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java.lang.Object cc.mallet.fst.SumLatticeFactory cc.mallet.fst.SumLatticeBeam.Factory
public static class SumLatticeBeam.Factory
Constructor Summary | |
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SumLatticeBeam.Factory(int beamWidth)
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Method Summary | |
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SumLattice |
newSumLattice(Transducer trans,
Sequence input,
Sequence output,
Transducer.Incrementor incrementor,
boolean saveXis,
LabelAlphabet outputAlphabet)
Returns a SumLattice object to run forward-backward. |
Methods inherited from class cc.mallet.fst.SumLatticeFactory |
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newSumLattice, newSumLattice, newSumLattice, newSumLattice, newSumLattice, newSumLattice |
Methods inherited from class java.lang.Object |
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clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
Constructor Detail |
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public SumLatticeBeam.Factory(int beamWidth)
Method Detail |
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public SumLattice newSumLattice(Transducer trans, Sequence input, Sequence output, Transducer.Incrementor incrementor, boolean saveXis, LabelAlphabet outputAlphabet)
SumLatticeFactory
newSumLattice
in class SumLatticeFactory
trans
- Transducer modelinput
- Input sequenceoutput
- If output is null then the forward-backward is not constrained to match the outputincrementor
- If null then do not update the weightssaveXis
- If true then save the transition weights as welloutputAlphabet
- If outputAlphabet is non-null, this will create a LabelVector for each
position in the output sequence indicating the probability distribution
over possible outputs at that time index.
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