A B C D E F G H I J K L M N O P Q R S T U V W X Z

T

TabuList<E extends SearchState> - Interface in csli.util.search

tag(String) - Method in class csli.util.nlp.postag.MXPOST

tag(List<String>) - Method in class csli.util.nlp.postag.MXPOST

tag(String[]) - Method in class csli.util.nlp.postag.MXPOST

tag(String) - Method in class csli.util.nlp.postag.QTag

tag(String) - Method in class csli.util.nlp.postag.StanfordTagger

tag(String) - Method in class csli.util.nlp.PoSTagger

Tag a string (possibly a sentence containing multiple words separated by whitespace)

tag(String[]) - Method in class csli.util.nlp.PoSTagger

Tag an array of sentences.

tag(List<String>) - Method in class csli.util.nlp.PoSTagger

Tag a list of sentences.

tag(ScoredObject<String>) - Method in class csli.util.nlp.PoSTagger

Tag a scored sentence

tagWords(String[]) - Method in class csli.util.nlp.postag.QTag

tagWords(List<String>) - Method in class csli.util.nlp.postag.QTag

tagWords(String[]) - Method in class csli.util.nlp.PoSTagger

Tag a sentence represented as an array of words in linear order.

tagWords(List<String>) - Method in class csli.util.nlp.PoSTagger

Tag a sentence represented as a list of words in linear order.

tailSet(E) - Method in class csli.util.collections.SortedList

Term - Class in csli.dialog.core.util

Simple tree-based representation of Terms.

Term() - Constructor for class csli.dialog.core.util.Term

Term(String) - Constructor for class csli.dialog.core.util.Term

Term(String, TermList) - Constructor for class csli.dialog.core.util.Term

termHasProbability() - Method in class csli.dialog.core.util.Term

terminateAfter(int) - Static method in class csli.util.thread.KillProcess

Invoke this to kill the current process after x seconds

TermList - Class in csli.dialog.core.util

List of Terms.

TermList() - Constructor for class csli.dialog.core.util.TermList

Default ctor.

TermList(String) - Constructor for class csli.dialog.core.util.TermList

Constructs TermList from comma-separated list of terms

TermList(List) - Constructor for class csli.dialog.core.util.TermList

Construct TermList from list of Term objects

TermList(Term) - Constructor for class csli.dialog.core.util.TermList

Deprecated. use TermList( A.list(term) ) instead

TermList(Term, Term) - Constructor for class csli.dialog.core.util.TermList

Deprecated. use TermList( A.list(term1, term2) ) instead

terms - Variable in class csli.dialog.core.util.TermList

test(PoSTagger, String[]) - Static method in class csli.util.nlp.PoSTagger

A convenience method for development testing.

test() - Method in class csli.util.nlp.Synonyms

TEST_EXT - Static variable in class csli.util.classify.stanford.SvmLightClassifierFactory

testCompareTo() - Method in class csli.util.test.ComparablePairTest

testExt - Static variable in class csli.util.classify.stanford.C4_5ClassifierFactory

testKeepEndOfLine() - Method in class csli.util.file.test.DelimitedLineReaderTest

testList() - Method in class csli.util.test.ATest

testReadLine() - Method in class csli.util.file.test.DelimitedLineReaderTest

testXmlBuilder() - Method in class csli.util.xml.test.XmlBuilderTest

ThreadDisplay - Class in csli.util.cpu

This is a very simple thread listener that will create itself and monitor the threads (and sub-threads) of the ThreadGroup it is created from.

ThreadDisplay() - Constructor for class csli.util.cpu.ThreadDisplay

Creates the thread listener JFrame.

ThreadTimer - Class in csli.util.thread

Provides a mechanism by which you can monitor how long various methods take to execute.

ThreadTimer() - Constructor for class csli.util.thread.ThreadTimer

ThreadUtils - Class in csli.util.thread

ThreadUtils() - Constructor for class csli.util.thread.ThreadUtils

THRESHOLD - Static variable in class csli.util.FuzzyBoolean

tillMatching(String, char, char) - Method in class csli.dialog.core.util.TermList

TimeUtils - Class in csli.util

Utility methods having to do with time and dates

TimeUtils() - Constructor for class csli.util.TimeUtils

titlefont - Static variable in class csli.util.charts.JFreechart

toConciseString() - Method in class csli.util.CsliTime

A concise ( <= 12 chars) string representation of the time.

toDenseList() - Method in class csli.util.collections.SparseList

Returns a regular list with no null entries corresponding to this sparse list.

toFile(File) - Method in class csli.util.classify.berkeley.FeatureMap

Write feature data out to a feature data file

toFloat() - Method in class csli.util.CsliTime

toGMTCalendar(int, int, int, int, int, int, int) - Static method in class csli.util.TimeUtils

create a date in GMT with the passed in properties, these are expressed as we would normally express them e.g.: 2005/1/27 is January 27, 2005 and 16:50:13.987 is 4:50pm with 13 seconds and 987 milliseconds

toIcl() - Method in class csli.util.FeatureStructure

equivalent to return toIcl(false) -alexgru Jan 21, 2004

toIcl(boolean) - Method in class csli.util.FeatureStructure

return an ICL version of the feature structure

tokenStack(String, String) - Static method in class csli.util.StringUtils

Returns a stack which contains the whitespace-separated tokens in a string.

toLogProb(double) - Static method in class csli.util.math.Probability

Given a probability (log or standard) return the log equivalent.

top() - Method in class csli.util.thread.ProcessingQueue

toPathString() - Method in class csli.util.search.MapState

toPrettyString() - Method in class csli.dialog.core.util.Term

toPrettyString(StringBuffer, int) - Method in class csli.dialog.core.util.Term

toStdProb(double) - Static method in class csli.util.math.Probability

Given a probability (log or standard) return the standard (non-log) equivalent.

toString() - Method in class csli.dialog.core.lf.Sort

toString() - Method in class csli.dialog.core.util.Term

Return String representation of Term.

toString() - Method in class csli.dialog.core.util.TermList

Convert this list of Terms to comma-separated string of term-strings

toString(TrainingSet) - Method in class csli.util.classify.berkeley.C4_5Learner

toString(TrainingType) - Method in class csli.util.classify.berkeley.C4_5Learner

toString(FeatureSet) - Method in class csli.util.classify.berkeley.C4_5Learner

toString(ClassificationSet) - Method in class csli.util.classify.berkeley.C4_5Learner

toString(TrainingSet) - Method in interface csli.util.classify.berkeley.Learner

String conversion for particular learner file format.

toString(TrainingType) - Method in interface csli.util.classify.berkeley.Learner

String conversion for particular learner file format.

toString(FeatureSet) - Method in interface csli.util.classify.berkeley.Learner

String conversion for particular learner file format.

toString(ClassificationSet) - Method in interface csli.util.classify.berkeley.Learner

String conversion for particular learner file format.

toString(TrainingSet) - Method in class csli.util.classify.berkeley.SvmLearner

toString(TrainingType) - Method in class csli.util.classify.berkeley.SvmLearner

toString(FeatureSet) - Method in class csli.util.classify.berkeley.SvmLearner

toString(ClassificationSet) - Method in class csli.util.classify.berkeley.SvmLearner

toString(Datum) - Static method in class csli.util.classify.stanford.C4_5ClassifierFactory

toString(Datum, HashMap<String, Integer>, List<Pair<Double, Double>>) - Static method in class csli.util.classify.stanford.SvmLightClassifierFactory

Turn a data instance into a datafile line

toString() - Method in class csli.util.classify.stanford.WindowBuffer

toString() - Method in class csli.util.collections.CurrentList

toString() - Method in class csli.util.collections.DefaultSlotString

toString() - Method in interface csli.util.collections.SlotString

Must be the same as getFilledString();

toString() - Method in class csli.util.collections.tree.AbstractTree

toString() - Method in class csli.util.CsliTime

toString() - Method in class csli.util.Enum.Color

toString() - Method in class csli.util.FeatureStructure

toString() - Method in class csli.util.KeyVal

toString() - Method in class csli.util.math.matrix.AbstractMatrix

toString() - Method in class csli.util.nlp.stem.PorterStemmer

After a word has been stemmed, it can be retrieved by toString(), or a reference to the internal buffer can be retrieved by getResultBuffer and getResultLength (which is generally more efficient.)

toString() - Method in class csli.util.Pair

toString() - Method in class csli.util.ScoredObject

toString() - Method in class csli.util.search.MapState

toString() - Method in class csli.util.StringWrapper

ToStringComparator<T> - Class in csli.util.collections

Can be used to sort anything based on its toString() representation

ToStringComparator() - Constructor for class csli.util.collections.ToStringComparator

toVerboseString() - Method in class csli.util.CsliTime

A verbose string representation of the time.

train(TrainingSet) - Method in class csli.util.classify.berkeley.C4_5Learner

train(TrainingSet) - Method in interface csli.util.classify.berkeley.Learner

Learn a model from training data.

train(TrainingSet) - Method in class csli.util.classify.berkeley.SvmLearner

train(List<? extends List<?>>, double) - Method in class csli.util.nlp.NgramModel

TRAIN_EXT - Static variable in class csli.util.classify.stanford.SvmLightClassifierFactory

trainClassifier(List<D>) - Method in class csli.util.classify.stanford.C4_5ClassifierFactory

trainClassifier(List<D>) - Method in class csli.util.classify.stanford.CsliMaxentClassifierFactory

trainClassifier(List<D>) - Method in class csli.util.classify.stanford.MaxentWindowClassifierFactory

trainClassifier(List<D>) - Method in class csli.util.classify.stanford.NaiveNgramClassifierFactory

trainClassifier(List<D>) - Method in class csli.util.classify.stanford.NgramClassifierFactory

trainClassifier(List<D>) - Method in class csli.util.classify.stanford.SvmLightClassifierFactory

trainClassifier(List<D>) - Method in class csli.util.classify.stanford.WeightedWindowClassifierFactory

trainExt - Static variable in class csli.util.classify.stanford.C4_5ClassifierFactory

TrainingSet - Class in csli.util.classify.berkeley

Data structure for storing multiple sets of training data.

TrainingSet() - Constructor for class csli.util.classify.berkeley.TrainingSet

Class constructor.

TrainingType - Class in csli.util.classify.berkeley

Data structure for storing a set of training data consisting of positive and negative examples for a class.

TrainingType(String) - Constructor for class csli.util.classify.berkeley.TrainingType

Creates a training class instance, name.

trainWeights(Data[], int[]) - Method in class csli.util.classify.stanford.NaiveBayesClassifierFactory

transform(Collection<? extends S>, Transformer.Transform<? super S, ? extends T>) - Static method in class csli.util.collections.Transformer

transform(Iterable<? extends S>, Transformer.Transform<? super S, ? extends T>) - Static method in class csli.util.collections.Transformer

transform(S) - Method in interface csli.util.collections.Transformer.Transform

Transformer - Class in csli.util.collections

Transformer() - Constructor for class csli.util.collections.Transformer

Transformer.Transform<S,T> - Interface in csli.util.collections

transformIter(Iterable<? extends S>, Transformer.Transform<? super S, ? extends T>) - Static method in class csli.util.collections.Transformer

This version transforms elements on demand during iteration.

transformMap(Map<? extends K, ? extends V1>, Transformer.Transform<? super V1, ? extends V2>) - Static method in class csli.util.collections.Transformer

transformSet(Collection<? extends S>, Transformer.Transform<? super S, ? extends T>) - Static method in class csli.util.collections.Transformer

transformSortedSet(Collection<? extends S>, Transformer.Transform<? super S, ? extends T>) - Static method in class csli.util.collections.Transformer

transpose() - Method in class csli.util.math.matrix.AbstractMatrix

transpose() - Method in interface csli.util.math.matrix.Matrix

Tree<N,T extends Tree<N,T>> - Interface in csli.util.collections.tree

treeCollapsed(TreeExpansionEvent) - Method in class csli.util.swing.jtree.MaintainTreeExpansionListener

Record the node that was collapsed by removing it from the HashSet.

treeExpanded(TreeExpansionEvent) - Method in class csli.util.swing.jtree.MaintainTreeExpansionListener

Record the node that was expanded by adding it to the HashSet.

treeNodesChanged(TreeModelEvent) - Method in class csli.util.swing.jtree.ExpandAllNodes

treeNodesChanged(TreeModelEvent) - Method in class csli.util.swing.jtree.ExpandLastNode

treeNodesChanged(TreeModelEvent) - Method in class csli.util.swing.jtree.MaintainTreeExpansionListener

Un-used at the moment.

treeNodesInserted(TreeModelEvent) - Method in class csli.util.swing.jtree.ExpandAllNodes

treeNodesInserted(TreeModelEvent) - Method in class csli.util.swing.jtree.ExpandLastNode

treeNodesInserted(TreeModelEvent) - Method in class csli.util.swing.jtree.MaintainTreeExpansionListener

Un-used at the moment.

treeNodesRemoved(TreeModelEvent) - Method in class csli.util.swing.jtree.ExpandAllNodes

treeNodesRemoved(TreeModelEvent) - Method in class csli.util.swing.jtree.ExpandLastNode

treeNodesRemoved(TreeModelEvent) - Method in class csli.util.swing.jtree.MaintainTreeExpansionListener

Record any nodes that were deleted by removing them from the HashSet.

treeStructureChanged(TreeModelEvent) - Method in class csli.util.swing.jtree.ExpandAllNodes

treeStructureChanged(TreeModelEvent) - Method in class csli.util.swing.jtree.ExpandLastNode

treeStructureChanged(TreeModelEvent) - Method in class csli.util.swing.jtree.MaintainTreeExpansionListener

This is the main function that we need to re-expand everything for when called.

TreeUtils - Class in csli.util.swing

TreeUtils() - Constructor for class csli.util.swing.TreeUtils

trim(String, String) - Static method in class csli.util.StringHelper

Trim any of the characters contained in the second string from the beginning and end of the first.

trim(String, String) - Static method in class csli.util.StringUtils

TRUE - Static variable in class csli.util.FuzzyBoolean

types() - Method in class csli.util.classify.berkeley.TrainingSet