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remove_duplicate_sentences.pl
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remove_duplicate_sentences.pl
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#!/usr/bin/env perl
# Removes duplicate sentences (text attribute), prints the rest to STDOUT.
# Copyright © 2017 Dan Zeman <[email protected]>
# License: GNU GPL
use utf8;
use open ':utf8';
binmode(STDIN, ':utf8');
binmode(STDOUT, ':utf8');
binmode(STDERR, ':utf8');
use Getopt::Long;
# An extra file can be designated as "training" data. This is useful if we are
# not concerned about duplicates within one file but rather about overlap
# between training and test file. The sentences from the training file will not
# be printed but they will be remembered and used to check for duplicates when
# filtering the sentences from the normal input ("test data"). If we want to
# remove overlapping sentences from the training data, just swap training and
# test when calling this script.
my $train;
GetOptions
(
'train=s' => \$train
);
my %h;
my @sentence;
if (defined($train))
{
open(TRAIN, $train) or die("Cannot read $train: $!");
while(<TRAIN>)
{
push(@sentence, $_);
if(m/^\s*$/)
{
process_sentence(0, @sentence);
@sentence = ();
}
}
close(TRAIN);
}
while(<>)
{
push(@sentence, $_);
if(m/^\s*$/)
{
process_sentence(1, @sentence);
@sentence = ();
}
}
#------------------------------------------------------------------------------
# Processes a sentence once it is completely read from the input.
#------------------------------------------------------------------------------
sub process_sentence
{
my $print = shift;
my @s = @_;
# Get the sentence text.
my $text;
foreach my $line (@s)
{
if($line =~ m/^\#\s*text\s*=\s*(.+)/)
{
$text = $1;
$text =~ s/\s+$//;
last;
}
}
if(!defined($text))
{
print STDERR ("WARNING: Sentence attribute text not found.\n");
}
# Only proceed if we have not seen this sentence before.
unless(exists($h{$text}))
{
$h{$text}++;
if ($print)
{
foreach my $line (@s)
{
print($line);
}
}
}
}