org.apache.stanbol.commons.opennlp

Class OpenNLP

java.lang.Object

org.apache.stanbol.commons.opennlp.OpenNLP

@Service(value=OpenNLP.class)
public class OpenNLP
extends Object

OSGI service that let you load OpenNLP Models via the Stanbol DataFileProvider infrastructure. This allows users to copy models to the 'datafiles' directory or developer to provide models via via OSGI bundles.

This service also provides methods that directly return the OpenNLP component wrapping the model.

Field Summary

Fields

Modifier and Type	Field and Description
protected Map<String,Object>	models Map holding the already built models TODO: change to use a WeakReferenceMap

Constructor Summary

Constructors

Constructor and Description
OpenNLP() Default constructor
OpenNLP(org.apache.stanbol.commons.stanboltools.datafileprovider.DataFileProvider dataFileProvider) Constructor intended to be used when running outside an OSGI environment (e.g. when used for UnitTests)

Method Summary

Methods

Modifier and Type	Method and Description
opennlp.tools.chunker.Chunker	getChunker(String language) Getter for the Chunker for a given language
opennlp.tools.chunker.ChunkerModel	getChunkerModel(String language) Getter for the chunker model for the parsed language.
<T> T	getModel(Class<T> modelType, String modelName, Map<String,String> properties) Getter for the Model with the parsed type, name and properties.
opennlp.tools.namefind.TokenNameFinder	getNameFinder(String type, String language) Getter for the TokenNameFinder for the parsed entity type and language.
opennlp.tools.namefind.TokenNameFinderModel	getNameModel(String type, String language) Getter for the named entity finder model for the parsed entity type and language.
opennlp.tools.postag.POSModel	getPartOfSpeachModel(String language) Getter for the "part-of-speech" model for the parsed language.
opennlp.tools.postag.POSTagger	getPartOfSpeechTagger(String language) Getter for the "part-of-speech" tagger for the parsed language.
opennlp.tools.sentdetect.SentenceDetector	getSentenceDetector(String language) Getter for the sentence detector of the parsed language.
opennlp.tools.sentdetect.SentenceModel	getSentenceModel(String language) Getter for the sentence detection model of the parsed language.
opennlp.tools.tokenize.Tokenizer	getTokenizer(String language) Getter for the Tokenizer of a given language.
opennlp.tools.tokenize.TokenizerModel	getTokenizerModel(String language) Getter for the tokenizer model for the parsed language.
protected InputStream	lookupModelStream(String modelName, Map<String,String> properties) Lookup an openNLP data file via the dataFileProvider
protected static String	removeNonUtf8CompliantCharacters(String text) Remove non UTF-8 compliant characters (typically control characters) so has to avoid polluting the annotation graph with snippets that are not serializable as XML.

Methods inherited from class java.lang.Object

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

Field Detail

models

protected Map<String,Object> models

Map holding the already built models TODO: change to use a WeakReferenceMap

Constructor Detail

OpenNLP

public OpenNLP()

Default constructor

OpenNLP

public OpenNLP(org.apache.stanbol.commons.stanboltools.datafileprovider.DataFileProvider dataFileProvider)

Constructor intended to be used when running outside an OSGI environment (e.g. when used for UnitTests)

Parameters:

dataFileProvider - the dataFileProvider used to load Model data.

Method Detail

getSentenceModel

public opennlp.tools.sentdetect.SentenceModel getSentenceModel(String language)
                                                        throws opennlp.tools.util.InvalidFormatException,
                                                               IOException

Getter for the sentence detection model of the parsed language. If the model is not yet available a new one is built. The required data are loaded by using the DataFileProvider service.

Parameters:

language - the language

Returns:

the model or null if no model data are found

Throws:

opennlp.tools.util.InvalidFormatException - in case the found model data are in the wrong format

IOException - on any error while reading the model data

getSentenceDetector

public opennlp.tools.sentdetect.SentenceDetector getSentenceDetector(String language)
                                                              throws IOException

Getter for the sentence detector of the parsed language.

Parameters:

language - the language

Returns:

the model or null if no model data are found

Throws:

opennlp.tools.util.InvalidFormatException - in case the found model data are in the wrong format

IOException - on any error while reading the model data

getNameModel

public opennlp.tools.namefind.TokenNameFinderModel getNameModel(String type,
                                                       String language)
                                                         throws opennlp.tools.util.InvalidFormatException,
                                                                IOException

Getter for the named entity finder model for the parsed entity type and language. If the model is not yet available a new one is built. The required data are loaded by using the DataFileProvider service.

Parameters:

type - the type of the named entities to find (person, organization)

language - the language

Returns:

the model or null if no model data are found

Throws:

opennlp.tools.util.InvalidFormatException - in case the found model data are in the wrong format

IOException - on any error while reading the model data

getNameFinder

public opennlp.tools.namefind.TokenNameFinder getNameFinder(String type,
                                                   String language)
                                                     throws IOException

Getter for the TokenNameFinder for the parsed entity type and language.

Parameters:

type - the type of the named entities to find (person, organization)

language - the language

Returns:

the model or null if no model data are found

Throws:

opennlp.tools.util.InvalidFormatException - in case the found model data are in the wrong format

IOException - on any error while reading the model data

getTokenizerModel

public opennlp.tools.tokenize.TokenizerModel getTokenizerModel(String language)
                                                        throws opennlp.tools.util.InvalidFormatException,
                                                               IOException

Getter for the tokenizer model for the parsed language. If the model is not yet available a new one is built. The required data are loaded by using the DataFileProvider service.

Parameters:

language - the language

Returns:

the model or null if no model data are found

Throws:

opennlp.tools.util.InvalidFormatException - in case the found model data are in the wrong format

IOException - on any error while reading the model data

getTokenizer

public opennlp.tools.tokenize.Tokenizer getTokenizer(String language)

Getter for the Tokenizer of a given language. This first tries to create an TokenizerME instance if the required TokenizerModel for the parsed language is available. if such a model is not available it returns the SimpleTokenizer instance.

Parameters:

language - the language or null to build a SimpleTokenizer

Returns:

the Tokenizer for the parsed language.

getPartOfSpeachModel

public opennlp.tools.postag.POSModel getPartOfSpeachModel(String language)
                                                   throws IOException,
                                                          opennlp.tools.util.InvalidFormatException

Getter for the "part-of-speech" model for the parsed language. If the model is not yet available a new one is built. The required data are loaded by using the DataFileProvider service.

Parameters:

language - the language

Returns:

the model or null if no model data are found

Throws:

opennlp.tools.util.InvalidFormatException - in case the found model data are in the wrong format

IOException - on any error while reading the model data

getPartOfSpeechTagger

public opennlp.tools.postag.POSTagger getPartOfSpeechTagger(String language)
                                                     throws IOException

Getter for the "part-of-speech" tagger for the parsed language.

Parameters:

language - the language

Returns:

the model or null if no model data are found

Throws:

opennlp.tools.util.InvalidFormatException - in case the found model data are in the wrong format

IOException - on any error while reading the model data

getModel

public <T> T getModel(Class<T> modelType,
             String modelName,
             Map<String,String> properties)
           throws opennlp.tools.util.InvalidFormatException,
                  IOException

Getter for the Model with the parsed type, name and properties.

Parameters:

modelType - the type of the Model (e.g. ChunkerModel)

modelName - the name of the model file. MUST BE available via the DataFileProvider.

properties - additional properties about the model (parsed to the DataFileProvider. NOTE that "Description", "Model Type" and "Download Location" are set to default values if not defined in the parsed value.

Returns:

the loaded (or cached) model

Throws:

opennlp.tools.util.InvalidFormatException - in case the found model data are in the wrong format

IOException - on any error while reading the model data

getChunkerModel

public opennlp.tools.chunker.ChunkerModel getChunkerModel(String language)
                                                   throws opennlp.tools.util.InvalidFormatException,
                                                          IOException

Getter for the chunker model for the parsed language. If the model is not yet available a new one is built. The required data are loaded by using the DataFileProvider service.

Parameters:

language - the language

Returns:

the model or null if no model data are present

Throws:

opennlp.tools.util.InvalidFormatException - in case the found model data are in the wrong format

IOException - on any error while reading the model data

getChunker

public opennlp.tools.chunker.Chunker getChunker(String language)
                                         throws IOException

Getter for the Chunker for a given language

Parameters:

language - the language

Returns:

the Chunker or null if no model is present

Throws:

opennlp.tools.util.InvalidFormatException - in case the found model data are in the wrong format

IOException - on any error while reading the model data

lookupModelStream

protected InputStream lookupModelStream(String modelName,
                            Map<String,String> properties)
                                 throws IOException

Lookup an openNLP data file via the dataFileProvider

Parameters:

modelName - the name of the model

Returns:

the stream or null if not found

Throws:

IOException - an any error while opening the model file

removeNonUtf8CompliantCharacters

protected static String removeNonUtf8CompliantCharacters(String text)

Remove non UTF-8 compliant characters (typically control characters) so has to avoid polluting the annotation graph with snippets that are not serializable as XML.