.nlp.trainer.corpus.AbstractTrainingDocument

P

Pair<K,T> - Class in org.predict4all.nlp.utils

PARSER - org.predict4all.nlp.trainer.step.TrainingStep

ParserTrainingDocument - Class in org.predict4all.nlp.trainer.step

ParserTrainingDocument(String, File, File) - Constructor for class org.predict4all.nlp.trainer.step.ParserTrainingDocument

PatternMatched - Class in org.predict4all.nlp.parser.matcher

PatternMatched(String, Token) - Constructor for class org.predict4all.nlp.parser.matcher.PatternMatched

PatternMatched(EquivalenceClass, String, Token) - Constructor for class org.predict4all.nlp.parser.matcher.PatternMatched

PERCENT - org.predict4all.nlp.EquivalenceClass

PERCENT - org.predict4all.nlp.Separator

PERCENT_FORMAT - Static variable in class org.predict4all.nlp.trainer.DataTrainer

PERCENT_FORMAT - Static variable in class org.predict4all.nlp.words.WordDictionaryGenerator

PercentMatcher - Class in org.predict4all.nlp.language.french.matcher

PercentMatcher() - Constructor for class org.predict4all.nlp.language.french.matcher.PercentMatcher

PHONEM_CONFUSION_SET - org.predict4all.nlp.words.correction.DefaultCorrectionRuleGenerator.CorrectionRuleType

PIPE - org.predict4all.nlp.Separator

POINT - org.predict4all.nlp.Separator

postInsertHook(boolean) - Method in class org.predict4all.nlp.ngram.trie.map.TrieNodeMap

After an insert, this hook is called to adjust the size/free values of the set and to perform rehashing if necessary.

predict(String, String, int) - Method in class org.predict4all.nlp.prediction.WordPredictor

predict(String, String, int, TIntHashSet) - Method in class org.predict4all.nlp.prediction.WordPredictor

Predict4AllInfo - Class in org.predict4all.nlp

This retrieves information about the library (version and build date).
This should mostly be used to ensure consistency on saved data (i.e. save and load data from same versions)

Predict4AllInfo() - Constructor for class org.predict4all.nlp.Predict4AllInfo

Predict4AllUtils - Class in org.predict4all.nlp.utils

Contains different utils methods that are used in NLP taks.

prediction - Variable in class org.predict4all.nlp.prediction.model.AbstractPredictionToCompute

PredictionParameter - Class in org.predict4all.nlp.prediction

PredictionParameter(LanguageModel) - Constructor for class org.predict4all.nlp.prediction.PredictionParameter

probFactor - Variable in class org.predict4all.nlp.words.model.SimpleWord

progressIndicator - Variable in class org.predict4all.nlp.trainer.TrainerTask

ProgressIndicator - Interface in org.predict4all.nlp.utils.progressindicator

PROPER_NAME - org.predict4all.nlp.EquivalenceClass

ProperNameMatcher - Class in org.predict4all.nlp.language.french.matcher

ProperNameMatcher() - Constructor for class org.predict4all.nlp.language.french.matcher.ProperNameMatcher

pruneNGramsCount(int, TrainingConfiguration) - Method in class org.predict4all.nlp.ngram.dictionary.TrainingNGramDictionary

pruneNGramsOrderCount(int[], TrainingConfiguration) - Method in class org.predict4all.nlp.ngram.dictionary.TrainingNGramDictionary

pruneNGramsWeightedDifference(double, TrainingConfiguration, NGramPruningMethod) - Method in class org.predict4all.nlp.ngram.dictionary.TrainingNGramDictionary

Execute a pruning on the dictionary.
Pruning is implemented with a "weighted difference" algorithm : difference is computed between high order model and a lower order model (e.g. difference between 4-gram - 3gram, then 3-gram - 2-gram) and if the difference is bellow a certain level (threshold), the high order model is deleted.
Difference pruning is executed for max order to bigram level, probabilities are computed again after the pruning.

pruningCountingNGram(int, int, int) - Method in class org.predict4all.nlp.ngram.trie.DynamicNGramTrieNode

put(int, V) - Method in class org.predict4all.nlp.ngram.trie.map.TrieNodeMap

putAll(Map<? extends Integer, ? extends V>) - Method in class org.predict4all.nlp.ngram.trie.map.TrieNodeMap

putAndIncrementBy(int[], int) - Method in class org.predict4all.nlp.ngram.dictionary.AbstractNGramDictionary

Add a given ngram to the dictionary and to increment its count.
If the ngram is already in the dictionary, will just increment its count.
This will call AbstractNGramDictionary.putAndIncrementBy(int[], int, int) with a index = 0

putAndIncrementBy(int[], int) - Method in class org.predict4all.nlp.ngram.dictionary.StaticNGramTrieDictionary

putAndIncrementBy(int[], int) - Method in class org.predict4all.nlp.ngram.dictionary.TrainingNGramDictionary

putAndIncrementBy(int[], int, int) - Method in class org.predict4all.nlp.ngram.dictionary.AbstractNGramDictionary

Add a given ngram to the dictionary and to increment its count.
If the ngram is already in the dictionary, will just increment its count.

putAndIncrementBy(int[], int, int) - Method in class org.predict4all.nlp.ngram.dictionary.StaticNGramTrieDictionary

putAndIncrementBy(int[], int, int) - Method in class org.predict4all.nlp.ngram.dictionary.TrainingNGramDictionary

putAndIncrementBy(int[], int, int) - Method in class org.predict4all.nlp.ngram.trie.DynamicNGramTrieNode

Put a ngram into this trie structure, create node if needed, and increment the existing one.

putIfAbsent(int, V) - Method in class org.predict4all.nlp.ngram.trie.map.TrieNodeMap

putUserWord(String) - Method in class org.predict4all.nlp.words.WordDictionary

putUserWord(Token) - Method in class org.predict4all.nlp.words.WordDictionary

putWordTraining(String) - Method in class org.predict4all.nlp.words.WordDictionary

Q

QUESTION - org.predict4all.nlp.Separator

QUOTE - org.predict4all.nlp.Separator

R

RAW_COUNT - org.predict4all.nlp.trainer.configuration.NGramPruningMethod

RBRACKET - org.predict4all.nlp.Separator

readAllChildren(FileChannel, int) - Method in class org.predict4all.nlp.ngram.trie.DynamicNGramTrieNode

Read all children from a given file channel, then load recursively all the children.

readDictionaryInformation(ByteBuffer) - Method in class org.predict4all.nlp.ngram.dictionary.AbstractNGramDictionary

Read the general information for this dictionary from a given buffer (doesn't do any check)

readFrom(String) - Static method in class org.predict4all.nlp.words.correction.model.CorrectionRuleBuilder

readNodeInformation(ByteBuffer) - Method in class org.predict4all.nlp.ngram.trie.DynamicNGramTrieNode

Read this node information from a given buffer.

readNodeInformation(ByteBuffer) - Method in class org.predict4all.nlp.ngram.trie.StaticNGramTrieNode

Read the node information contained into the given buffer to this node (without any check).

readToken() - Method in class org.predict4all.nlp.io.TokenFileInputStream

readWord() - Method in class org.predict4all.nlp.io.WordFileInputStream

rehash(int) - Method in class org.predict4all.nlp.ngram.trie.map.TrieNodeMap

remove(int) - Method in class org.predict4all.nlp.ngram.trie.map.TrieNodeMap

REMOVE_LETTER - org.predict4all.nlp.words.correction.DefaultCorrectionRuleGenerator.CorrectionRuleType

removeAt(int) - Method in class org.predict4all.nlp.ngram.trie.map.TrieNodeMap

Delete the record at index.

REMOVED - Static variable in class org.predict4all.nlp.ngram.trie.map.TrieNodeMap

flag indicating that the value of a slot in the hashtable was deleted

retainEntries(TIntObjectProcedure<? super V>) - Method in class org.predict4all.nlp.ngram.trie.map.TrieNodeMap

rootNode - Variable in class org.predict4all.nlp.ngram.dictionary.AbstractNGramDictionary

Root node of this dictionary (this node contains as children the whole vocabulary)

ruleBuilder() - Static method in class org.predict4all.nlp.words.correction.model.CorrectionRuleBuilder

run() - Method in class org.predict4all.nlp.trainer.TrainerTask

S

saveDictionary(File) - Method in class org.predict4all.nlp.ngram.dictionary.AbstractNGramDictionary

Save this dictionary to a file.
Will save the dictionary relative with id only, this means that the same word dictionary should be loaded if this dictionary is opened later.

saveDictionary(File) - Method in class org.predict4all.nlp.ngram.dictionary.StaticNGramTrieDictionary

saveDictionary(File) - Method in class org.predict4all.nlp.ngram.dictionary.TrainingNGramDictionary

saveTo(File) - Method in class org.predict4all.nlp.prediction.PredictionParameter

saveTo(File) - Method in class org.predict4all.nlp.trainer.configuration.TrainingConfiguration

saveUserDictionary(File) - Method in class org.predict4all.nlp.words.WordDictionary

SEMANTIC_DICTIONARY - org.predict4all.nlp.trainer.step.TrainingStep

SemanticDictionary - Class in org.predict4all.nlp.semantic

Represents a semantic dictionary to be used to predict next words.
WARNING : THIS IS A WIP

SemanticDictionaryConfiguration - Interface in org.predict4all.nlp.semantic

SemanticDictionaryGenerator - Class in org.predict4all.nlp.semantic

To generate a SemanticDictionary from an input corpus.
This creates a term x term matrix and then reduces it with SVD (via an optimized R script, "Rscript" should be available in path).

SemanticDictionaryGenerator(LanguageModel, WordDictionary, TrainingConfiguration) - Constructor for class org.predict4all.nlp.semantic.SemanticDictionaryGenerator

SemanticTrainingDocument - Class in org.predict4all.nlp.trainer.step

SemanticTrainingDocument(File, File) - Constructor for class org.predict4all.nlp.trainer.step.SemanticTrainingDocument

SEMICOLON - org.predict4all.nlp.Separator

Separator - Enum in org.predict4all.nlp

Represent chars between words.
This is preferred to regex pattern because separator are fully controlled.
If you add any new separator, watch the last used id

SeparatorToken - Class in org.predict4all.nlp.parser.token

SeparatorToken(Separator) - Constructor for class org.predict4all.nlp.parser.token.SeparatorToken

SEQUENCES - org.predict4all.nlp.words.correction.DefaultCorrectionRuleGenerator.CorrectionRuleType

setAddNewWordsEnabled(boolean) - Method in class org.predict4all.nlp.prediction.PredictionParameter

setBaseWordDictionaryPath(String) - Method in class org.predict4all.nlp.trainer.configuration.TrainingConfiguration

setConvertCaseFromDictionaryModelThreshold(double) - Method in class org.predict4all.nlp.trainer.configuration.TrainingConfiguration

setCorrectionDefaultCost(double) - Method in class org.predict4all.nlp.prediction.PredictionParameter

setCorrectionDefaultFactor(double) - Method in class org.predict4all.nlp.prediction.PredictionParameter

setCorrectionDoubleWordLeftMinFrequency(double) - Method in class org.predict4all.nlp.prediction.PredictionParameter

setCorrectionMaxCost(double) - Method in class org.predict4all.nlp.prediction.PredictionParameter

setCorrectionRule(CorrectionRuleBuilder) - Method in class org.predict4all.nlp.words.correction.model.CorrectionRuleNode

setCorrectionRulesRoot(CorrectionRuleNode) - Method in class org.predict4all.nlp.prediction.PredictionParameter

setCurrentPart(StringBuilder) - Method in class org.predict4all.nlp.words.correction.model.GeneratingCorrection

setDebugPrefix(String) - Method in class org.predict4all.nlp.ngram.NGramDictionaryGenerator

setDebugPrefix(String) - Method in class org.predict4all.nlp.trainer.DataTrainer

setDirectlyValidWordCountThreshold(int) - Method in class org.predict4all.nlp.trainer.configuration.TrainingConfiguration

setDynamicModelEnabled(boolean) - Method in class org.predict4all.nlp.prediction.PredictionParameter

setDynamicModelMinimumWeight(double) - Method in class org.predict4all.nlp.prediction.PredictionParameter

setEnabled(boolean) - Method in class org.predict4all.nlp.words.correction.model.CorrectionRuleNode

setEnableDebugInformation(boolean) - Method in class org.predict4all.nlp.prediction.PredictionParameter

setEnableDistanceWordCorrection(boolean) - Method in class org.predict4all.nlp.prediction.PredictionParameter

setEnableWordCorrection(boolean) - Method in class org.predict4all.nlp.prediction.PredictionParameter

setEnableWordPredictorDebug(boolean) - Method in class org.predict4all.nlp.prediction.WordPredictor

setEndFactor(double) - Method in class org.predict4all.nlp.words.correction.model.GeneratingCorrection

setForceInvalid(boolean, boolean) - Method in class org.predict4all.nlp.words.model.AbstractWord

setForceInvalid(boolean, boolean) - Method in class org.predict4all.nlp.words.model.SimpleWord

setForceInvalid(boolean, boolean) - Method in interface org.predict4all.nlp.words.model.Word

setForceValid(boolean, boolean) - Method in class org.predict4all.nlp.words.model.AbstractWord

setForceValid(boolean, boolean) - Method in class org.predict4all.nlp.words.model.SimpleWord

setForceValid(boolean, boolean) - Method in interface org.predict4all.nlp.words.model.Word

setLanguageModel(LanguageModel) - Method in class org.predict4all.nlp.prediction.PredictionParameter

setLsaDensitySize(int) - Method in class org.predict4all.nlp.trainer.configuration.TrainingConfiguration

setLsaFrequentWordSize(int) - Method in class org.predict4all.nlp.trainer.configuration.TrainingConfiguration

setLsaTargetSvdSize(int) - Method in class org.predict4all.nlp.trainer.configuration.TrainingConfiguration

setLsaVocabularySize(int) - Method in class org.predict4all.nlp.trainer.configuration.TrainingConfiguration

setLsaWindowSize(int) - Method in class org.predict4all.nlp.trainer.configuration.TrainingConfiguration

setMinCountToProvideCorrection(int) - Method in class org.predict4all.nlp.prediction.PredictionParameter

setMinCountToProvidePrediction(int) - Method in class org.predict4all.nlp.prediction.PredictionParameter

setMinUseCountToValidateNewWord(int) - Method in class org.predict4all.nlp.prediction.PredictionParameter

setModifiedBySystem(boolean) - Method in class org.predict4all.nlp.words.model.AbstractWord

setModifiedBySystem(boolean) - Method in interface org.predict4all.nlp.words.model.Word

setModifiedByUser(boolean) - Method in class org.predict4all.nlp.words.model.AbstractWord

setModifiedByUser(boolean) - Method in class org.predict4all.nlp.words.model.SimpleWord

setModifiedByUser(boolean) - Method in interface org.predict4all.nlp.words.model.Word

setName(String) - Method in class org.predict4all.nlp.words.correction.model.CorrectionRuleNode

setNgramDebugAfterPruning(NGramDebugger) - Method in class org.predict4all.nlp.ngram.NGramDictionaryGenerator

setNgramDebugAfterPruning(NGramDebugger) - Method in class org.predict4all.nlp.trainer.DataTrainer

setNgramDebugBeforePruning(NGramDebugger) - Method in class org.predict4all.nlp.ngram.NGramDictionaryGenerator

setNgramDebugBeforePruning(NGramDebugger) - Method in class org.predict4all.nlp.trainer.DataTrainer

setNgramMaxLastTextLength(int) - Method in class org.predict4all.nlp.prediction.PredictionParameter

setNgramMaxLastTokenCountFactor(int) - Method in class org.predict4all.nlp.prediction.PredictionParameter

setNgramOrder(int) - Method in class org.predict4all.nlp.trainer.configuration.TrainingConfiguration

setNgramPruningCountThreshold(int) - Method in class org.predict4all.nlp.trainer.configuration.TrainingConfiguration

setNgramPruningOrderCountThresholds(int[]) - Method in class org.predict4all.nlp.trainer.configuration.TrainingConfiguration

setNgramPruningWeightedDifferenceThreshold(double) - Method in class org.predict4all.nlp.trainer.configuration.TrainingConfiguration

setPrefixSearchMaxTokenCount(int) - Method in class org.predict4all.nlp.prediction.PredictionParameter

setProbFactor(double, boolean) - Method in class org.predict4all.nlp.words.model.AbstractWord

setProbFactor(double, boolean) - Method in class org.predict4all.nlp.words.model.SimpleWord

setProbFactor(double, boolean) - Method in interface org.predict4all.nlp.words.model.Word

setPruningMethod(NGramPruningMethod) - Method in class org.predict4all.nlp.trainer.configuration.TrainingConfiguration

setScore(double) - Method in class org.predict4all.nlp.prediction.model.AbstractPredictionToCompute

setSemanticContrastFactor(double) - Method in class org.predict4all.nlp.prediction.PredictionParameter

setSemanticDensityMaxBound(double) - Method in class org.predict4all.nlp.prediction.PredictionParameter

setSemanticDensityMinBound(double) - Method in class org.predict4all.nlp.prediction.PredictionParameter

setSemanticInputContextSize(int) - Method in class org.predict4all.nlp.prediction.PredictionParameter

setSemanticModelEnabled(boolean) - Method in class org.predict4all.nlp.prediction.PredictionParameter

setSmoothingDiscountValue(double) - Method in class org.predict4all.nlp.trainer.configuration.TrainingConfiguration

setSmoothingDiscountValueLowerBound(double) - Method in class org.predict4all.nlp.trainer.configuration.TrainingConfiguration

setSmoothingDiscountValueUpperBound(double) - Method in class org.predict4all.nlp.trainer.configuration.TrainingConfiguration

setStopWordDictionaryPath(String) - Method in class org.predict4all.nlp.trainer.configuration.TrainingConfiguration

setTranslationProvider(DefaultCorrectionRuleGenerator.TranslationProvider) - Static method in class org.predict4all.nlp.words.correction.DefaultCorrectionRuleGenerator

setTwoWordPredictionEnabled(boolean) - Method in class org.predict4all.nlp.prediction.PredictionParameter

setUnknownWordCountThreshold(int) - Method in class org.predict4all.nlp.trainer.configuration.TrainingConfiguration

setUp(int) - Method in class org.predict4all.nlp.ngram.trie.map.TrieNodeMap

initializes the hashtable to a prime capacity which is at least initialCapacity + 1.

setUpperCaseReplacementThreshold(double) - Method in class org.predict4all.nlp.trainer.configuration.TrainingConfiguration

SimpleGeneratingCorrection - Class in org.predict4all.nlp.words.correction.model

SimpleGeneratingCorrection(String, boolean) - Constructor for class org.predict4all.nlp.words.correction.model.SimpleGeneratingCorrection

SimpleWord - Class in org.predict4all.nlp.words.model

SimpleWord(int, String) - Constructor for class org.predict4all.nlp.words.model.SimpleWord

SimpleWord(int, String, boolean, boolean, double, boolean, boolean) - Constructor for class org.predict4all.nlp.words.model.SimpleWord

SingleThreadDoubleAdder - Class in org.predict4all.nlp.utils

Similar to DoubleAdder but for a single threaded usage.
Just a simple double reference without any overhead.

SingleThreadDoubleAdder(double) - Constructor for class org.predict4all.nlp.utils.SingleThreadDoubleAdder

size() - Method in class org.predict4all.nlp.ngram.trie.map.TrieNodeMap

Returns the number of distinct elements in this collection.

size() - Method in interface org.predict4all.nlp.parser.StringProducer

size() - Method in class org.predict4all.nlp.utils.FifoSet

size() - Method in class org.predict4all.nlp.words.WordDictionary

SLASH - org.predict4all.nlp.Separator

SPACE - org.predict4all.nlp.Separator

SpecialWordMatcher - Class in org.predict4all.nlp.language.french.matcher

SpecialWordMatcher() - Constructor for class org.predict4all.nlp.language.french.matcher.SpecialWordMatcher

start() - Static method in class org.predict4all.nlp.parser.matcher.TokenRegexMatcher.TokenRegexMatcherBuilder

START - org.predict4all.nlp.Tag

startsWith(String) - Method in class org.predict4all.nlp.words.model.AbstractWord

startsWith(String) - Method in interface org.predict4all.nlp.words.model.Word

STATIC_TRIE_NODE_SIZE_BYTE - Static variable in class org.predict4all.nlp.ngram.trie.AbstractNGramTrieNode

Static node byte size (3 integer, 2 double).
Integer : word id, children size, children position.
Double : frequency, backoff weight.

StaticNGramTrieDictionary - Class in org.predict4all.nlp.ngram.dictionary

Represent a static ngram dictionary where trie node are loaded "on demand" while browsing through the nodes.

This dictionary is read only and cannot be updated or saved : methods like StaticNGramTrieDictionary.updateProbabilities(double[]), StaticNGramTrieDictionary.putAndIncrementBy(int[], int) are not supported by this dictionary.

StaticNGramTrieDictionary() - Constructor for class org.predict4all.nlp.ngram.dictionary.StaticNGramTrieDictionary

StaticNGramTrieNode - Class in org.predict4all.nlp.ngram.trie

Represent a static ngram trie node : when node are used only to retrieve information and compute probabilities, but children are never updated.
This node is particular because children node are loaded on demand from a FileChannel.
This node is produced in a read only version : to create this node, DynamicNGramTrieNode and TrainingNGramDictionary should be used.

StaticNGramTrieNode() - Constructor for class org.predict4all.nlp.ngram.trie.StaticNGramTrieNode

StopWordDictionary - Interface in org.predict4all.nlp.language

A language specific dictionary : contains every stop words for a language

strEquals(String, String) - Static method in class org.predict4all.nlp.utils.Predict4AllUtils

strEqualsIgnoreCase(String, String) - Static method in class org.predict4all.nlp.utils.Predict4AllUtils

StringProducer - Interface in org.predict4all.nlp.parser

strSplit(String, String) - Static method in class org.predict4all.nlp.utils.Predict4AllUtils

substringInCurrentPart(int, int) - Method in interface org.predict4all.nlp.words.correction.model.GeneratingCorrectionI

substringInCurrentPart(int, int) - Method in class org.predict4all.nlp.words.correction.model.SimpleGeneratingCorrection

sum() - Method in class org.predict4all.nlp.utils.SingleThreadDoubleAdder

T

TAB - org.predict4all.nlp.Separator

Tag - Enum in org.predict4all.nlp

Represent a specific value in a corpus.
Useful to tag specific part of the corpus without any semantic information.
START : represent a sentence start UNKNOWN : represent a word/expression out of vocabulary

TagToken - Class in org.predict4all.nlp.parser.token

TagWord - Class in org.predict4all.nlp.words.model

TagWord(Tag) - Constructor for class org.predict4all.nlp.words.model.TagWord

TermMatcherUtils - Class in org.predict4all.nlp.parser.matcher

testAll() - Method in class org.predict4all.nlp.ngram.trie.map.TrieNodeMap

then(String) - Method in class org.predict4all.nlp.parser.matcher.TokenRegexMatcher.TokenRegexMatcherBuilder

then(Separator) - Method in class org.predict4all.nlp.parser.matcher.TokenRegexMatcher.TokenRegexMatcherBuilder

Token - Interface in org.predict4all.nlp.parser.token

Represent the lowest unit when parsing a text.

TOKEN_CONVERT - org.predict4all.nlp.trainer.step.TrainingStep

TOKEN_COUNT_FORMAT - Static variable in class org.predict4all.nlp.parser.Tokenizer

TokenAppender - Interface in org.predict4all.nlp.parser

TokenConverter - Class in org.predict4all.nlp.parser.matcher

This token converter will convert input token list to another token list, with matched TokenMatcher pattern.

TokenConverter(TokenMatcher[]) - Constructor for class org.predict4all.nlp.parser.matcher.TokenConverter

TokenConverterTrainingDocument - Class in org.predict4all.nlp.trainer.step

TokenConverterTrainingDocument(File, File) - Constructor for class org.predict4all.nlp.trainer.step.TokenConverterTrainingDocument

TokenFileInputStream - Class in org.predict4all.nlp.io

TokenFileInputStream(File) - Constructor for class org.predict4all.nlp.io.TokenFileInputStream

TokenFileOutputStream - Class in org.predict4all.nlp.io

TokenFileOutputStream(File) - Constructor for class org.predict4all.nlp.io.TokenFileOutputStream

tokenize(String) - Method in class org.predict4all.nlp.parser.Tokenizer

tokenize(TrainingCorpus) - Method in class org.predict4all.nlp.parser.Tokenizer

Tokenizer - Class in org.predict4all.nlp.parser

This takes a raw text and to create tokens from it.

Tokenizer(LanguageModel) - Constructor for class org.predict4all.nlp.parser.Tokenizer

TokenListAppender - Class in org.predict4all.nlp.parser

TokenListAppender(List<Token>) - Constructor for class org.predict4all.nlp.parser.TokenListAppender

TokenListProvider - Class in org.predict4all.nlp.parser

TokenListProvider(Collection<Token>) - Constructor for class org.predict4all.nlp.parser.TokenListProvider

TokenMatcher - Interface in org.predict4all.nlp.parser.matcher

Represent a matcher that will try to detect if a given token match a specific pattern.
If so, the PatternMatched contains the the normalized representation of the matched tokens and eventually an EquivalenceClass.

TokenProvider - Interface in org.predict4all.nlp.parser

TokenRegexMatcher - Class in org.predict4all.nlp.parser.matcher

TokenRegexMatcher.TokenRegexMatcherBuilder - Class in org.predict4all.nlp.parser.matcher

TokenRegexMatcherBuilder() - Constructor for class org.predict4all.nlp.parser.matcher.TokenRegexMatcher.TokenRegexMatcherBuilder

TokenRegexResult - Class in org.predict4all.nlp.parser.matcher

TokenRegexResult(Token, List<String>) - Constructor for class org.predict4all.nlp.parser.matcher.TokenRegexResult

toPrimitive(Integer[]) - Static method in class org.predict4all.nlp.utils.Predict4AllUtils

toString() - Method in class org.predict4all.nlp.ngram.trie.map.TrieNodeMap

toString() - Method in class org.predict4all.nlp.prediction.WordPrediction

toString() - Method in class org.predict4all.nlp.utils.Pair

toString() - Method in class org.predict4all.nlp.utils.Triple

toString() - Method in class org.predict4all.nlp.words.correction.model.CorrectionRule

toString() - Method in class org.predict4all.nlp.words.correction.model.CorrectionRuleBuilder

toString() - Method in class org.predict4all.nlp.words.correction.model.CorrectionRuleNode

toString() - Method in class org.predict4all.nlp.words.correction.model.GeneratingCorrection

toString() - Method in class org.predict4all.nlp.words.correction.model.SimpleGeneratingCorrection

toString() - Method in class org.predict4all.nlp.words.model.AbstractWord

toString() - Method in class org.predict4all.nlp.words.model.UserWord

toString() - Method in class org.predict4all.nlp.words.NextWord

toString() - Method in class org.predict4all.nlp.words.WordPrefixDetected

trainDynamicModel(String, boolean) - Method in class org.predict4all.nlp.prediction.WordPredictor

TrainerTask - Class in org.predict4all.nlp.trainer

TrainerTask(ProgressIndicator, AbstractTrainingDocument) - Constructor for class org.predict4all.nlp.trainer.TrainerTask

TrainingConfiguration - Class in org.predict4all.nlp.trainer.configuration

TrainingCorpus - Class in org.predict4all.nlp.trainer.corpus

TrainingCorpus(int, File, File, String) - Constructor for class org.predict4all.nlp.trainer.corpus.TrainingCorpus

TrainingNGramDictionary - Class in org.predict4all.nlp.ngram.dictionary

Represent a training dictionary : a ngram dictionary used while training an ngram model.
This dictionary is useful because it supports dynamic insertion and probabilities computing...

TrainingNGramDictionary(int) - Constructor for class org.predict4all.nlp.ngram.dictionary.TrainingNGramDictionary

TrainingNGramDictionary(DynamicNGramTrieNode, int) - Constructor for class org.predict4all.nlp.ngram.dictionary.TrainingNGramDictionary

TrainingStep - Enum in org.predict4all.nlp.trainer.step

Represent the possible training steps.
This allow training to be stopped and started again at a specific step : going to converted tokens, and then running WORDS_DICTIONARY multiple times.

transformValues(TObjectFunction<V, V>) - Method in class org.predict4all.nlp.ngram.trie.map.TrieNodeMap

transitive(CorrectionRule, CorrectionRule) - Static method in class org.predict4all.nlp.words.correction.model.CorrectionRule

transitivePossible(CorrectionRule) - Method in class org.predict4all.nlp.words.correction.model.CorrectionRule

translate(String, Object...) - Method in interface org.predict4all.nlp.words.correction.DefaultCorrectionRuleGenerator.TranslationProvider

TrieNodeMap<V> - Class in org.predict4all.nlp.ngram.trie.map

Custom implementation copied from TIntObjectHashMap but with less attribute to reduce the heap size in Trie.
Source is copied from class hierarchy (with manually merging methods): THash TPrimitiveHash TIntHash TIntObjectHashMap The implementation is modified to keep the minimum attribute count on this Map because this TrieNodeMap will be created a lot of time !

TrieNodeMap() - Constructor for class org.predict4all.nlp.ngram.trie.map.TrieNodeMap

Creates a new THash instance with a prime capacity at or near the minimum needed to hold initialCapacity elements with load factor loadFactor without triggering a rehash.

TrieNodeMapConstant - Class in org.predict4all.nlp.ngram.trie.map

TrieNodeMapConstant() - Constructor for class org.predict4all.nlp.ngram.trie.map.TrieNodeMapConstant

trimToSize() - Method in class org.predict4all.nlp.ngram.trie.map.TrieNodeMap

This simply calls compact.

Triple<K,T,V> - Class in org.predict4all.nlp.utils

TWO_DIGIT_FORMAT_ALWAYS - Static variable in class org.predict4all.nlp.language.french.FrenchLanguageUtils

TWO_DIGIT_FORMAT_SOMETIMES - Static variable in class org.predict4all.nlp.language.french.FrenchLanguageUtils

TWOPOINT - org.predict4all.nlp.Separator

TYPE_EQUIVALENCE_CLASS - Static variable in interface org.predict4all.nlp.parser.token.Token

TYPE_EQUIVALENCE_CLASS - Static variable in interface org.predict4all.nlp.words.model.Word

TYPE_NGRAM_TAG - Static variable in interface org.predict4all.nlp.words.model.Word

TYPE_SEPARATOR - Static variable in interface org.predict4all.nlp.parser.token.Token

TYPE_SIMPLE - Static variable in interface org.predict4all.nlp.words.model.Word

TYPE_TAG - Static variable in interface org.predict4all.nlp.parser.token.Token

TYPE_USER_WORD - Static variable in interface org.predict4all.nlp.words.model.Word

TYPE_WORD - Static variable in interface org.predict4all.nlp.parser.token.Token

U

uncapitalize(String) - Static method in class org.predict4all.nlp.utils.Predict4AllUtils

UniquePredictionToCompute - Class in org.predict4all.nlp.prediction.model

UniquePredictionToCompute(int, double, boolean, StringBuilder) - Constructor for class org.predict4all.nlp.prediction.model.UniquePredictionToCompute

UNKNOWN - org.predict4all.nlp.Tag

updateProbabilities(double[]) - Method in class org.predict4all.nlp.ngram.dictionary.AbstractNGramDictionary

Update the whole probabilities in this dictionary.
Can take a while if there is a lot of nodes in the dictionary.

updateProbabilities(double[]) - Method in class org.predict4all.nlp.ngram.dictionary.StaticNGramTrieDictionary

updateProbabilities(double[]) - Method in class org.predict4all.nlp.ngram.dictionary.TrainingNGramDictionary

updateProbabilities(int[], int, double[]) - Method in class org.predict4all.nlp.ngram.dictionary.AbstractNGramDictionary

Update probabilities in this dictionary for a specific ngram prefix : this will update the probabilities of the prefix children, and update the backoff weight of the parent node.
This is much more optimized than AbstractNGramDictionary.updateProbabilities(double[])

updateProbabilities(int[], int, double[]) - Method in class org.predict4all.nlp.ngram.dictionary.StaticNGramTrieDictionary

updateProbabilities(int[], int, double[]) - Method in class org.predict4all.nlp.ngram.dictionary.TrainingNGramDictionary

upperCase(String) - Static method in class org.predict4all.nlp.utils.Predict4AllUtils

UserWord - Class in org.predict4all.nlp.words.model

UserWord(int, String) - Constructor for class org.predict4all.nlp.words.model.UserWord

UserWord(int, String, double, boolean, boolean, long, int) - Constructor for class org.predict4all.nlp.words.model.UserWord

V

valueOf(String) - Static method in enum org.predict4all.nlp.EquivalenceClass

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.predict4all.nlp.Separator

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.predict4all.nlp.Tag

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.predict4all.nlp.trainer.configuration.NGramPruningMethod

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.predict4all.nlp.trainer.step.TrainingStep

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.predict4all.nlp.words.correction.DefaultCorrectionRuleGenerator.CorrectionRuleType

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.predict4all.nlp.words.correction.model.CorrectionRuleNode.CorrectionRuleNodeType

Returns the enum constant of this type with the specified name.

values() - Static method in enum org.predict4all.nlp.EquivalenceClass

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Method in class org.predict4all.nlp.ngram.trie.map.TrieNodeMap

values() - Static method in enum org.predict4all.nlp.Separator

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.predict4all.nlp.Tag

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.predict4all.nlp.trainer.configuration.NGramPruningMethod

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.predict4all.nlp.trainer.step.TrainingStep

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.predict4all.nlp.words.correction.DefaultCorrectionRuleGenerator.CorrectionRuleType

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.predict4all.nlp.words.correction.model.CorrectionRuleNode.CorrectionRuleNodeType

Returns an array containing the constants of this enum type, in the order they are declared.

values(V[]) - Method in class org.predict4all.nlp.ngram.trie.map.TrieNodeMap

VERSION - Static variable in class org.predict4all.nlp.Predict4AllInfo

VISUAL_CONFUSION - org.predict4all.nlp.words.correction.DefaultCorrectionRuleGenerator.CorrectionRuleType

W

WEEK_DAYS - Static variable in class org.predict4all.nlp.language.french.FrenchLanguageUtils

WEIGHTED_DIFFERENCE_FULL_PROB - org.predict4all.nlp.trainer.configuration.NGramPruningMethod

WEIGHTED_DIFFERENCE_RAW_PROB - org.predict4all.nlp.trainer.configuration.NGramPruningMethod

withBidirectionnal(boolean) - Method in class org.predict4all.nlp.words.correction.model.CorrectionRuleBuilder

withConfusionSet(String...) - Method in class org.predict4all.nlp.words.correction.model.CorrectionRuleBuilder

withCost(double) - Method in class org.predict4all.nlp.words.correction.model.CorrectionRuleBuilder

withError(String...) - Method in class org.predict4all.nlp.words.correction.model.CorrectionRuleBuilder

withFactor(double) - Method in class org.predict4all.nlp.words.correction.model.CorrectionRuleBuilder

withMaxIndexFromEnd(int) - Method in class org.predict4all.nlp.words.correction.model.CorrectionRuleBuilder

withMaxIndexFromStart(int) - Method in class org.predict4all.nlp.words.correction.model.CorrectionRuleBuilder

withMinIndexFromEnd(int) - Method in class org.predict4all.nlp.words.correction.model.CorrectionRuleBuilder

withMinIndexFromStart(int) - Method in class org.predict4all.nlp.words.correction.model.CorrectionRuleBuilder

withNgramCounts(Map<Integer, Pair<Integer, Integer>>) - Method in class org.predict4all.nlp.trainer.DataTrainerResult.Builder

withReplacement(String...) - Method in class org.predict4all.nlp.words.correction.model.CorrectionRuleBuilder

word - Variable in class org.predict4all.nlp.words.model.SimpleWord

Word - Interface in org.predict4all.nlp.words.model

Represent a word stored in a WordDictionary - word are stored with a int ID to optimize memory usage.

WORD_ENDINGS - org.predict4all.nlp.words.correction.DefaultCorrectionRuleGenerator.CorrectionRuleType

WORD_SPACE_APOSTROPHE - org.predict4all.nlp.words.correction.DefaultCorrectionRuleGenerator.CorrectionRuleType

WordCorrectionGenerator - Class in org.predict4all.nlp.words.correction

Idées inversion à distance de 2 = "renuméré" Gestion des inversions

WordCorrectionGenerator(WordDictionary, AbstractNGramDictionary<? extends AbstractNGramTrieNode<?>>, PredictionParameter) - Constructor for class org.predict4all.nlp.words.correction.WordCorrectionGenerator

WordDictionary - Class in org.predict4all.nlp.words

Represent a word dictionary.
This dictionary identify each sequence of chars as an unique "word" and keep information for this word (frequency, etc...)

WordDictionary(LanguageModel, String) - Constructor for class org.predict4all.nlp.words.WordDictionary

WordDictionaryGenerator - Class in org.predict4all.nlp.words

This will generate a word dictionary from a TrainingCorpus : this will detect different word in training corpus and try to filter out words : match lower/upper case words, filter on a BaseWordDictionary, exclude low count words, etc.

WordDictionaryGenerator(LanguageModel, TrainingConfiguration) - Constructor for class org.predict4all.nlp.words.WordDictionaryGenerator

WordDictionaryMatchingException - Exception in org.predict4all.nlp.exception

This exception is mainly thrown if an user dictionary is loaded but is was saved from a previous dictionary.

WordDictionaryMatchingException() - Constructor for exception org.predict4all.nlp.exception.WordDictionaryMatchingException

WordDictionaryTrainingDocument - Class in org.predict4all.nlp.trainer.step

WordDictionaryTrainingDocument(File, File) - Constructor for class org.predict4all.nlp.trainer.step.WordDictionaryTrainingDocument

WordFileInputStream - Class in org.predict4all.nlp.io

WordFileInputStream(File) - Constructor for class org.predict4all.nlp.io.WordFileInputStream

WordFileOutputStream - Class in org.predict4all.nlp.io

WordFileOutputStream(File) - Constructor for class org.predict4all.nlp.io.WordFileOutputStream

WordPrediction - Class in org.predict4all.nlp.prediction

WordPrediction(String, String, boolean, double, int, boolean, int, String) - Constructor for class org.predict4all.nlp.prediction.WordPrediction

WordPredictionResult - Class in org.predict4all.nlp.prediction

WordPredictionResult(String, int, List<WordPrediction>) - Constructor for class org.predict4all.nlp.prediction.WordPredictionResult

WordPredictor - Class in org.predict4all.nlp.prediction

WordPredictor(PredictionParameter, WordDictionary, AbstractNGramDictionary<? extends AbstractNGramTrieNode<?>>) - Constructor for class org.predict4all.nlp.prediction.WordPredictor

WordPredictor(PredictionParameter, WordDictionary, AbstractNGramDictionary<? extends AbstractNGramTrieNode<?>>, AbstractNGramDictionary<? extends AbstractNGramTrieNode<?>>, SemanticDictionary) - Constructor for class org.predict4all.nlp.prediction.WordPredictor

WordPrefixDetected - Class in org.predict4all.nlp.words

Contains information about a started word (found in dictionary)

WordPrefixDetected(String, int, Map<BiIntegerKey, NextWord>, boolean) - Constructor for class org.predict4all.nlp.words.WordPrefixDetected

WordPrefixDetector - Class in org.predict4all.nlp.words

Useful to detect if a existing word is started in a token list.
It's important to detect if a word is already started when predicting next word, because the prediction result should always takes care of giving prediction result that starts like the already started word.

Because word are allowed to have word separator inside (hyphen, etc...), started word detection is much more complicated that just checking if the token list ends with a token separator.

WordPrefixDetector(WordDictionary, WordCorrectionGenerator, PredictionParameter) - Constructor for class org.predict4all.nlp.words.WordPrefixDetector

WORDS_DICTIONARY - org.predict4all.nlp.trainer.step.TrainingStep

WordToken - Class in org.predict4all.nlp.parser.token

WordToken(String) - Constructor for class org.predict4all.nlp.parser.token.WordToken

write() - Method in class org.predict4all.nlp.words.correction.model.CorrectionRuleBuilder

writeDictionaryInfo(ByteBuffer) - Method in class org.predict4all.nlp.ngram.dictionary.AbstractNGramDictionary

Write the general information for this dictionary to a given buffer

writeInformations(int) - Method in class org.predict4all.nlp.trainer.corpus.AbstractTrainingDocument

writeLevelForDynamicUse(FileChannel, int, int, int) - Method in class org.predict4all.nlp.ngram.trie.DynamicNGramTrieNode

Write a trie level with DynamicNGramTrieNode.writeLevel(FileChannel, int, int, int, BiConsumer) with DynamicNGramTrieNode.writeDynamicNode(FileChannel, int) as save method.
Result trie file should be read as DynamicNGramTrieNode

writeLevelForStaticUse(FileChannel, int, int, int) - Method in class org.predict4all.nlp.ngram.trie.DynamicNGramTrieNode

Write a trie level with DynamicNGramTrieNode.writeLevel(FileChannel, int, int, int, BiConsumer) with DynamicNGramTrieNode.writeStaticNode(FileChannel, int) as save method.
Result trie file should be read as StaticNGramTrieNode

writeToken(Token) - Method in class org.predict4all.nlp.io.TokenFileOutputStream

writeWord(Word) - Method in class org.predict4all.nlp.io.WordFileOutputStream

_

_free - Variable in class org.predict4all.nlp.ngram.trie.map.TrieNodeMap

the current number of free slots in the hash.

_maxSize - Variable in class org.predict4all.nlp.ngram.trie.map.TrieNodeMap

The maximum number of elements allowed without allocating more space.

_set - Variable in class org.predict4all.nlp.ngram.trie.map.TrieNodeMap

the set of ints

_size - Variable in class org.predict4all.nlp.ngram.trie.map.TrieNodeMap

the current number of occupied slots in the hash.

_states - Variable in class org.predict4all.nlp.ngram.trie.map.TrieNodeMap

flags indicating whether each position in the hash is FREE, FULL, or REMOVED

_values - Variable in class org.predict4all.nlp.ngram.trie.map.TrieNodeMap

the values of the map

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