NAME
Text::Brew - An implementation of the Brew edit distance
SYNOPSIS
my
(
$distance
,
$arrayref_edits
)=distance(
"four"
,
"foo"
);
my
$sequence
=
join
","
,
@$arrayref_edits
;
"The Brew distance for (four,foo) is $distance\n"
;
"obtained with the edits: $sequence\n\n"
;
DESCRIPTION
This module implements the Brew edit distance that is very close to the dynamic programming technique used for the Wagner-Fischer (and so for the Levenshtein) edit distance. Please look at the module references below. For more information about the Brew edit distance see: <http://ling.ohio-state.edu/~cbrew/795M/string-distance.html>
The difference here is that you have separated costs for the DELetion and INSertion operations (but with the default to 1 for both, you obtain the Levenshtein edit distance). But the most interesting feature is that you can obtain the description of the edits needed to transform the first string into the second one (not vice versa: here DELetions are separated from INSertions). The difference from the original algorithm by Chris Brew is that I have added the SUBST operation, making it different from MATCH operation.
The symbols used here are:
INITIAL that is the INITIAL operation (i.e. NO operation)
MATCH that is the MATCH operation (0 is the
default
cost)
SUBST that is the SUBSTitution operation (1 is the
default
cost)
DEL that is the DELetion operation (1 is the
default
cost)
INS that is the INSertion operation (1 is the
default
cost)
and you can change the default costs (see below).
You can make INS and DEL the same operation in a simple way:
1) give both the same cost
2) change the output string DEL to INS/DEL (o whatever)
3) change the output string INS to INS/DEL (o whatever)
USAGE
use
strict;
my
(
$distance
,
$arrayref_edits
)=distance(
"four"
,
"foo"
);
my
$sequence
=
join
","
,
@$arrayref_edits
;
"The Brew distance for (four,foo) is $distance\n"
;
"obtained with the edits: $sequence\n\n"
;
my
$string1
=
"foo"
;
my
@strings
=(
"four"
,
"foo"
,
"bar"
);
my
(
@dist
,
@edits
);
foreach
my
$string2
(
@strings
) {
my
(
$dist
,
$edits
)=distance(
$string1
,
$string2
);
push
@dist
,
$dist
;
push
@edits
,(
join
","
,
@$edits
);
}
foreach
my
$i
(0 ..
$#strings
) {
"The Brew distance for ($string1,$strings[$i]) is $dist[$i]\n"
;
"obtained with the edits: $edits[$i]\n\n"
;
}
OPTIONAL PARAMETERS
distance(
$string1
,
$string2
,{
-cost
=>[0,2,1,1],
-output
=>
'edits'
});
-output
accepted
values
are:
distance means that the distance returns
only the numeric distance
both the distance returns both the
numeric distance and the array of the edits
edits means that the distance returns only the
array of the edits
Default output is
'both'
.
-cost
accepted value is an array
with
4 elements:
1st is the cost
for
the MATCH
2nd is the cost
for
the INS (INSertion)
3rd is the cost
for
the DEL (DELetion)
4th is the cost
for
the SUBST (SUBSTitution)
Default array is [0,1,1,1] .
Examples are:
my
$distance
=distance(
"four"
,
"foo"
,{
-output
=>
'distance'
});
"The Brew distance for (four,foo) is $distance\n\n"
;
my
$arrayref_edits
=distance(
"four"
,
"foo"
,{
-output
=>
'edits'
});
my
$sequence
=
join
","
,
@$arrayref_edits
;
"The Brew sequence for (four,foo) is $sequence\n\n"
;
my
(
$distance
,
$arrayref_edits
)=distance(
"four"
,
"foo"
,{
-cost
=>[0,2,1,1]});
my
$sequence
=
join
","
,
@$arrayref_edits
;
"The Brew distance for (four,foo) is $distance\n"
;
"obtained with the edits: $sequence\n\n"
;
(
$distance
,
$arrayref_edits
)=distance(
"foo"
,
"four"
,{
-cost
=>[0,2,1,1]});
$sequence
=
join
","
,
@$arrayref_edits
;
"The Brew distance for (foo,four) is $distance\n"
;
"obtained with the edits: $sequence\n\n"
;
CREDITS
All the credits goes to Chris Brew the author of the algorithm.
THANKS
Many thanks to Stefano L. Rodighiero <larsen at perlmonk.org> for the suggestions.
AUTHOR
Copyright 2003 Dree Mistrut <dree@friuli.to>
This package is free software and is provided "as is" without express or implied warranty. You can redistribute it and/or modify it under the same terms as Perl itself.
SEE ALSO
Text::Levenshtein
, Text::WagnerFischer