edu.stanford.nlp.parser.metrics

Class TsarfatyEval

java.lang.Object

edu.stanford.nlp.parser.metrics.AbstractEval

edu.stanford.nlp.parser.metrics.TsarfatyEval

All Implemented Interfaces:

Eval

public class TsarfatyEval
extends AbstractEval

Character level segmentation and tagging metric from (Tsarfaty, 2006). For evaluating parse trees at the character level, use Evalb with the charLevel flag set to true. NOTE: If segmentation markers (e.g. "+") appear in the input, then they should be stripped prior to running this metric.

Author:

Spence Green

Nested Class Summary

Nested classes/interfaces inherited from class edu.stanford.nlp.parser.metrics.AbstractEval

AbstractEval.CatErrorEval, AbstractEval.RuleErrorEval, AbstractEval.ScoreEval

Field Summary

Fields inherited from class edu.stanford.nlp.parser.metrics.AbstractEval

curF1, num, runningAverages, str

Constructor Summary

Constructors

Constructor and Description
TsarfatyEval(java.lang.String str, boolean tags)

Method Summary

Modifier and Type	Method and Description
static void	main(java.lang.String[] args) Run the scoring metric on guess/gold input.
protected java.util.Set<?>	makeObjects(Tree tree)

Methods inherited from class edu.stanford.nlp.parser.metrics.AbstractEval

display, display, evaluate, evaluate, evaluate, getEvalbF1, getEvalbF1Percent, getExact, getExactPercent, getLastF1, getNum, getSentAveF1, precision

Methods inherited from class java.lang.Object

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

Constructor Detail

TsarfatyEval

public TsarfatyEval(java.lang.String str,
                    boolean tags)

Method Detail

makeObjects

protected java.util.Set<?> makeObjects(Tree tree)

Specified by:

makeObjects in class AbstractEval

main

public static void main(java.lang.String[] args)

Run the scoring metric on guess/gold input. This method performs "Collinization." The default language is English.

Parameters:

args -