kylm.model.ngram.smoother
Class GTSmoother
java.lang.Object
kylm.model.ngram.smoother.NgramSmoother
kylm.model.ngram.smoother.GTSmoother
- All Implemented Interfaces:
- java.io.Serializable
public class GTSmoother
- extends NgramSmoother
Calculate N-gram probabilities with Katz smoothing
TODO: This is not statistically sound when trimming
- Author:
- neubig
- See Also:
- Serialized Form
Constructor Summary |
GTSmoother()
Create a smoother and estimate the discounts automatically when it comes
time to smooth |
Method Summary |
java.lang.String |
getAbbr()
|
int |
getK()
|
java.lang.String |
getName()
|
void |
process(NgramLM lm,
NgramNode node,
float[] discounted,
int i,
int lev)
|
void |
setK(int k)
|
void |
smooth(NgramLM lm)
Smooth all the n-gram probabilities in a language model according to
the appropriate smoothing algorithm. |
Methods inherited from class java.lang.Object |
getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
GTSmoother
public GTSmoother()
- Create a smoother and estimate the discounts automatically when it comes
time to smooth
smooth
public void smooth(NgramLM lm)
- Description copied from class:
NgramSmoother
- Smooth all the n-gram probabilities in a language model according to
the appropriate smoothing algorithm.
- Specified by:
smooth
in class NgramSmoother
- Parameters:
lm
- The N-gram language model to smooth.
process
public void process(NgramLM lm,
NgramNode node,
float[] discounted,
int i,
int lev)
setK
public void setK(int k)
getK
public int getK()
getAbbr
public java.lang.String getAbbr()
- Specified by:
getAbbr
in class NgramSmoother
- Returns:
- The abbreviation given to this type of smoothing
getName
public java.lang.String getName()
- Specified by:
getName
in class NgramSmoother
- Returns:
- The name of this type of smoothing