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java.lang.Objectdanbikel.parser.ProbabilityStructure
danbikel.parser.ms.LexPriorModelStructure1
public class LexPriorModelStructure1
Field Summary |
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Fields inherited from class danbikel.parser.ProbabilityStructure |
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additionalData, defaultModelClassName, defaultModelConstructor, doPruning, estimates, futureList, futures, futuresWithSubcats, histories, historiesWithSubcats, historyList, lambdas, prevHistCount, topLevelCacheSize, transitions |
Constructor Summary | |
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LexPriorModelStructure1()
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Method Summary | |
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ProbabilityStructure |
copy()
Returns a deep copy of this object. |
Event |
getFuture(TrainerEvent trainerEvent,
int backOffLevel)
Extracts the future for the specified level of back-off from the specified trainer event. |
Event |
getHistory(TrainerEvent trainerEvent,
int backOffLevel)
Extracts the history context for the specified back-off level from the specified trainer event. |
double |
lambdaFudge(int backOffLevel)
Returns the "fudge factor" for the lambda computation for backOffLevel . |
double |
lambdaFudgeTerm(int backOffLevel)
Returns the "fudge term" for the lambda computation for backOffLevel . |
int |
maxEventComponents()
Allows subclasses to specify the maximum number of event components, so that the constructor of this class may pre-allocate space in its internal, reusable MutableEvent objects (used for efficient
event construction). |
int |
numLevels()
Returns the number of back-off levels. |
Methods inherited from class danbikel.parser.ProbabilityStructure |
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cacheSize, defaultSmoothingParamsFilename, doCleanup, dontAddNewParameters, doPruning, getAdditionalData, getTopLevelCacheSize, getTransition, jointModel, lambdaPenalty, newModel, priorLevel, removeFuture, removeHistory, removeTransition, saveSmoothingParameters, setAdditionalData, smoothingParametersFile, useSmoothingParameters |
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 LexPriorModelStructure1()
Method Detail |
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public int maxEventComponents()
ProbabilityStructure
MutableEvent
objects (used for efficient
event construction). The default implementation simply returns 1.
maxEventComponents
in class ProbabilityStructure
MutableEvent.ensureCapacity(int)
public int numLevels()
ProbabilityStructure
numLevels
in class ProbabilityStructure
public double lambdaFudge(int backOffLevel)
ProbabilityStructure
backOffLevel
. The default implementation returns
5.0
.
lambdaFudge
in class ProbabilityStructure
backOffLevel
- the back-off level for which to return a "fudge
factor"public double lambdaFudgeTerm(int backOffLevel)
ProbabilityStructure
backOffLevel
. The default implementation returns
0.0
.
lambdaFudgeTerm
in class ProbabilityStructure
public Event getHistory(TrainerEvent trainerEvent, int backOffLevel)
ProbabilityStructure
getHistory
in class ProbabilityStructure
trainerEvent
- the event for which a history context is desired
for the specified back-off levelbackOffLevel
- the back-off level for which to get a history context
from the specified trainer event
Event
object that represents the history context
for the specified back-off levelpublic Event getFuture(TrainerEvent trainerEvent, int backOffLevel)
ProbabilityStructure
getFuture
in class ProbabilityStructure
trainerEvent
- the event from which a future is to be extractedbackOffLevel
- the back-off level for which to get the future event
Event
object that represents the future
for the specified back-off levelpublic ProbabilityStructure copy()
ProbabilityStructure
ProbabilityStructure
objects are used solely as
temporary storage during certain method invocations; therefore,
this copy method should simply return a new instance of the runtime
type of this ProbabilityStructure
object, with
freshly-created data members that are not deep copies of
the data members of this object. The general contract of the
copy method is slightly violated here, but without undue harm,
given the lack of persistent data of these types of objects. If a
concrete subclass has specific requirements for its data members
to be deeply copied, this method should be overridden.
copy
in class ProbabilityStructure
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