rm

2 files changed, 0 insertions, 1220 deletions

diff --git a/mteval-v14.pl b/mteval-v14.pl
deleted file mode 100644
index 84a7549..0000000
--- a/mteval-v14.pl
+++ /dev/null
@@ -1,1179 +0,0 @@
-#!/usr/bin/env perl
-
-use warnings;
-use strict;
-use utf8;
-use Encode;
-use XML::Twig;
-use Sort::Naturally;
-
-binmode STDOUT, ":utf8";
-binmode STDERR, ":utf8";
-
-
-#################################
-# History:
-#
-# version 14
-#    (2016-03-29 lukas.diduch@nist.gov)
-#    * Fixed warning message in case seg-id is a string, by sorting in correct order using Sort::Naturally.
-#
-# version 13b
-#    * Fixed die 'bug' in case seg->id = 0 
-#
-# version 13a
-#    * modified the scoring functions to prevent division-by-zero errors when a system segment is empty
-#        * affected methods: 'bleu_score' and 'bleu_score_smoothing'
-#
-# version 13
-#    * Uses a XML parser to read data (only when extension is .xml)
-#    * Smoothing of the segment-level BLEU scores, done by default
-#        * smoothing method similar to that of bleu-1.04.pl (IBM)
-#        * see comments above the 'bleu_score' method for more details on how the smoothing is computed
-#        * added a '--no-smoothing' option to simulate old scripts behavior
-#    * Introduction of the 'brevity-penalty' option, taking one of two values:
-#        * 'closest' (default) : act as IBM BLEU (taking the closest reference translation length)
-#            * in case two reference translations are at the same distance, will take the shortest one
-#            * for more details regarding how the BP is computed, see comments of the 'brevity_penalty_closest' function
-#        * 'shortest' : act as previous versions of the script (taking shortest reference translation length)
-#    * Introduction of the 'international-tokenization' option, boolean, disabled by default
-#        by default (when the option is not provided), uses 11b's tokenization function
-#        when option specified, uses v12's tokenization function
-#    * Introduction of a 'Metrics MATR output' flag (option '--metricsMATR')
-#        when used, creates three files for both BLEU score and NIST score:
-#            * BLEU-seg.scr and NIST-seg.scr: contain segment-level scores
-#            * BLEU-doc.scr and NIST-doc.scr: contain document-level scores
-#            * BLEU-sys.scr and NIST-sys.scr: contain system-level scores
-#    * SGML parsing
-#        * script will halt if source, reference and test files don't share the same setid attribute value (used for metricsMATR output)
-#        * correct segment IDs extracted from the files (was previously using an array, and using the index as a segID for output)
-#    * detailed output flag (-d) can now be used when running both BLEU and NIST
-#
-# version 12
-#    * Text normalization changes:
-#        * convert entity references (only the entities declared in the DTD)
-#        * now uses unicode categories
-#        * tokenize punctuation unless followed AND preceded by digits
-#        * tokenize symbols
-#    * UTF-8 handling:
-#        * files are now read using utf8 mode
-#    * Added the '-e' command-line option to enclose non-ASCII characters between spaces
-#
-# version 11b -- text normalization modified:
-#    * take out the join digit line because it joins digits
-#      when it shouldn't have
-#      $norm_text =~ s/(\d)\s+(?=\d)/$1/g; #join digits
-#
-# version 11a -- corrected output of individual n-gram precision values
-#
-# version 11 -- bug fixes:
-#    * make filehandle operate in binary mode to prevent Perl from operating
-#      (by default in Red Hat 9) in UTF-8
-#    * fix failure on joining digits
-# version 10 -- updated output to include more details of n-gram scoring.
-#    Defaults to generate both NIST and BLEU scores.  Use -b for BLEU
-#    only, use -n for NIST only
-#
-# version 09d -- bug fix (for BLEU scoring, ngrams were fixed at 4
-#    being the max, regardless what was entered on the command line.)
-#
-# version 09c -- bug fix (During the calculation of ngram information,
-#    each ngram was being counted only once for each segment.  This has
-#    been fixed so that each ngram is counted correctly in each segment.)
-#
-# version 09b -- text normalization modified:
-#    * option flag added to preserve upper case
-#    * non-ASCII characters left in place.
-#
-# version 09a -- text normalization modified:
-#    * " and & converted to "" and &, respectively
-#    * non-ASCII characters kept together (bug fix)
-#
-# version 09 -- modified to accommodate sgml tag and attribute
-#    names revised to conform to default SGML conventions.
-#
-# version 08 -- modifies the NIST metric in accordance with the
-#    findings on the 2001 Chinese-English dry run corpus.  Also
-#    incorporates the BLEU metric as an option and supports the
-#    output of ngram detail.
-#
-# version 07 -- in response to the MT meeting on 28 Jan 2002 at ISI
-#    Keep strings of non-ASCII characters together as one word
-#    (rather than splitting them into one-character words).
-#    Change length penalty so that translations that are longer than
-#    the average reference translation are not penalized.
-#
-# version 06
-#    Prevent divide-by-zero when a segment has no evaluation N-grams.
-#    Correct segment index for level 3 debug output.
-#
-# version 05
-#    improve diagnostic error messages
-#
-# version 04
-#    tag segments
-#
-# version 03
-#    add detailed output option (intermediate document and segment scores)
-#
-# version 02
-#    accommodation of modified sgml tags and attributes
-#
-# version 01
-#    same as bleu version 15, but modified to provide formal score output.
-#
-# original IBM version
-#    Author: Kishore Papineni
-#    Date: 06/10/2001
-#################################
-
-######
-# Intro
-my ($date, $time) = date_time_stamp();
-print "MT evaluation scorer began on $date at $time\n";
-print "\ncommand line:  ", $0, " ", join(" ", @ARGV), "\n";
-my $usage = "\n\nUsage: $0 -r <ref_file> -s <src_file> -t <tst_file>\n\n".
-    "Description:  This Perl script evaluates MT system performance.\n".
-    "\n".
-    "Required arguments:\n".
-    "  -r <ref_file> is a file containing the reference translations for\n".
-    "      the documents to be evaluated.\n".
-    "  -s <src_file> is a file containing the source documents for which\n".
-    "      translations are to be evaluated\n".
-    "  -t <tst_file> is a file containing the translations to be evaluated\n".
-    "\n".
-    "Optional arguments:\n".
-    "  -h prints this help message to STDOUT\n".
-    "  -c preserves upper-case alphabetic characters\n".
-    "  -b generate BLEU scores only\n".
-    "  -n generate NIST scores only\n".
-    "  -d detailed output flag:\n".
-    "         0 (default) for system-level score only\n".
-    "         1 to include document-level scores\n".
-    "         2 to include segment-level scores\n".
-    "         3 to include ngram-level scores\n".
-    "  -e enclose non-ASCII characters between spaces\n".
-     "  --brevity-penalty ( closest | shortest )\n" .
-    "         closest (default) : acts as IBM BLEU (takes the closest reference translation length)\n" .
-    "         shortest : acts as previous versions of the script (takes the shortest reference translation length)\n" .
-    "  --international-tokenization\n" .
-    "         when specified, uses Unicode-based (only) tokenization rules\n" .
-    "         when not specified (default), uses default tokenization (some language-dependant rules)\n" .
-    "  --metricsMATR : create three files for both BLEU scores and NIST scores:\n" .
-    "         BLEU-seg.scr and NIST-seg.scr : segment-level scores\n" .
-    "         BLEU-doc.scr and NIST-doc.scr : document-level scores\n" .
-    "         BLEU-sys.scr and NIST-sys.scr : system-level scores\n" .
-    "  --no-smoothing : disable smoothing on BLEU scores\n" .
-    "\n";
- 
-use vars qw ($opt_r $opt_s $opt_t $opt_d $opt_h $opt_b $opt_n $opt_c $opt_x $opt_e);
-use Getopt::Long;
-my $ref_file = '';
-my $src_file = '';
-my $tst_file = '';
-my $detail = 0;
-my $help = '';
-my $preserve_case = '';
-my $split_non_ASCII = '';
-my $brevity_penalty = 'closest';
-my $international_tokenization;
-my $metricsMATR_output = '';
-my $no_smoothing = '';
-our $opt_x = '';
-our $opt_b = '';
-our $opt_n = '';
-GetOptions(
-	'r=s' => \$ref_file,
-	's=s' => \$src_file,
-	't=s' => \$tst_file,
-	'd:i' => \$detail,
-	'h|help' => \$help,
-	'b',
-	'n',
-	'c' => \$preserve_case,
-	'x:s',
-	'e' => \$split_non_ASCII,
-	'brevity-penalty:s' => \$brevity_penalty,
-	'international-tokenization' => \$international_tokenization,
-	'metricsMATR-output' => \$metricsMATR_output,
-	'no-smoothing' => \$no_smoothing
-);
-die $usage if $help;
-
-die "Error in command line:  ref_file not defined$usage" unless ( $ref_file );
-die "Error in command line:  src_file not defined$usage" unless ( $src_file );
-die "Error in command line:  tst_file not defined$usage" unless ( $tst_file );
-my $BLEU_BP;
-if ( !( $brevity_penalty cmp 'closest' ) )
-{
-	$BLEU_BP = \&brevity_penalty_closest;
-}
-elsif ( !( $brevity_penalty cmp 'shortest' ) )
-{
-	$BLEU_BP = \&brevity_penalty_shortest;
-}
-else
-{
-	die "Incorrect value supplied for 'brevity_penalty'$usage";
-}
-my $TOKENIZATION = \&tokenization;
-$TOKENIZATION = \&tokenization_international if ( $international_tokenization );
-
-my $BLEU_SCORE = \&bleu_score;
-$BLEU_SCORE = \&bleu_score_nosmoothing if ( $no_smoothing );
-
-my $max_Ngram = 9;
-
-my $METHOD = "BOTH";
-if ( $opt_b ) { $METHOD = "BLEU"; }
-if ( $opt_n ) { $METHOD = "NIST"; }
-my $method;
- 
-######
-# Global variables
-my ($src_lang, $tgt_lang, @tst_sys, @ref_sys); # evaluation parameters
-my (%tst_data, %ref_data); # the data -- with structure:  {system}{document}{segments}
-my ($src_id, $ref_id, $tst_id); # unique identifiers for ref and tst translation sets
-my %eval_docs;     # document information for the evaluation data set
-my %ngram_info;    # the information obtained from (the last word in) the ngram
-
-######
-# Get source document ID's
-($src_id) = get_source_info ($src_file);
-
-######
-# Get reference translations
-($ref_id) = get_MT_data (\%ref_data, "RefSet", $ref_file);
-
-compute_ngram_info ();
-
-######
-# Get translations to evaluate
-($tst_id) = get_MT_data (\%tst_data, "TstSet", $tst_file);
-
-######
-# Check data for completeness and correctness
-check_MT_data ();
-
-######
-#
-my %NISTmt;
-my %NISTOverall;
-my %BLEUmt;
-my %BLEUOverall;
-
-######
-# Evaluate
-print "\nEvaluation of $src_lang-to-$tgt_lang translation using:\n";
-my $cum_seg = 0;
-foreach my $doc (sort keys %eval_docs)
-{
-	$cum_seg += scalar( keys( %{$eval_docs{$doc}{SEGS}} ) );
-}
-print "    src set \"$src_id\" (", scalar keys %eval_docs, " docs, $cum_seg segs)\n";
-print "    ref set \"$ref_id\" (", scalar keys %ref_data, " refs)\n";
-print "    tst set \"$tst_id\" (", scalar keys %tst_data, " systems)\n\n";
- 
-foreach my $sys (sort @tst_sys)
-{
-	for (my $n=1; $n<=$max_Ngram; $n++)
-	{
-		$NISTmt{$n}{$sys}{cum} = 0;
-		$NISTmt{$n}{$sys}{ind} = 0;
-		$BLEUmt{$n}{$sys}{cum} = 0;
-		$BLEUmt{$n}{$sys}{ind} = 0;
-	}
-	if ( ($METHOD eq "BOTH") || ($METHOD eq "NIST") )
-	{
-		$method="NIST";
-		score_system ($sys, \%NISTmt, \%NISTOverall);
-	}
-	if ( ($METHOD eq "BOTH") || ($METHOD eq "BLEU") )
-	{
-		$method="BLEU";
-		score_system ($sys, \%BLEUmt, \%BLEUOverall);
-	}
-}
-
-######
-printout_report ();
-if ( $metricsMATR_output )
-{
-	outputMetricsMATR( 'NIST', %NISTOverall ) if ( ( $METHOD eq 'BOTH' ) || ( $METHOD eq 'NIST' ) );
-	outputMetricsMATR( 'BLEU', %BLEUOverall ) if ( ( $METHOD eq 'BOTH' ) || ( $METHOD eq 'BLEU' ) );
-}
-
-($date, $time) = date_time_stamp();
-print "\nMT evaluation scorer ended on $date at $time\n";
-
-exit 0;
-
-#################################
-
-sub get_source_info
-{
-	my ($file) = @_;
-	my ($name, $id, $src, $doc, $seg);
-	my ($data, $tag, $span);
-
-	# Extension of the file determines the parser used:
-	#   .xml       : XML::Twig
-	#   otherwise  : simple SGML parsing functions
-	if ( $file =~ /\.xml$/i )
-	{
-		my $twig = XML::Twig->new();
-		$twig->parsefile( $file );
-		my $root = $twig->root;
-		my $currentSet = $root->first_child( 'srcset' );
-		die "Source XML file '$file' does not contain the 'srcset' element" if ( not $currentSet );
-		$id = $currentSet->{ 'att' }->{ 'setid' } or die "No 'setid' attribute value in '$file'";
-		$src = $currentSet->{ 'att' }->{ 'srclang' } or die "No srcset 'srclang' attribute value in '$file'";
-		die "Not the same srclang attribute values across sets" unless ( not defined $src_lang or $src eq $src_lang );
-		$src_lang = $src;
-		foreach my $currentDoc ( $currentSet->get_xpath( './/doc' ) )
-		{
-			my $docID = $currentDoc->{ 'att' }->{ 'docid' } or die "No document 'docid' attribute value in '$file'";
-			foreach my $currentSeg ( $currentDoc->get_xpath( './/seg' ) )
-			{
-				
-				my $segID = $currentSeg->{ 'att' }->{ 'id' };
-				die "No segment 'id' attribute value in '$file'" if (! defined $segID);
-				my $segData = $currentSeg->text;
-				($eval_docs{$docID}{SEGS}{$segID}) = &{ $TOKENIZATION }( $segData );
-			}
-		}
-	}
-	else
-	{
-		#read data from file
-		open (FILE, $file) or die "\nUnable to open translation data file '$file'", $usage;
-		binmode FILE, ":utf8";
-		$data .= $_ while <FILE>;
-		close (FILE);
-
-		#get source set info
-		die "\n\nFATAL INPUT ERROR:  no 'src_set' tag in src_file '$file'\n\n"
-			unless ($tag, $span, $data) = extract_sgml_tag_and_span ("SrcSet", $data);
-		die "\n\nFATAL INPUT ERROR:  no tag attribute '$name' in file '$file'\n\n"
-			unless ($id) = extract_sgml_tag_attribute ($name="SetID", $tag);
-		die "\n\nFATAL INPUT ERROR:  no tag attribute '$name' in file '$file'\n\n"
-			unless ($src) = extract_sgml_tag_attribute ($name="SrcLang", $tag);
-		die "\n\nFATAL INPUT ERROR:  $name ('$src') in file '$file' inconsistent\n"
-			."                    with $name in previous input data ('$src_lang')\n\n"
-			unless (not defined $src_lang or $src eq $src_lang);
-		$src_lang = $src;
-
-		#get doc info -- ID and # of segs
-		$data = $span;
-		while (($tag, $span, $data) = extract_sgml_tag_and_span ("Doc", $data))
-		{
-			die "\n\nFATAL INPUT ERROR:  no tag attribute '$name' in file '$file'\n\n"
-				unless ($doc) = extract_sgml_tag_attribute ($name="DocID", $tag);
-			die "\n\nFATAL INPUT ERROR:  duplicate '$name' in file '$file'\n\n"
-				if defined $eval_docs{$doc};
-			$span =~ s/[\s\n\r]+/ /g;  # concatenate records
-			my $nseg=0, my $seg_data = $span;
-			while (($tag, $span, $seg_data) = extract_sgml_tag_and_span ("Seg", $seg_data))
-			{
-				die "\n\nFATAL INPUT ERROR:  no attribute '$name' in file '$file'\n\n"
-					unless ($seg) = extract_sgml_tag_attribute( $name='id', $tag );
-				($eval_docs{$doc}{SEGS}{$seg}) = &{ $TOKENIZATION }( $span );
-				$nseg++;
-			}
-			die "\n\nFATAL INPUT ERROR:  no segments in document '$doc' in file '$file'\n\n"
-				if $nseg == 0;
-		}
-		die "\n\nFATAL INPUT ERROR:  no documents in file '$file'\n\n"
-			unless keys %eval_docs > 0;
-	}
-	return $id;
-}
-
-#################################
-
-sub get_MT_data
-{
-	my ($docs, $set_tag, $file) = @_;
-	my ($name, $id, $src, $tgt, $sys, $doc, $seg);
-	my ($tag, $span, $data);
-
-	# Extension of the file determines the parser used:
-	#   .xml       : XML::Twig
-	#   otherwise  : simple SGML parsing functions
-	if ( $file =~ /\.xml$/i )
-	{
-		my $twig = XML::Twig->new();
-		$twig->parsefile( $file );
-		my $root = $twig->root;
-		foreach my $currentSet ( $root->get_xpath( 'refset' ), $root->get_xpath( 'tstset' ) )
-		{
-			$id = $currentSet->{ 'att' }->{ 'setid' } or die "No 'setid' attribute value in '$file'";
-			$src = $currentSet->{ 'att' }->{ 'srclang' } or die "No 'srclang' attribute value in '$file'";
-			$tgt = $currentSet->{ 'att' }->{ 'trglang' } or die "No 'trglang' attribute value in '$file'";
-			die "Not the same 'srclang' attribute value across sets" unless ( $src eq $src_lang );
-			die "Not the same 'trglang' attribute value across sets" unless ( ( not defined $tgt_lang ) or ( $tgt = $tgt_lang ) );
-			$tgt_lang = $tgt;
-			my $sys;
-			if ( $currentSet->name eq 'tstset' )
-			{
-				$sys = $currentSet->{ 'att' }->{ 'sysid' } or die "No 'sysid' attribute value in '$file'";
-			}
-			else
-			{
-				$sys = $currentSet->{ 'att' }->{ 'refid' } or die "No 'refid' attribute value in '$file'";
-			}
-			foreach my $currentDoc ( $currentSet->get_xpath( './/doc' ) )
-			{
-				my $docID = $currentDoc->{ 'att' }->{ 'docid' } or die "No document 'docid' attribute value in '$file'";
-				$docs->{ $sys }{ $docID }{ FILE } = $file;
-				foreach my $currentSeg ( $currentDoc->get_xpath( './/seg' ) )
-				{
-					my $segID = $currentSeg->{ 'att' }->{ 'id' };
-					die "No segment 'id' attribute value in '$file'" if (! defined $segID);
-					my $segData = $currentSeg->text;
-					($docs->{$sys}{$docID}{SEGS}{$segID}) = &{ $TOKENIZATION }( $segData );
-				}
-			}
-		}
-	}
-	else
-	{
-		#read data from file
-		open (FILE, $file) or die "\nUnable to open translation data file '$file'", $usage;
-		binmode FILE, ":utf8";
-		$data .= $_ while <FILE>;
-		close (FILE);
-
-		#get tag info
-		while (($tag, $span, $data) = extract_sgml_tag_and_span ($set_tag, $data))
-		{
-			die "\n\nFATAL INPUT ERROR:  no tag attribute '$name' in file '$file'\n\n"
-				unless ($id) = extract_sgml_tag_attribute ($name="SetID", $tag);
-			die "\n\nFATAL INPUT ERROR:  no tag attribute '$name' in file '$file'\n\n"
-				unless ($src) = extract_sgml_tag_attribute ($name="SrcLang", $tag);
-			die "\n\nFATAL INPUT ERROR:  $name ('$src') in file '$file' inconsistent\n"
-				."                    with $name of source ('$src_lang')\n\n"
-				unless $src eq $src_lang;
-			die "\n\nFATAL INPUT ERROR:  no tag attribute '$name' in file '$file'\n\n"
-				unless ($tgt) = extract_sgml_tag_attribute ($name="TrgLang", $tag);
-			die "\n\nFATAL INPUT ERROR:  $name ('$tgt') in file '$file' inconsistent\n"
-				."                    with $name of the evaluation ('$tgt_lang')\n\n"
-				unless (not defined $tgt_lang or $tgt eq $tgt_lang);
-			$tgt_lang = $tgt;
-
-			my $mtdata = $span;
-			while (($tag, $span, $mtdata) = extract_sgml_tag_and_span ("Doc", $mtdata))
-			{
-				die "\n\nFATAL INPUT ERROR:  no tag attribute '$name' in file '$file'\n\n"
-					unless (my $sys) = extract_sgml_tag_attribute ($name="SysID", $tag);
-				die "\n\nFATAL INPUT ERROR:  no tag attribute '$name' in file '$file'\n\n"
-					unless $doc = extract_sgml_tag_attribute ($name="DocID", $tag);
-				die "\n\nFATAL INPUT ERROR:  document '$doc' for system '$sys' in file '$file'\n"
-					."                    previously loaded from file '$docs->{$sys}{$doc}{FILE}'\n\n"
-					unless (not defined $docs->{$sys}{$doc});
-
-				$span =~ s/[\s\n\r]+/ /g;  # concatenate records
-				my $nseg=0, my $seg_data = $span;
-				while (($tag, $span, $seg_data) = extract_sgml_tag_and_span ("Seg", $seg_data))
-				{
-					die "\n\nFATAIL INPUT ERROR:  no tag attribute '$name' in file '$file'\n\n"
-						unless $seg = extract_sgml_tag_attribute( $name="id", $tag );
-					($docs->{$sys}{$doc}{SEGS}{$seg}) = &{ $TOKENIZATION }( $span );
-					$nseg++;
-				}
-				die "\n\nFATAL INPUT ERROR:  no segments in document '$doc' in file '$file'\n\n" if $nseg == 0;
-				$docs->{$sys}{$doc}{FILE} = $file;
-			}
-		}
-	}
-	return $id;
-}
-
-#################################
-
-sub check_MT_data
-{
-	@tst_sys = sort keys %tst_data;
-	@ref_sys = sort keys %ref_data;
-
-	die "Not the same 'setid' attribute values across files" unless ( ( $src_id eq $tst_id ) && ( $src_id eq $ref_id ) );
-
-#every evaluation document must be represented for every system and every reference
-	foreach my $doc (sort keys %eval_docs)
-	{
-		my $nseg_source = scalar( keys( %{$eval_docs{$doc}{SEGS}} ) );
-		foreach my $sys (@tst_sys)
-		{
-			die "\n\nFATAL ERROR:  no document '$doc' for system '$sys'\n\n" unless defined $tst_data{$sys}{$doc};
-			my $nseg = scalar( keys( %{$tst_data{$sys}{$doc}{SEGS}} ) );
-			die "\n\nFATAL ERROR:  translated documents must contain the same # of segments as the source, but\n"
-				."              document '$doc' for system '$sys' contains $nseg segments, while\n"
-				."              the source document contains $nseg_source segments.\n\n"
-				unless $nseg == $nseg_source;
-		}
-		foreach my $sys (@ref_sys)
-		{
-			die "\n\nFATAL ERROR:  no document '$doc' for reference '$sys'\n\n" unless defined $ref_data{$sys}{$doc};
-			my $nseg = scalar( keys( %{$ref_data{$sys}{$doc}{SEGS}} ) );
-			die "\n\nFATAL ERROR:  translated documents must contain the same # of segments as the source, but\n"
-				."              document '$doc' for system '$sys' contains $nseg segments, while\n"
-				."              the source document contains $nseg_source segments.\n\n"
-				unless $nseg == $nseg_source;
-		}
-	}
-}
-
-#################################
-
-sub compute_ngram_info
-{
-	my ($ref, $doc, $seg);
-	my (@wrds, $tot_wrds, %ngrams, $ngram, $mgram);
-	my (%ngram_count, @tot_ngrams);
-
-	foreach $ref (keys %ref_data)
-	{
-		foreach $doc (keys %{$ref_data{$ref}})
-		{
-			foreach $seg ( keys %{$ref_data{$ref}{$doc}{SEGS}})
-			{
-				@wrds = split /\s+/, $ref_data{ $ref }{ $doc }{ SEGS }{ $seg };
-				$tot_wrds += @wrds;
-				%ngrams = %{Words2Ngrams (@wrds)};
-				foreach $ngram (keys %ngrams)
-				{
-					$ngram_count{$ngram} += $ngrams{$ngram};
-				}
-			}
-		}
-	}
-
-	foreach $ngram (keys %ngram_count)
-	{
-		@wrds = split / /, $ngram;
-		pop @wrds, $mgram = join " ", @wrds;
-		$ngram_info{$ngram} = - log ($mgram ? $ngram_count{$ngram}/$ngram_count{$mgram} : $ngram_count{$ngram}/$tot_wrds) / log 2;
-		if (defined $opt_x and $opt_x eq "ngram info")
-		{
-			@wrds = split / /, $ngram;
-			printf "ngram info:%9.4f%6d%6d%8d%3d %s\n", $ngram_info{$ngram}, $ngram_count{$ngram},
-				$mgram ? $ngram_count{$mgram} : $tot_wrds, $tot_wrds, scalar @wrds, $ngram;
-		}
-	}
-}
-
-#################################
-
-sub score_system
-{
-	my ($sys, $ref, $doc, $SCOREmt, $overallScore);
-	($sys, $SCOREmt, $overallScore) = @_;
-	my ($ref_length, $match_cnt, $tst_cnt, $ref_cnt, $tst_info, $ref_info);
-	my ($cum_ref_length, @cum_match, @cum_tst_cnt, @cum_ref_cnt, @cum_tst_info, @cum_ref_info);
-
-	$cum_ref_length = 0;
-	for (my $j=1; $j<=$max_Ngram; $j++)
-	{
-		$cum_match[$j] = $cum_tst_cnt[$j] = $cum_ref_cnt[$j] = $cum_tst_info[$j] = $cum_ref_info[$j] = 0;
-	}
-	foreach $doc (sort keys %eval_docs)
-	{
-		($ref_length, $match_cnt, $tst_cnt, $ref_cnt, $tst_info, $ref_info) = score_document ($sys, $doc, $overallScore);
-		if ( $method eq "NIST" )
-		{
-			my %DOCmt = ();
-			my $docScore = nist_score( scalar( @ref_sys ), $match_cnt, $tst_cnt, $ref_cnt, $tst_info, $ref_info, $sys, \%DOCmt );
-			$overallScore->{ $sys }{ 'documents' }{ $doc }{ 'score' } = $docScore;
-			if ( $detail >= 1 )
-			{
-				printf "$method score using   5-grams = %.4f for system \"$sys\" on document \"$doc\" (%d segments, %d words)\n",
-				$docScore, scalar keys %{$tst_data{$sys}{$doc}{SEGS}}, $tst_cnt->[1];
-			}
-		}
-
-		if ( $method eq "BLEU" )
-		{
-			my %DOCmt = ();
-			my $docScore = &{$BLEU_SCORE}( $ref_length, $match_cnt, $tst_cnt, $sys, \%DOCmt );
-			$overallScore->{ $sys }{ 'documents' }{ $doc }{ 'score' } = $docScore;
-			if ( $detail >= 1 )
-			{
-				printf "$method score using   4-grams = %.4f for system \"$sys\" on document \"$doc\" (%d segments, %d words)\n",
-					$docScore, scalar keys %{$tst_data{$sys}{$doc}{SEGS}}, $tst_cnt->[1];
-			}
-		}
-
-		$cum_ref_length += $ref_length;
-		for (my $j=1; $j<=$max_Ngram; $j++)
-		{
-			$cum_match[$j] += $match_cnt->[$j];
-			$cum_tst_cnt[$j] += $tst_cnt->[$j];
-			$cum_ref_cnt[$j] += $ref_cnt->[$j];
-			$cum_tst_info[$j] += $tst_info->[$j];
-			$cum_ref_info[$j] += $ref_info->[$j];
-			printf "document info: $sys $doc %d-gram %d %d %d %9.4f %9.4f\n", $j, $match_cnt->[$j],
-				$tst_cnt->[$j], $ref_cnt->[$j], $tst_info->[$j], $ref_info->[$j]
-				if (defined $opt_x and $opt_x eq "document info");
-		}
-	}
-
-	if ($method eq "BLEU")
-	{
-		$overallScore->{ $sys }{ 'score' } = &{$BLEU_SCORE}($cum_ref_length, \@cum_match, \@cum_tst_cnt, $sys, $SCOREmt);
-	}
-	if ($method eq "NIST")
-	{
-		$overallScore->{ $sys }{ 'score' } = nist_score (scalar @ref_sys, \@cum_match, \@cum_tst_cnt, \@cum_ref_cnt, \@cum_tst_info, \@cum_ref_info, $sys, $SCOREmt);
-	}
-}
-
-#################################
-
-sub score_document
-{
-	my ($sys, $ref, $doc, $overallScore);
-	($sys, $doc, $overallScore) = @_;
-	my ($ref_length, $match_cnt, $tst_cnt, $ref_cnt, $tst_info, $ref_info);
-	my ($cum_ref_length, @cum_match, @cum_tst_cnt, @cum_ref_cnt, @cum_tst_info, @cum_ref_info);
-
-	$cum_ref_length = 0;
-	for (my $j=1; $j<=$max_Ngram; $j++)
-	{
-		$cum_match[$j] = $cum_tst_cnt[$j] = $cum_ref_cnt[$j] = $cum_tst_info[$j] = $cum_ref_info[$j] = 0;
-	}
-
-    # score each segment
-	foreach my $seg ( nsort keys( %{$tst_data{$sys}{$doc}{SEGS}} ) )
-	{
-
-		my @ref_segments = ();
-		foreach $ref (@ref_sys)
-		{
-			push @ref_segments, $ref_data{$ref}{$doc}{SEGS}{$seg};
-			if ( $detail >= 3 )
-			{
-				printf "ref '$ref', seg $seg: %s\n", $ref_data{$ref}{$doc}{SEGS}{$seg}
-			}
-			
-		}
-		
-		printf "sys '$sys', seg $seg: %s\n", $tst_data{$sys}{$doc}{SEGS}{$seg} if ( $detail >= 3 );
-		($ref_length, $match_cnt, $tst_cnt, $ref_cnt, $tst_info, $ref_info) = score_segment ($tst_data{$sys}{$doc}{SEGS}{$seg}, @ref_segments);
-
-		if ( $method eq "BLEU" )
-		{
-			my %DOCmt = ();
-			my $segScore = &{$BLEU_SCORE}($ref_length, $match_cnt, $tst_cnt, $sys, %DOCmt);
-			$overallScore->{ $sys }{ 'documents' }{ $doc }{ 'segments' }{ $seg }{ 'score' } = $segScore;
-			if ( $detail >= 2 )
-			{ 
-				printf "  $method score using 4-grams = %.4f for system \"$sys\" on segment $seg of document \"$doc\" (%d words)\n", $segScore, $tst_cnt->[1]
-			}
-		}
-		if ( $method eq "NIST" )
-		{
-			my %DOCmt = ();
-			my $segScore = nist_score (scalar @ref_sys, $match_cnt, $tst_cnt, $ref_cnt, $tst_info, $ref_info, $sys, %DOCmt);
-			$overallScore->{ $sys }{ 'documents' }{ $doc }{ 'segments' }{ $seg }{ 'score' } = $segScore;
-			if ( $detail >= 2 )
-			{ 
-				printf "  $method score using 5-grams = %.4f for system \"$sys\" on segment $seg of document \"$doc\" (%d words)\n", $segScore, $tst_cnt->[1];
-			}
-		}
-		$cum_ref_length += $ref_length;
-		for (my $j=1; $j<=$max_Ngram; $j++)
-		{
-			$cum_match[$j] += $match_cnt->[$j];
-			$cum_tst_cnt[$j] += $tst_cnt->[$j];
-			$cum_ref_cnt[$j] += $ref_cnt->[$j];
-			$cum_tst_info[$j] += $tst_info->[$j];
-			$cum_ref_info[$j] += $ref_info->[$j];
-		}
-	}
-	return ($cum_ref_length, [@cum_match], [@cum_tst_cnt], [@cum_ref_cnt], [@cum_tst_info], [@cum_ref_info]);
-}
-
-###############################################################################################################################
-# function returning the shortest reference length
-# takes as input:
-#  - currentLength : the current (shortest) reference length
-#  - referenceSentenceLength : the current reference sentence length
-#  - candidateSentenceLength : the current candidate sentence length (unused)
-###############################################################################################################################
-sub brevity_penalty_shortest
-{
-	my ( $currentLength, $referenceSentenceLength, $candidateSentenceLength ) = @_;
-	return ( $referenceSentenceLength < $currentLength ? $referenceSentenceLength : $currentLength );
-}
-
-###############################################################################################################################
-# function returning the closest reference length (to the candidate sentence length)
-# takes as input:
-#  - currentLength: the current (closest) reference length.
-#  - candidateSentenceLength : the current reference sentence length
-#  - candidateSentenceLength : the current candidate sentence length
-# when two reference sentences are at the same distance, it will return the shortest reference sentence length
-# example of 4 iterations, given:
-#  - one candidate sentence containing 7 tokens
-#  - one reference translation containing 11 tokens
-#  - one reference translation containing 8 tokens
-#  - one reference translation containing 6 tokens
-#  - one reference translation containing 7 tokens
-# the multiple invokations will return:
-#  - currentLength is set to 11 (outside of this function)
-#  - brevity_penalty_closest( 11, 8, 7 ) returns 8, since abs( 8 - 7 ) < abs( 11 - 7 )
-#  - brevity_penalty_closest( 8, 6, 7 ) returns 6, since abs( 8 - 7 ) == abs( 6 - 7 ) AND 6 < 8
-#  - brevity_penalty_closest( 7, 6, 7 ) returns 7, since abs( 7 - 7 ) < abs( 6 - 7 )
-###############################################################################################################################
-sub brevity_penalty_closest
-{
-	my ( $currentLength, $referenceSentenceLength, $candidateSentenceLength ) = @_;
-	my $result = $currentLength;
-	if ( abs( $candidateSentenceLength - $referenceSentenceLength ) <= abs( $candidateSentenceLength - $currentLength ) )
-	{
-		if ( abs( $candidateSentenceLength - $referenceSentenceLength ) == abs( $candidateSentenceLength - $currentLength ) )
-		{
-			if ( $currentLength > $referenceSentenceLength )
-			{
-				$result = $referenceSentenceLength;
-			}
-		}
-		else
-		{
-			$result = $referenceSentenceLength;
-		}
-	}
-	return $result;
-}
-
-#################################
-
-sub score_segment
-{
-	my ($tst_seg, @ref_segs) = @_;
-	my (@tst_wrds, %tst_ngrams, @match_count, @tst_count, @tst_info);
-	my (@ref_wrds, $ref_seg, %ref_ngrams, %ref_ngrams_max, @ref_count, @ref_info);
-	my ($ngram);
-	my (@nwrds_ref);
-	my $ref_length;
-
-	for (my $j=1; $j<= $max_Ngram; $j++)
-	{
-		$match_count[$j] = $tst_count[$j] = $ref_count[$j] = $tst_info[$j] = $ref_info[$j] = 0;
-	}
-
-# get the ngram counts for the test segment
-	@tst_wrds = split /\s+/, $tst_seg;
-	%tst_ngrams = %{Words2Ngrams (@tst_wrds)};
-	for (my $j=1; $j<=$max_Ngram; $j++)
-	{
-		# compute ngram counts
-		$tst_count[$j]  = $j<=@tst_wrds ? (@tst_wrds - $j + 1) : 0;
-	}
-
-# get the ngram counts for the reference segments
-	foreach $ref_seg (@ref_segs)
-	{
-		@ref_wrds = split /\s+/, $ref_seg;
-		%ref_ngrams = %{Words2Ngrams (@ref_wrds)};
-		foreach $ngram (keys %ref_ngrams)
-		{
-			# find the maximum # of occurrences
-			my @wrds = split / /, $ngram;
-			$ref_info[@wrds] += $ngram_info{$ngram};
-			$ref_ngrams_max{$ngram} = defined $ref_ngrams_max{$ngram} ? max ($ref_ngrams_max{$ngram}, $ref_ngrams{$ngram}) : $ref_ngrams{$ngram};
-		}
-		for (my $j=1; $j<=$max_Ngram; $j++)
-		{
-			# update ngram counts
-			$ref_count[$j] += $j<=@ref_wrds ? (@ref_wrds - $j + 1) : 0;
-		}
-		if ( not defined( $ref_length ) )
-		{
-			$ref_length = scalar( @ref_wrds );
-		}
-		else
-		{
-			$ref_length = &{$BLEU_BP}( $ref_length, scalar( @ref_wrds ), scalar( @tst_wrds ) );
-		}
-	}
-
-# accumulate scoring stats for tst_seg ngrams that match ref_seg ngrams
-	foreach $ngram (keys %tst_ngrams)
-	{
-		next unless defined $ref_ngrams_max{$ngram};
-		my @wrds = split / /, $ngram;
-		$tst_info[@wrds] += $ngram_info{$ngram} * min($tst_ngrams{$ngram},$ref_ngrams_max{$ngram});
-		$match_count[@wrds] += my $count = min($tst_ngrams{$ngram},$ref_ngrams_max{$ngram});
-		printf "%.2f info for each of $count %d-grams = '%s'\n", $ngram_info{$ngram}, scalar @wrds, $ngram
-			if $detail >= 3;
-	}
-
-	return ($ref_length, [@match_count], [@tst_count], [@ref_count], [@tst_info], [@ref_info]);
-}
-
-#################################
-
-sub bleu_score_nosmoothing
-{
-	my ($ref_length, $matching_ngrams, $tst_ngrams, $sys, $SCOREmt) = @_;
-	my $score = 0;
-	my $iscore = 0;
-
-	for ( my $j = 1; $j <= $max_Ngram; ++$j )
-	{
-		if ($matching_ngrams->[ $j ] == 0)
-		{
-			$SCOREmt->{ $j }{ $sys }{ cum }=0;
-		}
-		else
-		{
-			my $len_score = min (0, 1-$ref_length/$tst_ngrams->[1]);
-			# Cumulative N-Gram score
-			$score += log( $matching_ngrams->[ $j ] / $tst_ngrams->[ $j ] );
-			$SCOREmt->{ $j }{ $sys }{ cum } = exp( $score / $j + $len_score );
-			# Individual N-Gram score
-			$iscore = log( $matching_ngrams->[ $j ] / $tst_ngrams->[ $j ] );
-			$SCOREmt->{ $j }{ $sys }{ ind } = exp( $iscore );
-		}
-	}
-	return $SCOREmt->{ 4 }{ $sys }{ cum };
-}
-
-###############################################################################################################################
-# Default method used to compute the BLEU score, using smoothing.
-# Note that the method used can be overridden using the '--no-smoothing' command-line argument
-# The smoothing is computed by taking 1 / ( 2^k ), instead of 0, for each precision score whose matching n-gram count is null
-# k is 1 for the first 'n' value for which the n-gram match count is null
-# For example, if the text contains:
-#   - one 2-gram match
-#   - and (consequently) two 1-gram matches
-# the n-gram count for each individual precision score would be:
-#   - n=1  =>  prec_count = 2     (two unigrams)
-#   - n=2  =>  prec_count = 1     (one bigram)
-#   - n=3  =>  prec_count = 1/2   (no trigram,  taking 'smoothed' value of 1 / ( 2^k ), with k=1)
-#   - n=4  =>  prec_count = 1/4   (no fourgram, taking 'smoothed' value of 1 / ( 2^k ), with k=2)
-###############################################################################################################################
-sub bleu_score
-{
-	my ($ref_length, $matching_ngrams, $tst_ngrams, $sys, $SCOREmt) = @_;
-	my $score = 0;
-	my $iscore = 0;
-	my $exp_len_score = 0;
-	$exp_len_score = exp( min (0, 1 - $ref_length / $tst_ngrams->[ 1 ] ) ) if ( $tst_ngrams->[ 1 ] > 0 );
-	my $smooth = 1;
-	for ( my $j = 1; $j <= $max_Ngram; ++$j )
-	{
-		if ( $tst_ngrams->[ $j ] == 0 )
-		{
-			$iscore = 0;
-		}
-		elsif ( $matching_ngrams->[ $j ] == 0 )
-		{
-			$smooth *= 2;
-			$iscore = log( 1 / ( $smooth * $tst_ngrams->[ $j ] ) );
-		}
-		else
-		{
-			$iscore = log( $matching_ngrams->[ $j ] / $tst_ngrams->[ $j ] );
-		}
-		$SCOREmt->{ $j }{ $sys }{ ind } = exp( $iscore );
-		$score += $iscore;
-		$SCOREmt->{ $j }{ $sys }{ cum } = exp( $score / $j ) * $exp_len_score;
-	}
-	return $SCOREmt->{ 4 }{ $sys }{ cum };
-}
-
-#################################
-
-sub nist_score
-{
-	my ($nsys, $matching_ngrams, $tst_ngrams, $ref_ngrams, $tst_info, $ref_info, $sys, $SCOREmt) = @_;
-	my $score = 0;
-	my $iscore = 0;
-
-	for (my $n=1; $n<=$max_Ngram; $n++)
-	{
-		$score += $tst_info->[$n]/max($tst_ngrams->[$n],1);
-		$SCOREmt->{$n}{$sys}{cum} = $score * nist_length_penalty($tst_ngrams->[1]/($ref_ngrams->[1]/$nsys));
-		$iscore = $tst_info->[$n]/max($tst_ngrams->[$n],1);
-		$SCOREmt->{$n}{$sys}{ind} = $iscore * nist_length_penalty($tst_ngrams->[1]/($ref_ngrams->[1]/$nsys));
-	}
-	return $SCOREmt->{5}{$sys}{cum};
-}
-
-#################################
-
-sub Words2Ngrams
-{
-	#convert a string of words to an Ngram count hash
-	my %count = ();
-
-	for (; @_; shift)
-	{
-		my ($j, $ngram, $word);
-		for ($j=0; $j<$max_Ngram and defined($word=$_[$j]); $j++)
-		{
-			$ngram .= defined $ngram ? " $word" : $word;
-			$count{$ngram}++;
-		}
-	}
-	return {%count};
-}
-
-#################################
-
-sub tokenization
-{
-	my ($norm_text) = @_;
-
-# language-independent part:
-	$norm_text =~ s/<skipped>//g; # strip "skipped" tags
-	$norm_text =~ s/-\n//g; # strip end-of-line hyphenation and join lines
-	$norm_text =~ s/\n/ /g; # join lines
-	$norm_text =~ s/&quot;/"/g;  # convert SGML tag for quote to "
-	$norm_text =~ s/&amp;/&/g;   # convert SGML tag for ampersand to &
-	$norm_text =~ s/&lt;/</g;    # convert SGML tag for less-than to >
-	$norm_text =~ s/&gt;/>/g;    # convert SGML tag for greater-than to <
-
-# language-dependent part (assuming Western languages):
-	$norm_text = " $norm_text ";
-	$norm_text =~ tr/[A-Z]/[a-z]/ unless $preserve_case;
-	$norm_text =~ s/([\{-\~\[-\` -\&\(-\+\:-\@\/])/ $1 /g;   # tokenize punctuation
-	$norm_text =~ s/([^0-9])([\.,])/$1 $2 /g; # tokenize period and comma unless preceded by a digit
-	$norm_text =~ s/([\.,])([^0-9])/ $1 $2/g; # tokenize period and comma unless followed by a digit
-	$norm_text =~ s/([0-9])(-)/$1 $2 /g; # tokenize dash when preceded by a digit
-	$norm_text =~ s/\s+/ /g; # one space only between words
-	$norm_text =~ s/^\s+//;  # no leading space
-	$norm_text =~ s/\s+$//;  # no trailing space
-
-	return $norm_text;
-}
-
-
-sub tokenization_international
-{
-	my ($norm_text) = @_;
-
-	$norm_text =~ s/<skipped>//g; # strip "skipped" tags
-	#$norm_text =~ s/\p{Hyphen}\p{Zl}//g; # strip end-of-line hyphenation and join lines
-	$norm_text =~ s/\p{Zl}/ /g; # join lines
-
-	# replace entities
-	$norm_text =~ s/&quot;/\"/g;  # quote to "
-	$norm_text =~ s/&amp;/&/g;   # ampersand to &
-	$norm_text =~ s/&lt;/</g;    # less-than to <
-	$norm_text =~ s/&gt;/>/g;    # greater-than to >
-	$norm_text =~ s/&apos;/\'/g; # apostrophe to '
-
-	$norm_text = lc( $norm_text ) unless $preserve_case; # lowercasing if needed
-	$norm_text =~ s/([^[:ascii:]])/ $1 /g if ( $split_non_ASCII );
-
-	# punctuation: tokenize any punctuation unless followed AND preceded by a digit
-	$norm_text =~ s/(\P{N})(\p{P})/$1 $2 /g;
-	$norm_text =~ s/(\p{P})(\P{N})/ $1 $2/g;
-
-	$norm_text =~ s/(\p{S})/ $1 /g; # tokenize symbols
-
-	$norm_text =~ s/\p{Z}+/ /g; # one space only between words
-	$norm_text =~ s/^\p{Z}+//; # no leading space
-	$norm_text =~ s/\p{Z}+$//; # no trailing space
-
-	return $norm_text;
-}
-
-#################################
-
-sub nist_length_penalty
-{
-	my ($ratio) = @_;
-	return 1 if $ratio >= 1;
-	return 0 if $ratio <= 0;
-	my $ratio_x = 1.5;
-	my $score_x = 0.5;
-	my $beta = -log($score_x)/log($ratio_x)/log($ratio_x);
-	return exp (-$beta*log($ratio)*log($ratio));
-}
-
-#################################
-
-sub date_time_stamp
-{
-	my ($sec, $min, $hour, $mday, $mon, $year, $wday, $yday, $isdst) = localtime();
-	my @months = qw(Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec);
-	my ($date, $time);
-	$time = sprintf "%2.2d:%2.2d:%2.2d", $hour, $min, $sec;
-	$date = sprintf "%4.4s %3.3s %s", 1900+$year, $months[$mon], $mday;
-	return ($date, $time);
-}
-
-#################################
-
-sub extract_sgml_tag_and_span
-{
-	my ($name, $data) = @_;
-	($data =~ m|<$name\s*([^>]*)>(.*?)</$name\s*>(.*)|si) ? ($1, $2, $3) : ();
-}
-
-#################################
-
-sub extract_sgml_tag_attribute
-{
-	my ($name, $data) = @_;
-	($data =~ m|$name\s*=\s*\"([^\"]*)\"|si) ? ($1) : ();
-}
-
-#################################
-
-sub max
-{
-	my ($max, $next);
-
-	return unless defined ($max=pop);
-	while (defined ($next=pop))
-	{
-		$max = $next if $next > $max;
-	}
-	return $max;
-}
-
-#################################
-
-sub min
-{
-	my ($min, $next);
-
-	return unless defined ($min=pop);
-	while (defined ($next=pop))
-	{
-		$min = $next if $next < $min;
-	}
-	return $min;
-}
-
-#################################
-
-sub printout_report
-{
-	if ( $METHOD eq "BOTH" )
-	{
-		foreach my $sys (sort @tst_sys)
-		{
-			printf "NIST score = %2.4f  BLEU score = %.4f for system \"$sys\"\n",$NISTmt{5}{$sys}{cum},$BLEUmt{4}{$sys}{cum};
-		}
-	}
-	elsif ($METHOD eq "NIST" )
-	{
-		foreach my $sys (sort @tst_sys)
-		{
-			printf "NIST score = %2.4f  for system \"$sys\"\n",$NISTmt{5}{$sys}{cum};
-		}
-	}
-	elsif ($METHOD eq "BLEU" )
-	{
-		foreach my $sys (sort @tst_sys)
-		{
-			printf "\nBLEU score = %.4f for system \"$sys\"\n",$BLEUmt{4}{$sys}{cum};
-		}
-	}
-	printf "\n# ------------------------------------------------------------------------\n\n";
-	printf "Individual N-gram scoring\n";
-	printf "        1-gram   2-gram   3-gram   4-gram   5-gram   6-gram   7-gram   8-gram   9-gram\n";
-	printf "        ------   ------   ------   ------   ------   ------   ------   ------   ------\n";
-
-	if ( ( $METHOD eq "BOTH" ) || ($METHOD eq "NIST") )
-	{
-		foreach my $sys (sort @tst_sys)
-		{
-			printf " NIST:";
-			for (my $i=1; $i<=$max_Ngram; $i++)
-			{
-				printf "  %2.4f ",$NISTmt{$i}{$sys}{ind}
-			}
-			printf "  \"$sys\"\n";
-		}
-		printf "\n";
-	}
-
-	if ( ( $METHOD eq "BOTH" ) || ($METHOD eq "BLEU") )
-	{
-		foreach my $sys (sort @tst_sys)
-		{
-			printf " BLEU:";
-			for (my $i=1; $i<=$max_Ngram; $i++)
-			{
-				printf "  %2.4f ",$BLEUmt{$i}{$sys}{ind}
-			}
-			printf "  \"$sys\"\n";
-		}
-	}
-
-	printf "\n# ------------------------------------------------------------------------\n";
-	printf "\nCumulative N-gram scoring\n";
-	printf "        1-gram   2-gram   3-gram   4-gram   5-gram   6-gram   7-gram   8-gram   9-gram\n";
-	printf "        ------   ------   ------   ------   ------   ------   ------   ------   ------\n";
-
-	if (( $METHOD eq "BOTH" ) || ($METHOD eq "NIST"))
-	{
-		foreach my $sys (sort @tst_sys)
-		{
-			printf " NIST:";
-			for (my $i=1; $i<=$max_Ngram; $i++)
-			{
-				printf "  %2.4f ",$NISTmt{$i}{$sys}{cum}
-			}
-			printf "  \"$sys\"\n";
-		}
-	}
-	printf "\n";
-	if ( ( $METHOD eq "BOTH" ) || ($METHOD eq "BLEU") )
-	{
-		foreach my $sys (sort @tst_sys)
-		{
-			printf " BLEU:";
-			for (my $i=1; $i<=$max_Ngram; $i++)
-			{
-				printf "  %2.4f ",$BLEUmt{$i}{$sys}{cum}
-			}
-			printf "  \"$sys\"\n";
-		}
-	}
-}
-
-###############################################################################################################################
-# Create three files, by using:
-# - $prefix : the prefix used for the output file names
-# - %overall : a hash containing seg/doc/sys-level scores:
-#   - $overall{ $SYSTEM_ID }{ 'score' } => system-level score
-#   - $overall{ $SYSTEM_ID }{ 'documents' }{ $DOCUMENT_ID }{ 'score' } => document-level score
-#   - $overall{ $SYSTEM_ID }{ 'documents' }{ $DOCUMENT_ID }{ 'segments' }{ $SEGMENT_ID } => segment-level score
-###############################################################################################################################
-sub outputMetricsMATR
-{
-	my ( $prefix, %overall ) = @_;
-	my $fileNameSys = $prefix . '-sys.scr';
-	my $fileNameDoc = $prefix . '-doc.scr';
-	my $fileNameSeg = $prefix . '-seg.scr';
-	open FILEOUT_SYS, '>', $fileNameSys or die "Could not open file: ${fileNameSys}";
-	open FILEOUT_DOC, '>', $fileNameDoc or die "Could not open file: ${fileNameDoc}";
-	open FILEOUT_SEG, '>', $fileNameSeg or die "Could not open file: ${fileNameSeg}";
-	foreach my $sys ( sort( keys( %overall ) ) )
-	{
-		my $scoreSys = $overall{ $sys }{ 'score' };
-		print FILEOUT_SYS "${tst_id}\t${sys}\t${scoreSys}\n";
-		foreach my $doc ( sort( keys( %{$overall{ $sys }{ 'documents' }} ) ) )
-		{
-			my $scoreDoc = $overall{ $sys }{ 'documents' }{ $doc }{ 'score' };
-			print FILEOUT_DOC "${tst_id}\t${sys}\t${doc}\t${scoreDoc}\n";
-			foreach my $seg ( nsort keys( %{$overall{ $sys }{ 'documents' }{ $doc }{ 'segments' }} ) )
-			{
-				my $scoreSeg = $overall{ $sys }{ 'documents' }{ $doc }{ 'segments' }{ $seg }{ 'score' };
-				print FILEOUT_SEG "${tst_id}\t${sys}\t${doc}\t${seg}\t${scoreSeg}\n";
-			}
-		}
-	}
-	close FILEOUT_SEG;
-	close FILEOUT_DOC;
-	close FILEOUT_SYS;
-}
-
diff --git a/wrap-xml.perl b/wrap-xml.perl
deleted file mode 100755
index 06303b7..0000000
--- a/wrap-xml.perl
+++ /dev/null
@@ -1,41 +0,0 @@
-#!/usr/bin/perl -w
-# original: https://smt.googlecode.com/svn/trunk/moses64/tools/scripts/wrap-xml.perl
-# (licensed under LGPL)
-
-use strict;
-
-my $src = $ARGV[0];
-my $language = $ARGV[1];
-die("syntax: wrap-xml.perl xml-frame language [system-name]")
-    unless $src && $language && -e $src;
-my $system = "my-system";
-$system = $ARGV[2] if defined($ARGV[2]);
-
-open(SRC,$src);
-my @OUT = <STDIN>;
-chomp(@OUT);
-#my @OUT = `cat $decoder_output`;
-while(<SRC>) {
-    chomp;
-    if (/^<srcset/) {
-	s/<srcset/<tstset trglang="$language" sysid="$system"/;
-    }
-    elsif (/^<\/srcset/) {
-	s/<\/srcset/<\/tstset/;
-    }
-    elsif (/^<DOC/) {
-	s/<DOC/<DOC sysid="$system"/;
-    }
-    elsif (/<seg/) {
-	my $line = shift(@OUT);
-        $line = "" if $line =~ /NO BEST TRANSLATION/;
-        if (/<\/seg>/) {
-	  s/(<seg[^>]+> *).+(<\/seg>)/$1$line$2/;
-        }
-        else {
-	  s/(<seg[^>]+> *)[^<]+/$1$line/;
-        }
-    }
-    print $_."\n";
-}
-