Package opennlp.tools.parser.treeinsert
Klasse Parser
java.lang.Object
opennlp.tools.parser.AbstractBottomUpParser
opennlp.tools.parser.treeinsert.Parser
- Alle implementierten Schnittstellen:
Parser
A built-attach
Parser
implementation.
Nodes are built when their left-most child is encountered. Subsequent children are attached as daughters. Attachment is based on node in the right-frontier of the tree. After each attachment or building, nodes are assessed as either complete or incomplete. Complete nodes are no longer eligible for daughter attachment.
Complex modifiers which produce additional node levels of the same type are attached with sister-adjunction. Attachment can not take place higher in the right-frontier than an incomplete node.
- Siehe auch:
-
Feldübersicht
FelderModifizierer und TypFeldBeschreibungstatic final String
Outcome used when a node should be attached as a daughter to another node.static final String
Outcome used when a node should be attached as a sister to another node.static final String
Label used to distinguish build nodes from non-built nodes.static final String
Outcome used when a constituent needs an no additional parent node/building.static final String
Outcome used when a node should not be attached to another node.Von Klasse geerbte Felder opennlp.tools.parser.AbstractBottomUpParser
COMPLETE, CONT, defaultAdvancePercentage, defaultBeamSize, INC_NODE, INCOMPLETE, OTHER, START, TOK_NODE, TOP_NODE
-
Konstruktorübersicht
KonstruktorenKonstruktorBeschreibungParser
(ParserModel model) Instantiates aParser
via a givenmodel
.Parser
(ParserModel model, int beamSize, double advancePercentage) Instantiates aParser
via a givenmodel
and other configuration parameters. -
Methodenübersicht
Modifizierer und TypMethodeBeschreibunggetRightFrontier
(Parse root, Set<String> punctSet) Returns the right frontier of the specifiedtree
with nodes ordered from deepest to shallowest.static ParserModel
train
(String languageCode, ObjectStream<Parse> parseSamples, HeadRules rules, int iterations, int cutoff) Starts a training of aParserModel
.static ParserModel
train
(String languageCode, ObjectStream<Parse> parseSamples, HeadRules rules, TrainingParameters mlParams) Starts a training of aParserModel
.Von Klasse geerbte Methoden opennlp.tools.parser.AbstractBottomUpParser
buildDictionary, buildDictionary, collapsePunctuation, parse, parse, setErrorReporting, setParents
-
Felddetails
-
DONE
Outcome used when a constituent needs an no additional parent node/building.- Siehe auch:
-
ATTACH_SISTER
Outcome used when a node should be attached as a sister to another node.- Siehe auch:
-
ATTACH_DAUGHTER
Outcome used when a node should be attached as a daughter to another node.- Siehe auch:
-
NON_ATTACH
Outcome used when a node should not be attached to another node.- Siehe auch:
-
BUILT
Label used to distinguish build nodes from non-built nodes.- Siehe auch:
-
-
Konstruktordetails
-
Parser
Instantiates aParser
via a givenmodel
and other configuration parameters. Uses the default implementations ofPOSTaggerME
andChunkerME
.- Parameter:
model
- TheParserModel
to use.beamSize
- The number of different parses kept during parsing.advancePercentage
- The minimal amount of probability mass which advanced outcomes must represent. Only outcomes which contribute to the topadvancePercentage
will be explored.- Löst aus:
IllegalStateException
- Thrown if theParserType
is not supported.- Siehe auch:
-
Parser
Instantiates aParser
via a givenmodel
. Uses the default implementations ofPOSTaggerME
andChunkerME
and default values forbeamSize
andadvancePercentage
.- Parameter:
model
- TheParserModel
to use.- Löst aus:
IllegalStateException
- Thrown if theParserType
is not supported.- Siehe auch:
-
-
Methodendetails
-
getRightFrontier
Returns the right frontier of the specifiedtree
with nodes ordered from deepest to shallowest.- Parameter:
root
- Theroot
of the parse tree.punctSet
- A set of punctuation symbols to be used.- Gibt zurück:
- The right frontier of the specified parse tree.
-
train
public static ParserModel train(String languageCode, ObjectStream<Parse> parseSamples, HeadRules rules, TrainingParameters mlParams) throws IOException Starts a training of aParserModel
.- Parameter:
languageCode
- An ISO conform language code.parseSamples
- Thesamples
as input.rules
- TheHeadRules
to use.mlParams
- Theparameters
for training.- Gibt zurück:
- A valid
ParserModel
. - Löst aus:
IOException
- Thrown if IO errors occurred during training.
-
train
public static ParserModel train(String languageCode, ObjectStream<Parse> parseSamples, HeadRules rules, int iterations, int cutoff) throws IOException Starts a training of aParserModel
.- Parameter:
languageCode
- An ISO conform language code.parseSamples
- Thesamples
as input.rules
- TheHeadRules
to use.iterations
- The number of iterations to be conducted.cutoff
- The cut-off parameter to be used.- Gibt zurück:
- A valid
ParserModel
. - Löst aus:
IOException
- Thrown if IO errors occurred during training.
-