Class ThreadSafeChunkerME
java.lang.Object
opennlp.tools.chunker.ThreadSafeChunkerME
- All Implemented Interfaces:
AutoCloseable, opennlp.tools.chunker.Chunker, opennlp.tools.ml.Probabilistic
@ThreadSafe
public class ThreadSafeChunkerME
extends Object
implements opennlp.tools.chunker.Chunker, opennlp.tools.ml.Probabilistic, AutoCloseable
A thread-safe version of the
ChunkerME. Using it is completely transparent.
You can use it in a single-threaded context as well, it only incurs a minimal overhead.
Note:
This implementation uses a ThreadLocal. Although the implementation is
lightweight because the model is not duplicated, if you have many long-running threads,
you may run into memory problems.
Be careful when using this in a Jakarta EE application, for example.
The user is responsible for clearing theThreadLocal
via calling close().- See Also:
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Constructor Summary
ConstructorsConstructorDescriptionThreadSafeChunkerME(ChunkerModel model) Initializes aThreadSafeChunkerMEwith the specifiedmodel. -
Method Summary
Modifier and TypeMethodDescriptionString[]opennlp.tools.util.Span[]chunkAsSpans(String[] toks, String[] tags) voidclose()double[]probs()opennlp.tools.util.Sequence[]topKSequences(String[] sentence, String[] tags) opennlp.tools.util.Sequence[]topKSequences(String[] sentence, String[] tags, double minSequenceScore)
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Constructor Details
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ThreadSafeChunkerME
Initializes aThreadSafeChunkerMEwith the specifiedmodel.- Parameters:
model- A validChunkerModel.
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Method Details
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chunk
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chunkAsSpans
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topKSequences
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topKSequences
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close
public void close()- Specified by:
closein interfaceAutoCloseable
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probs
public double[] probs()- Specified by:
probsin interfaceopennlp.tools.ml.Probabilistic
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