Uses of Class
opennlp.tools.util.StringList

Packages that use StringList

Package	Description
opennlp.tools.dictionary
opennlp.tools.dictionary.serializer
opennlp.tools.ngram
opennlp.tools.util

Uses of StringList in opennlp.tools.dictionary

Classes in opennlp.tools.dictionary that implement interfaces with type arguments of type StringList

Modifier and Type	Class	Description
class	Dictionary	An iterable and serializable dictionary implementation.

Methods in opennlp.tools.dictionary that return types with arguments of type StringList

Modifier and Type	Method	Description
Iterator<StringList>	Dictionary.iterator()

Methods in opennlp.tools.dictionary with parameters of type StringList

Modifier and Type	Method	Description
boolean	Dictionary.contains(StringList tokens)	Checks if this dictionary has the given entry.
void	Dictionary.put(StringList tokens)	Adds the tokens to the dictionary as one new entry.
void	Dictionary.remove(StringList tokens)	Removes the given tokens form the current instance.

Constructor parameters in opennlp.tools.dictionary with type arguments of type StringList

Modifier	Constructor	Description
	Index(Iterator<StringList> tokenLists)	Initializes an Index with the given Iterator over StringList elements.

Uses of StringList in opennlp.tools.dictionary.serializer

Methods in opennlp.tools.dictionary.serializer that return StringList

Modifier and Type	Method	Description
StringList	Entry.tokens()	Returns the value of the tokens record component.

Constructors in opennlp.tools.dictionary.serializer with parameters of type StringList

Modifier	Constructor	Description
	Entry(StringList tokens, Attributes attributes)	Creates an instance of a Entry record class.

Uses of StringList in opennlp.tools.ngram

Classes in opennlp.tools.ngram that implement interfaces with type arguments of type StringList

Modifier and Type	Class	Description
class	NGramModel	The NGramModel can be used to crate ngrams and character ngrams.

Methods in opennlp.tools.ngram that return StringList

Modifier and Type	Method	Description
static StringList	NGramUtils.getNMinusOneTokenFirst(StringList ngram)	get the (n-1)th ngram of a given ngram, that is the same ngram except the last word in the ngram
static StringList	NGramUtils.getNMinusOneTokenLast(StringList ngram)	get the (n-1)th ngram of a given ngram, that is the same ngram except the first word in the ngram

Methods in opennlp.tools.ngram that return types with arguments of type StringList

Modifier and Type	Method	Description
static Collection<StringList>	NGramUtils.getNGrams(StringList sequence, int size)	Get the ngrams of dimension n of a certain input sequence of tokens.
Iterator<StringList>	NGramModel.iterator()	Retrieves an Iterator over all StringList entries.

Methods in opennlp.tools.ngram with parameters of type StringList

Modifier and Type	Method	Description
void	NGramModel.add(StringList ngram)	Adds one NGram, if it already exists the count increase by one.
void	NGramModel.add(StringList ngram, int minLength, int maxLength)	Adds NGrams up to the specified length to the current instance.
static double	NGramUtils.calculateLaplaceSmoothingProbability(StringList ngram, Iterable<StringList> set, Double k)	calculate the probability of a ngram in a vocabulary using Laplace smoothing algorithm
static double	NGramUtils.calculateMissingNgramProbabilityMass(StringList ngram, double discount, Iterable<StringList> set)	calculate the probability of a ngram in a vocabulary using the missing probability mass algorithm
static double	NGramUtils.calculateNgramMLProbability(StringList ngram, Iterable<StringList> set)	calculate the probability of a ngram in a vocabulary using maximum likelihood estimation
boolean	NGramModel.contains(StringList tokens)	Checks fit he given tokens are contained by the current instance.
int	NGramModel.getCount(StringList ngram)	Retrieves the count of the given ngram.
static Collection<StringList>	NGramUtils.getNGrams(StringList sequence, int size)	Get the ngrams of dimension n of a certain input sequence of tokens.
static StringList	NGramUtils.getNMinusOneTokenFirst(StringList ngram)	get the (n-1)th ngram of a given ngram, that is the same ngram except the last word in the ngram
static StringList	NGramUtils.getNMinusOneTokenLast(StringList ngram)	get the (n-1)th ngram of a given ngram, that is the same ngram except the first word in the ngram
void	NGramModel.remove(StringList tokens)	Removes the specified tokens form the NGram model, they are just dropped.
void	NGramModel.setCount(StringList ngram, int count)	Sets the count of an existing ngram.

Method parameters in opennlp.tools.ngram with type arguments of type StringList

Modifier and Type	Method	Description
static double	NGramUtils.calculateBigramMLProbability(String x0, String x1, Collection<StringList> set)	calculate the probability of a bigram in a vocabulary using maximum likelihood estimation
static double	NGramUtils.calculateBigramPriorSmoothingProbability(String x0, String x1, Collection<StringList> set, Double k)	calculate the probability of a bigram in a vocabulary using prior Laplace smoothing algorithm
static double	NGramUtils.calculateLaplaceSmoothingProbability(StringList ngram, Iterable<StringList> set, Double k)	calculate the probability of a ngram in a vocabulary using Laplace smoothing algorithm
static double	NGramUtils.calculateMissingNgramProbabilityMass(StringList ngram, double discount, Iterable<StringList> set)	calculate the probability of a ngram in a vocabulary using the missing probability mass algorithm
static double	NGramUtils.calculateNgramMLProbability(StringList ngram, Iterable<StringList> set)	calculate the probability of a ngram in a vocabulary using maximum likelihood estimation
static double	NGramUtils.calculateTrigramLinearInterpolationProbability(String x0, String x1, String x2, Collection<StringList> set, Double lambda1, Double lambda2, Double lambda3)	calculate the probability of a trigram in a vocabulary using a linear interpolation algorithm
static double	NGramUtils.calculateTrigramMLProbability(String x0, String x1, String x2, Iterable<StringList> set)	calculate the probability of a trigram in a vocabulary using maximum likelihood estimation
static double	NGramUtils.calculateUnigramMLProbability(String word, Collection<StringList> set)	calculate the probability of a unigram in a vocabulary using maximum likelihood estimation

Uses of StringList in opennlp.tools.util

Methods in opennlp.tools.util that return StringList

Modifier and Type	Method	Description
StringList	StringList.toCaseInsensitive()
StringList	StringList.toCaseSensitive()

Methods in opennlp.tools.util with parameters of type StringList

Modifier and Type	Method	Description
boolean	StringList.compareToIgnoreCase(StringList tokens)	Compares to token list and ignores the case of the tokens.