de.julielab.jpos.tagger

Class POSTagger

java.lang.Object

de.julielab.jpos.tagger.POSTagger

All Implemented Interfaces:

Serializable

public class POSTagger
extends Object
implements Serializable

general class which does all the ML stuff

Author:

hellrich, based on tomanek

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
POSTagger() default constructor
POSTagger(File featureConfigFile) constructor for feature config file

Method Summary

Methods

Modifier and Type	Method and Description
Properties	getFeatureConfig()
Object	getModel() return the model
int	getNumber_Iterations()
boolean	isTrained() returns true when model has been successfully trained.
Sentence	PPDtoUnits(String sentence) takes a sentence in piped format and returns the corresponding unit sentence as a Sentence object
ArrayList<String>	predictForCLI(ArrayList<Sentence> sentences) predict the entity labels by means of a previously learned model.
void	predictForUIMA(Sentence sentence) predicts the entity labels by means of a model.
static POSTagger	readModel(File modelFile) load a previously trained FeatureSubsetModel (CRF4+Properties) which was stored as serialized object to disk.
static POSTagger	readModel(InputStream is) load a previously trained FeatureSubsetModel (CRF4+Properties) which was stored as serialized object to disk.
void	set_Number_Iterations(int number_iter)
void	setFeatureConfig(Properties featureConfig)
Sentence	textToUnits(String sentence)
void	train(ArrayList<Sentence> sentences) this is to train a NE model (based on CRF); when trained, the model is stored internally.
void	writeModel(String filename) Save the model learned to disk.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

POSTagger

public POSTagger()

default constructor

POSTagger

public POSTagger(File featureConfigFile)

constructor for feature config file

Parameters:

featureConfigFile -

Method Detail

isTrained

public boolean isTrained()

returns true when model has been successfully trained.

Returns:

true if trained

train

public void train(ArrayList<Sentence> sentences)

this is to train a NE model (based on CRF); when trained, the model is stored internally. The model can be saved to disk using the writeModel command.

Parameters:

sentences - training data, an ArrayList of Sentence objects, File which contains the feature subset to be used in a text format

predictForUIMA

public void predictForUIMA(Sentence sentence)

predicts the entity labels by means of a model. this method is needed by UIMA-JNET!

Parameters:

sentence - a Sentence object containing all units (= tokens) of that sentence

predictForCLI

public ArrayList<String> predictForCLI(ArrayList<Sentence> sentences)

predict the entity labels by means of a previously learned model. this method is used by JNET stand alone version (for UIMA-JNET see other predict method) Output is an arraylist of IOB

Parameters:

sentences - an ArrayList of Sentence objects

Returns:

IOB output for the sentences to be predicted. Each element of the ArrayList is a string which refers to one word and its label ("token\tlabel")

writeModel

public void writeModel(String filename)

Save the model learned to disk. THis is done via Java's object serialization.

Parameters:

filename - where to write it (full path!)

readModel

public static POSTagger readModel(InputStream is)
                           throws IOException,
                                  FileNotFoundException,
                                  ClassNotFoundException

load a previously trained FeatureSubsetModel (CRF4+Properties) which was stored as serialized object to disk.

Parameters:

is - InputStream for a serialized featureSubsetModel

Throws:

IOException

FileNotFoundException

ClassNotFoundException

readModel

public static POSTagger readModel(File modelFile)
                           throws IOException,
                                  FileNotFoundException,
                                  ClassNotFoundException

load a previously trained FeatureSubsetModel (CRF4+Properties) which was stored as serialized object to disk.

Parameters:

filename - where to find the serialized featureSubsetModel (full path!)

Throws:

IOException

FileNotFoundException

ClassNotFoundException

getModel

public Object getModel()

return the model

setFeatureConfig

public void setFeatureConfig(Properties featureConfig)

getFeatureConfig

public Properties getFeatureConfig()

textToUnits

public Sentence textToUnits(String sentence)

PPDtoUnits

public Sentence PPDtoUnits(String sentence)

takes a sentence in piped format and returns the corresponding unit sentence as a Sentence object

Parameters:

sentence - in piped format to be converted

getNumber_Iterations

public int getNumber_Iterations()

set_Number_Iterations

public void set_Number_Iterations(int number_iter)