edu.northwestern.at.morphadorner.corpuslinguistics.stringsimilarity

Class JaroWinkler

java.lang.Object

edu.northwestern.at.morphadorner.corpuslinguistics.stringsimilarity.JaroWinkler

All Implemented Interfaces:

StringSimilarity

public class JaroWinkler
extends java.lang.Object
implements StringSimilarity

Winkler's reweighting scheme for distance metrics. In the literature, this was applied to the Jaro metric ('An Application of the Fellegi-Sunter Model of Record Linkage to the 1990 U.S. Decennial Census' by William E. Winkler and Yves Thibaudeau.)

Constructor Summary

Constructors

Constructor and Description
JaroWinkler() Create JaroWinkler instance.

Method Summary

Methods

Modifier and Type	Method and Description
static double	jwSimilarity(java.lang.String source, java.lang.String target) Verilen iki String'in benzerlik orann Jaro-Winkler algortimas kullanarak hesaplar.
double	similarity(java.lang.String s1, java.lang.String s2) Compute similarity of two strings using Jaro-Winkler.

Methods inherited from class java.lang.Object

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

Constructor Detail

JaroWinkler

public JaroWinkler()

Create JaroWinkler instance.

Method Detail

jwSimilarity

public static double jwSimilarity(java.lang.String source,
                  java.lang.String target)

Verilen iki String'in benzerlik orann Jaro-Winkler algortimas kullanarak hesaplar. Oluan sonu 0-1 arasndadr, 1'e yaklatka benzerlik artar, ayn stringler iin "1" dir

Parameters:

source -

target -

Returns:

Stringlerin benzerlik oran. stringler ayn ise 1

similarity

public double similarity(java.lang.String s1,
                java.lang.String s2)

Compute similarity of two strings using Jaro-Winkler.

Specified by:

similarity in interface StringSimilarity

Parameters:

s1 - First string.

s2 - Second string.

Returns:

Similarity measure in the range [0,1] .