Package opennlp.tools.langdetect

Class LanguageDetectorME

java.lang.Object

opennlp.tools.langdetect.LanguageDetectorME

All Implemented Interfaces:

Serializable, LanguageDetector

public class LanguageDetectorME
extends Object
implements LanguageDetector

Implements learnable Language Detector

This will process the entire string when called with predictLanguage(CharSequence) or predictLanguages(CharSequence).

If you want this to stop early, use probingPredictLanguages(CharSequence) or probingPredictLanguages(CharSequence, LanguageDetectorConfig). When run in probing mode, this starts at the beginning of the charsequence and runs language detection on chunks of text. If the end of the string is reached or there are LanguageDetectorConfig.getMinConsecImprovements() consecutive predictions for the best language and the confidence increases over those last predictions and if the difference in confidence between the highest confidence language and the second highest confidence language is greater than LanguageDetectorConfig.getMinDiff(), the language detector will stop and report the results.

The authors wish to thank Ken Krugler and Yalder} for the inspiration for many of the design components of this detector.

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor	Description
LanguageDetectorME(LanguageDetectorModel model)	Initializes the current instance with a language detector model.

Method Summary

Modifier and Type	Method	Description
String[]	getSupportedLanguages()
Language	predictLanguage(CharSequence content)	This will process the full content length.
Language[]	predictLanguages(CharSequence content)	This will process the full content length.
ProbingLanguageDetectionResult	probingPredictLanguages(CharSequence content)	This will stop processing early if the stopping criteria specified in LanguageDetectorConfig.DEFAULT_LANGUAGE_DETECTOR_CONFIG are met.
ProbingLanguageDetectionResult	probingPredictLanguages(CharSequence content, LanguageDetectorConfig config)	This will stop processing early if the stopping criteria specified in LanguageDetectorConfig.DEFAULT_LANGUAGE_DETECTOR_CONFIG are met.
static LanguageDetectorModel	train(ObjectStream<LanguageSample> samples, TrainingParameters mlParams, LanguageDetectorFactory factory)

Methods inherited from class java.lang.Object

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

Constructor Detail

LanguageDetectorME

public LanguageDetectorME(LanguageDetectorModel model)

Initializes the current instance with a language detector model. Default feature generation is used.

Parameters:

model - the language detector model

Method Detail

predictLanguages

public Language[] predictLanguages(CharSequence content)

This will process the full content length.

Specified by:

predictLanguages in interface LanguageDetector

Parameters:

content -

Returns:

the predicted languages

predictLanguage

public Language predictLanguage(CharSequence content)

This will process the full content length.

Specified by:

predictLanguage in interface LanguageDetector

Parameters:

content -

Returns:

the language with the highest confidence

getSupportedLanguages

public String[] getSupportedLanguages()

Specified by:

getSupportedLanguages in interface LanguageDetector

probingPredictLanguages

public ProbingLanguageDetectionResult probingPredictLanguages(CharSequence content)

This will stop processing early if the stopping criteria specified in LanguageDetectorConfig.DEFAULT_LANGUAGE_DETECTOR_CONFIG are met.

Parameters:

content - content to be processed

Returns:

result

probingPredictLanguages

public ProbingLanguageDetectionResult probingPredictLanguages(CharSequence content,
                                                              LanguageDetectorConfig config)

This will stop processing early if the stopping criteria specified in LanguageDetectorConfig.DEFAULT_LANGUAGE_DETECTOR_CONFIG are met.

Parameters:

content - content to process

config - config to customize detection

Returns:

train

public static LanguageDetectorModel train(ObjectStream<LanguageSample> samples,
                                          TrainingParameters mlParams,
                                          LanguageDetectorFactory factory)
                                   throws IOException

Throws:

IOException