Package edu.stanford.nlp.international.arabic.process

Class ArabicSegmenter

java.lang.Object

edu.stanford.nlp.international.arabic.process.ArabicSegmenter

All Implemented Interfaces:

WordSegmenter, ThreadsafeProcessor<String,String>, Serializable

public class ArabicSegmenter
extends Object
implements WordSegmenter, ThreadsafeProcessor<String,String>

Arabic word segmentation model based on conditional random fields (CRF). This is a re-implementation (with extensions) of the model described in (Green and DeNero, 2012). This package includes a JFlex-based orthographic normalization package that runs on the input prior to processing by the CRF-based segmentation model. The normalization options are configurable, but must be consistent for both training and test data.

Author:

Spence Green

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor	Description
ArabicSegmenter(ArabicSegmenter other)	Copy constructor.
ArabicSegmenter(Properties props)	Make an Arabic Segmenter.

Method Summary

Modifier and Type	Method	Description
void	finishTraining()
static ArabicSegmenter	getSegmenter(Properties options)	Train a new segmenter or load an trained model from file.
void	initializeTraining(double numTrees)
void	loadSegmenter(String filename)
void	loadSegmenter(String filename, Properties p)
static void	main(String[] args)
ThreadsafeProcessor<String,String>	newInstance()	Return a new threadsafe instance.
String	process(String nextInput)	Set the input item that will be processed when a thread is allocated to this processor.
long	segment(BufferedReader br, PrintWriter pwOut)	Segment all strings from an input.
List<HasWord>	segment(String line)
String	segmentString(String line)
List<CoreLabel>	segmentStringToTokenList(String line)
void	serializeSegmenter(String filename)
void	train()	Train a segmenter from raw text.
void	train(Tree tree)
void	train(Collection<Tree> trees)
void	train(List<TaggedWord> sentence)

Methods inherited from class java.lang.Object

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

Constructor Detail

ArabicSegmenter

public ArabicSegmenter(Properties props)

Make an Arabic Segmenter.

Parameters:

props - Options for how to tokenize. See the main method of ArabicTokenizer for details

ArabicSegmenter

public ArabicSegmenter(ArabicSegmenter other)

Copy constructor.

Parameters:

other -

Method Detail

initializeTraining

public void initializeTraining(double numTrees)

Specified by:

initializeTraining in interface WordSegmenter

train

public void train(Collection<Tree> trees)

Specified by:

train in interface WordSegmenter

train

public void train(Tree tree)

Specified by:

train in interface WordSegmenter

train

public void train(List<TaggedWord> sentence)

Specified by:

train in interface WordSegmenter

finishTraining

public void finishTraining()

Specified by:

finishTraining in interface WordSegmenter

process

public String process(String nextInput)

Description copied from interface: ThreadsafeProcessor

Set the input item that will be processed when a thread is allocated to this processor.

Specified by:

process in interface ThreadsafeProcessor<String,String>

Parameters:

nextInput - the object to be processed

Returns:

the result of the processing

newInstance

public ThreadsafeProcessor<String,String> newInstance()

Description copied from interface: ThreadsafeProcessor

Return a new threadsafe instance.

Specified by:

newInstance in interface ThreadsafeProcessor<String,String>

segment

public List<HasWord> segment(String line)

Specified by:

segment in interface WordSegmenter

segmentStringToTokenList

public List<CoreLabel> segmentStringToTokenList(String line)

segmentString

public String segmentString(String line)

segment

public long segment(BufferedReader br,
                    PrintWriter pwOut)

Segment all strings from an input.

Parameters:

br - -- input stream to segment

pwOut - -- output stream to write the segmenter text

Returns:

number of input characters segmented

train

public void train()

Train a segmenter from raw text. Gold segmentation markers are required.

serializeSegmenter

public void serializeSegmenter(String filename)

loadSegmenter

public void loadSegmenter(String filename,
                          Properties p)

loadSegmenter

public void loadSegmenter(String filename)

Specified by:

loadSegmenter in interface WordSegmenter

main

public static void main(String[] args)

Parameters:

args -

getSegmenter

public static ArabicSegmenter getSegmenter(Properties options)

Train a new segmenter or load an trained model from file. First checks to see if there is a "model" or "loadClassifier" flag to load from, and if not tries to run training using the given options.

Parameters:

options - Properties to specify segmenter behavior

Returns:

the trained or loaded model