edu.stanford.nlp.fsm

Class DFSATransition<T,S>

java.lang.Object

edu.stanford.nlp.fsm.DFSATransition<T,S>

All Implemented Interfaces:

Scored

public final class DFSATransition<T,S>
extends Object
implements Scored

(D)FSA Transition

Class for representing a transition in a weighted finite state transducer. For now, just null out fields that may not apply. This should really be FSATransition as there's nothing deterministic-specific. If FSA is ever made, this should be abstracted. The ID is a descriptor, not a unique ID.

Author:

Dan Klein

Field Summary

Fields

Modifier and Type	Field and Description
protected DFSAState<T,S>	target

Constructor Summary

Constructors

Constructor and Description
DFSATransition(Object transitionID, DFSAState<T,S> source, DFSAState<T,S> target, T input, Object output, double score)

Method Summary

Methods

Modifier and Type	Method and Description
Object	getID()
T	getInput()
Object	getOutput()
DFSAState<T,S>	getSource()
DFSAState<T,S>	getTarget()
T	input()
Object	output()
double	score()
DFSAState<T,S>	source()
DFSAState<T,S>	target()
String	toString()

Methods inherited from class java.lang.Object

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

Field Detail

target

protected DFSAState<T,S> target

Constructor Detail

DFSATransition

public DFSATransition(Object transitionID,
              DFSAState<T,S> source,
              DFSAState<T,S> target,
              T input,
              Object output,
              double score)

Method Detail

getSource

public DFSAState<T,S> getSource()

source

public DFSAState<T,S> source()

getTarget

public DFSAState<T,S> getTarget()

target

public DFSAState<T,S> target()

getID

public Object getID()

score

public double score()

Specified by:

score in interface Scored

Returns:

The score of this thing.

getInput

public T getInput()

input

public T input()

getOutput

public Object getOutput()

output

public Object output()

toString

public String toString()

Overrides:

toString in class Object