mirror of
https://github.com/moses-smt/mosesdecoder.git
synced 2024-12-28 14:32:38 +03:00
ef028446f3
This is not pleasant to read (and much, much less pleasant to write!) but sort of necessary in an open project. Right now it's quite hard to figure out what is licensed how, which doesn't matter much to most people but can suddenly become very important when people want to know what they're being allowed to do. I kept the notices as short as I could. As far as I could see, everything without a clear license notice is LGPL v2.1 or later.
548 lines
21 KiB
Perl
Executable File
548 lines
21 KiB
Perl
Executable File
#!/usr/bin/env perl
|
|
#
|
|
# This file is part of moses. Its use is licensed under the GNU Lesser General
|
|
# Public License version 2.1 or, at your option, any later version.
|
|
|
|
# $Id$
|
|
#sentence-by-sentence: take in a system output, with any number of factors, and a reference translation, also maybe with factors, and show each sentence and its errors
|
|
#usage: sentence-by-sentence SYSOUT [REFERENCE]+ > sentences.html
|
|
|
|
use warnings;
|
|
use strict;
|
|
use Getopt::Long;
|
|
|
|
my $sourcefile = undef;
|
|
my @truthfiles;
|
|
GetOptions(
|
|
"source|s=s" => \$sourcefile,
|
|
"reference|r=s" => \@truthfiles
|
|
) or exit(1);
|
|
|
|
my @sysoutfiles = @ARGV;
|
|
if (scalar(@sysoutfiles) == 0 || scalar(@truthfiles) == 0)
|
|
{
|
|
print STDERR "usage: $0 system_output(s) > sentence-by-sentence.html
|
|
Options:
|
|
--source,-s STRING foreign input (can be used multiple times)
|
|
--reference,-r STRING English truth (can be used multiple times)
|
|
|
|
N-grams are colored by the number of supporting references:
|
|
red for fewest, green for most, mediate shades otherwise.\n";
|
|
exit(1);
|
|
}
|
|
|
|
####################################################################################################################
|
|
|
|
my @TRUTHS = () x scalar(@truthfiles);
|
|
for(my $i = 0; $i < scalar(@truthfiles); $i++)
|
|
{
|
|
open($TRUTHS[$i], "<$truthfiles[$i]") or die "couldn't open '$truthfiles[$i]' for read: $!\n";
|
|
binmode($TRUTHS[$i], ":utf8");
|
|
}
|
|
my @SYSOUTS = () x scalar(@sysoutfiles);
|
|
for(my $i = 0; $i < scalar(@sysoutfiles); $i++)
|
|
{
|
|
open($SYSOUTS[$i], "<$sysoutfiles[$i]") or die "couldn't open '$sysoutfiles[$i]' for read: $!\n";
|
|
binmode($SYSOUTS[$i], ":utf8");
|
|
}
|
|
binmode(STDOUT, ":utf8");
|
|
if (defined $sourcefile)
|
|
{
|
|
open(SOURCE, "<$sourcefile") or die "couldn't open '$sourcefile' for read: $!\n";
|
|
binmode(SOURCE, ":utf8");
|
|
}
|
|
my @bleuScores;
|
|
for(my $i = 0; $i < scalar(@sysoutfiles); $i++) {push @bleuScores, [];}
|
|
my @htmlSentences;
|
|
my @javascripts;
|
|
my @htmlColors = ('#99ff99', '#aaaaff', '#ffff99', '#ff9933', '#ff9999'); #color sentences by rank (split in n tiers)
|
|
my $ngramSingleRefColor = '#aaffaa';
|
|
my @ngramMultirefColors = ('#ff9999', '#ff9933', '#ffff99', '#a0a0ff', '#99ff99'); #arbitrary-length list; first entry is used for worst n-grams
|
|
my $numSentences = 0;
|
|
my (@sLines, @eLines);
|
|
while(readLines(\@SYSOUTS, \@sLines) && readLines(\@TRUTHS, \@eLines))
|
|
{
|
|
#create array of lines of HTML
|
|
my @html = ("<div class=\"sentence_%%%%\" id=\"sentence$numSentences\">"); #%%%% is a flag to be replaced
|
|
|
|
my (@sFactors, @eFactors, $sourceFactors);
|
|
#process source
|
|
if (defined $sourcefile)
|
|
{
|
|
my $sourceLine = <SOURCE>;
|
|
escapeMetachars($sourceLine); #remove inconsistencies in encoding
|
|
$sourceFactors = extractFactorArrays($sourceLine);
|
|
push @html, "<tr><td class=\"sent_title\">Source</td><td class=\"source_sentence\" id=\"source$numSentences\">"
|
|
. getFactoredSentenceHTML($sourceFactors) . "</td></tr>\n";
|
|
}
|
|
#process truth
|
|
for(my $j = 0; $j < scalar(@truthfiles); $j++)
|
|
{
|
|
escapeMetachars($eLines[$j]); #remove inconsistencies in encoding
|
|
push @eFactors, extractFactorArrays($eLines[$j]);
|
|
push @html, "<tr><td class=\"sent_title\">Ref $j</td><td class=\"truth_sentence\" id=\"truth${numSentences}_$j\">"
|
|
. getFactoredSentenceHTML($eFactors[$j]) . "</td></tr>\n";
|
|
}
|
|
#process sysouts
|
|
my @bleuData;
|
|
for(my $j = 0; $j < scalar(@sysoutfiles); $j++)
|
|
{
|
|
escapeMetachars($sLines[$j]); #remove inconsistencies in encoding
|
|
push @sFactors, extractFactorArrays($sLines[$j]);
|
|
push @bleuData, getBLEUSentenceDetails($sFactors[$j], \@eFactors, 0);
|
|
push @{$bleuScores[$j]}, [$numSentences, $bleuData[$j]->[0], 0]; #the last number will be the rank
|
|
my $pwerData = getPWERSentenceDetails($sFactors[$j], \@eFactors, 0);
|
|
push @html, "<tr><td class=\"sent_title\">Output $j</td><td class=\"sysout_sentence\" id=\"sysout$numSentences\">"
|
|
. getFactoredSentenceHTML($sFactors[$j], $pwerData) . "</td></tr>\n";
|
|
push @html, "<tr><td class=\"sent_title\">N-grams</td><td class=\"sysout_ngrams\" id=\"ngrams$numSentences\">"
|
|
. getAllNgramsHTML($sFactors[$j], $bleuData[$j]->[1], scalar(@truthfiles)) . "</td></tr>\n";
|
|
}
|
|
splice(@html, 1, 0, "<div class=\"bleu_report\"><b>Sentence $numSentences) BLEU:</b> "
|
|
. join("; ", map {sprintf("%.4lg", $_->[0]->[0]) . " (" . join('/', map {sprintf("%.4lg", $_)} @{$_->[0]}[1 .. 4]) . ") "} @bleuData) . "</div><table>\n");
|
|
push @html, "</table></div>\n";
|
|
push @htmlSentences, join('', @html);
|
|
$numSentences++;
|
|
@sLines = (); @eLines = (); #clear writable arrays to be refilled
|
|
}
|
|
foreach my $sysoutfh (@SYSOUTS) {close($sysoutfh);}
|
|
foreach my $truthfh (@TRUTHS) {close($truthfh);}
|
|
|
|
my $stylesheet = "<style type=\"text/css\">
|
|
.legend {background: #fff; border: 1px solid #000; padding: 2px; margin-bottom: 10px; margin-right: 15px}
|
|
.legend_title {font-weight: bold; font-size: medium; text-decoration: underline}
|
|
div.bleu_report {margin-bottom: 5px}
|
|
td.sent_title {font-weight: bold; font-size: medium; margin-bottom: 12px}
|
|
.source_sentence {background: #ffcccc; border: 1px solid #bbb}
|
|
.truth_sentence {background: #ccffcc; border: 1px solid #bbb}
|
|
.sysout_sentence {background: #ccccff; border: 1px solid #bbb}
|
|
table.sentence_table {border: none}
|
|
.sysout_ngrams {background: #fff; border: 1px solid #bbb}
|
|
table.ngram_table {}
|
|
td.ngram_cell {padding: 1px}\n";
|
|
for(my $i = 0; $i < scalar(@htmlColors); $i++)
|
|
{
|
|
$stylesheet .= ".sentence_tier$i {background: $htmlColors[$i]; border: 1px solid #000088; padding: 0px 8px 0px 8px} //entire composition for a given sentence\n";
|
|
$stylesheet .= "div.sentence_tier$i td {margin: 8px 0px 8px 0px}\n";
|
|
}
|
|
$stylesheet .= "</style>\n";
|
|
|
|
print "<html><head><meta http-equiv=\"Content-type\" content=\"text/html; charset=UTF-8\">\n";
|
|
print "<title>[" . join(', ', @sysoutfiles) . "] vs. [" . join(', ', @truthfiles) . "]: Sentence-by-Sentence Comparison</title>$stylesheet</head><body>\n";
|
|
|
|
foreach my $systemScores (@bleuScores) {rankSentencesByBLEU($systemScores);}
|
|
#javascript to sort by BLEU for any system, by order in corpus ...
|
|
print "<script type=\"text/javascript\">
|
|
var selectedSysout = 0; //index of system currently being used to rank/sort
|
|
|
|
function selectSysout(index)
|
|
{
|
|
//update the BLEU-range text shown in the legend
|
|
var legend = document.getElementById('legendBLEU');
|
|
var rows = legend.getElementsByTagName('tr');
|
|
for(var i = 0; i < rows.length; i++)
|
|
{
|
|
var cell = rows[i].childNodes[1];
|
|
var spans = cell.getElementsByTagName('span');
|
|
cell.childNodes[0].nodeValue = spans[index].firstChild.nodeValue; //something like '0.1 - 0.3'
|
|
}
|
|
|
|
//update the background colors of the sentence divs
|
|
var allSentences = document.getElementById('all_sentences');
|
|
var sentences = allSentences.childNodes;
|
|
for(var i = 0; i < sentences.length; i++)
|
|
{
|
|
if(typeof sentences[i].tagName != 'undefined' && sentences[i].tagName.toLowerCase() == 'div') //text nodes have undefined tagName
|
|
{
|
|
var tierSpans = sentences[i].firstChild.childNodes;
|
|
sentences[i].childNodes[2].className = tierSpans[index].firstChild.nodeValue; //something like 'tier3'
|
|
}
|
|
}
|
|
selectedSysout = index; //selectedSysout is a flag to the sort functions
|
|
}
|
|
|
|
function sortByBLEU()
|
|
{
|
|
var body = document.getElementById('all_sentences'); var row;
|
|
switch(selectedSysout)
|
|
{\n";
|
|
for(my $i = 0; $i < scalar(@sysoutfiles); $i++)
|
|
{
|
|
print "case $i:
|
|
{";
|
|
my %rank2index = map {$bleuScores[$i]->[$_]->[2] => $_} (0 .. scalar(@htmlSentences) - 1);
|
|
foreach my $rank (sort {$a <=> $b} keys %rank2index)
|
|
{
|
|
print "\trow = document.getElementById('everything" . $rank2index{$rank} . "');\n";
|
|
print "\tbody.removeChild(row); body.appendChild(row);\n";
|
|
}
|
|
print "break;}\n";
|
|
}
|
|
print "}
|
|
}
|
|
function sortByCorpusOrder()
|
|
{
|
|
var body = document.getElementById('all_sentences'); var row;\n";
|
|
for(my $j = 0; $j < scalar(@htmlSentences); $j++)
|
|
{
|
|
print "\trow = document.getElementById('everything$j');\n";
|
|
print "\tbody.removeChild(row); body.appendChild(row);\n";
|
|
}
|
|
print "}
|
|
</script>\n";
|
|
|
|
#legends for background colors of sentences and n-grams
|
|
my (@minBLEU, @maxBLEU);
|
|
my @bleuTiers = () x scalar(@htmlSentences); #for each sentence, arrayref of tier indices for each system
|
|
for(my $i = 0; $i < scalar(@sysoutfiles); $i++)
|
|
{
|
|
my @a = (1e9) x scalar(@htmlColors);
|
|
my @b = (-1e9) x scalar(@htmlColors);
|
|
for(my $k = 0; $k < scalar(@htmlSentences); $k++)
|
|
{
|
|
my $tier = int($bleuScores[$i]->[$k]->[2] / (scalar(@htmlSentences) / scalar(@htmlColors)));
|
|
push @{$bleuTiers[$k]}, $tier;
|
|
if($bleuScores[$i]->[$k]->[1]->[0] < $a[$tier]) {$a[$tier] = $bleuScores[$i]->[$k]->[1]->[0];}
|
|
if($bleuScores[$i]->[$k]->[1]->[0] > $b[$tier]) {$b[$tier] = $bleuScores[$i]->[$k]->[1]->[0];}
|
|
}
|
|
push @minBLEU, \@a;
|
|
push @maxBLEU, \@b;
|
|
}
|
|
print "<table border=0><tr><td><div id=\"legendBLEU\" class=\"legend\"><span class=\"legend_title\">Sentence Background Colors => BLEU Ranges</span><table border=0>";
|
|
for(my $k = 0; $k < scalar(@htmlColors); $k++)
|
|
{
|
|
print "<tr><td style=\"width: 15px; height: 15px; background: " . $htmlColors[$k] . "\"></td><td align=left style=\"padding-left: 12px\">"
|
|
. sprintf("%.4lg", $minBLEU[0]->[$k]) . " - " . sprintf("%.4lg", $maxBLEU[0]->[$k]);
|
|
for(my $j = 0; $j < scalar(@sysoutfiles); $j++)
|
|
{
|
|
print "<span style=\"display: none\">" . sprintf("%.4lg", $minBLEU[$j]->[$k]) . " - " . sprintf("%.4lg", $maxBLEU[$j]->[$k]) . "</span>";
|
|
}
|
|
print "</td></tr>";
|
|
}
|
|
print "</table></div></td>\n";
|
|
print "<td><div class=\"legend\"><span class=\"legend_title\">N-gram Colors => Number of Matching Reference Translations</span><table border=0>";
|
|
for(my $k = 1; $k <= scalar(@truthfiles); $k++)
|
|
{
|
|
print "<tr><td style=\"width: 15px; height: 15px; background: " . getNgramColorHTML($k, scalar(@truthfiles)) . "\"></td><td align=left style=\"padding-left: 12px\">$k</td></tr>";
|
|
}
|
|
print "</table></div></td></tr></table><div style=\"font-weight: bold; margin-bottom: 15px\">
|
|
PWER errors are marked in red on output sentence displays.</div>
|
|
<div style=\"margin-bottom: 8px\">Color by system # "
|
|
. join(' | ', map {"<a href=\"javascript:selectSysout($_);\">$_</a>" . (($_ == '0') ? " (default)" : "")} (0 .. scalar(@sysoutfiles) - 1)) . "</div>
|
|
<div style=\"margin-bottom: 8px\">Sort by <a href=\"javascript:sortByBLEU();\">BLEU score</a> | <a href=\"javascript:sortByCorpusOrder();\">corpus order</a> (default)</div>\n";
|
|
|
|
#sentence boxes
|
|
print "<div id=\"all_sentences\">";
|
|
for(my $j = 0; $j < scalar(@htmlSentences); $j++)
|
|
{
|
|
print "<div id=\"everything$j\" style=\"margin: 0px; padding: 0px\">";
|
|
print "<div class=\"ranks_container\" style=\"display: none\">" . join('', map {"<span>sentence_tier$_</span>"} @{$bleuTiers[$j]}) . "</div>";
|
|
print "<hr width=98%>";
|
|
# my $bgcolor = getSentenceBGColorHTML($bleuScores[0]->[$j], $i); #i is now # of sentences
|
|
my $tierNum = $bleuTiers[$j]->[0];
|
|
$htmlSentences[$j] =~ s/%%%%/tier$tierNum/;
|
|
print "$htmlSentences[$j]</div>\n";
|
|
}
|
|
print "</div></body></html>";
|
|
|
|
##################### utils #####################
|
|
|
|
#arguments: a, b (scalars)
|
|
sub min
|
|
{
|
|
my ($a, $b) = @_;
|
|
return ($a < $b) ? $a : $b;
|
|
}
|
|
#arguments: a, b (scalars)
|
|
sub max
|
|
{
|
|
my ($a, $b) = @_;
|
|
return ($a > $b) ? $a : $b;
|
|
}
|
|
#arguments: a list of elements
|
|
#return undef for an empty list, the max element otherwise
|
|
sub maxN
|
|
{
|
|
if(scalar @_ == 0) {return undef;}
|
|
my $val = shift @_;
|
|
foreach my $e (@_) {if($e > $val) {$val = $e;}}
|
|
return $val;
|
|
}
|
|
#arguments: x
|
|
sub my_log
|
|
{
|
|
return -9999999999 unless $_[0];
|
|
return log($_[0]);
|
|
}
|
|
#arguments: x
|
|
sub round
|
|
{
|
|
my $x = shift;
|
|
return ($x - int($x) < .5) ? int($x) : int($x) + 1;
|
|
}
|
|
|
|
#escape HTML metacharacters for display purposes and to allow for consistent string comparison
|
|
#arguments: string to be formatted in place
|
|
#return: none
|
|
sub escapeMetachars
|
|
{
|
|
my $str = shift;
|
|
$str =~ s/&\s+/& /;
|
|
$str =~ s/<\s+/< /;
|
|
$str =~ s/>\s+/> /;
|
|
}
|
|
|
|
###############################################################################################################################################################
|
|
|
|
#read one line from each of any number of filehandles
|
|
#arguments: arrayref of filehandles, (empty) arrayref to be filled with read lines
|
|
#return: 1 on success, 0 on failure (on failure the lines arrayref's value isn't defined)
|
|
sub readLines
|
|
{
|
|
my ($refFilehandles, $refLines) = @_;
|
|
foreach my $fh (@$refFilehandles)
|
|
{
|
|
my $line = <$fh>;
|
|
return 0 unless defined($line);
|
|
push @$refLines, $line;
|
|
}
|
|
return 1;
|
|
}
|
|
|
|
#arguments: line read from corpus file
|
|
#return: sentence (arrayref of arrayrefs of factor strings) taken from line
|
|
sub extractFactorArrays
|
|
{
|
|
my $line = shift;
|
|
die "" if !defined $line;
|
|
chomp $line;
|
|
$line =~ s/^\s*|\s*$//g; #added by Ondrej to handle moses-mert-parallel output
|
|
my @words = split(/\s+/, $line);
|
|
my @factors = map {my @f = split(/\|/, $_); \@f;} @words;
|
|
return \@factors;
|
|
}
|
|
|
|
#can handle multiple reference translations; assume at least one
|
|
#arguments: sysout sentence (arrayref of arrayrefs of factor strings), truth sentences (arrayref of same), factor index to use
|
|
#return: arrayref of [arrayref of [overall BLEU score, n-gram precisions], arrayref of matching n-gram [start index, length, arrayref of indices of matching references]]
|
|
sub getBLEUSentenceDetails
|
|
{
|
|
my $maxNgramOrder = 4;
|
|
my ($refSysOutput, $refTruths, $factorIndex) = @_;
|
|
my $length_translation = scalar(@$refSysOutput); #length of sysout sentence
|
|
my @length_references = map {scalar(@$_)} @$refTruths;
|
|
my $closestTruthLength = (sort(map {abs($_ - $length_translation)} @length_references))[0];
|
|
my @correct = (0) x $maxNgramOrder; #n-gram counts
|
|
my @total = (0) x $maxNgramOrder; #n-gram counts
|
|
my $returnData = [[], []];
|
|
my %REF_GRAM; #hash from n-gram to arrayref with # of times found in each reference
|
|
my $ngramMatches = []; #arrayref of n-gram [start index, length]
|
|
for(my $j = 0; $j < scalar(@$refTruths); $j++)
|
|
{
|
|
for(my $i = 0; $i < $length_references[$j]; $i++)
|
|
{
|
|
my $gram = '';
|
|
for(my $k = 0; $k < min($i + 1, $maxNgramOrder); $k++) #run over n-gram orders
|
|
{
|
|
$gram = $refTruths->[$j]->[$i - $k]->[$factorIndex] . " " . $gram;
|
|
#increment the count for the given n-gram and given reference number
|
|
if(!exists $REF_GRAM{$gram})
|
|
{
|
|
my @tmp = (0) x scalar @$refTruths;
|
|
$tmp[$j] = 1;
|
|
$REF_GRAM{$gram} = \@tmp;
|
|
}
|
|
else
|
|
{
|
|
$REF_GRAM{$gram}->[$j]++;
|
|
}
|
|
}
|
|
}
|
|
}
|
|
for(my $i = 0; $i < $length_translation; $i++)
|
|
{
|
|
my $gram = '';
|
|
for(my $k = 0; $k < min($i + 1, $maxNgramOrder); $k++) #run over n-gram orders
|
|
{
|
|
$gram = $refSysOutput->[$i - $k]->[$factorIndex] . " " . $gram;
|
|
if(exists $REF_GRAM{$gram}) #this n-gram was found in at least one reference
|
|
{
|
|
$correct[$k]++;
|
|
my @indices = ();
|
|
my $notOvercounting = 0; #make sure we don't 'match' against truth n-grams whose instances have all been used already
|
|
for(my $m = 0; $m < scalar(@{$REF_GRAM{$gram}}); $m++)
|
|
{
|
|
if($REF_GRAM{$gram}->[$m] > 0)
|
|
{
|
|
push @indices, $m;
|
|
$REF_GRAM{$gram}->[$m]--;
|
|
$notOvercounting = 1;
|
|
}
|
|
}
|
|
if($notOvercounting == 1) {push @$ngramMatches, [$i - $k, $k + 1, \@indices];}
|
|
}
|
|
}
|
|
}
|
|
my $brevity = ($length_translation > $closestTruthLength || $length_translation == 0) ? 1 : exp(1 - $closestTruthLength / $length_translation);
|
|
my @pct;
|
|
my ($logsum, $logcount) = (0, 0);
|
|
for(my $i = 0; $i < $maxNgramOrder; $i++)
|
|
{
|
|
$total[$i] = max(1, $length_translation - $i);
|
|
push @pct, ($total[$i] == 0) ? -1 : $correct[$i] / $total[$i];
|
|
if($total[$i] > 0)
|
|
{
|
|
$logsum += my_log($pct[$i]);
|
|
$logcount++;
|
|
}
|
|
}
|
|
my $bleu = $brevity * exp($logsum / $logcount);
|
|
$returnData->[0] = [$bleu, @pct];
|
|
$returnData->[1] = $ngramMatches;
|
|
return $returnData;
|
|
}
|
|
|
|
#can handle multiple sentence translations; assume at least one
|
|
#arguments: sysout sentence (arrayref of arrayrefs of factor strings), truth sentences (arrayref of same), factor index to use
|
|
#return: hashref of sysout word index => whether word matches
|
|
sub getPWERSentenceDetails
|
|
{
|
|
my ($refSysOutput, $refTruths, $factorIndex) = @_;
|
|
my $matches = {};
|
|
my %truthWords; #hash from word to arrayref with number of times seen in each reference (but later holds only the max)
|
|
for(my $i = 0; $i < scalar(@$refTruths); $i++)
|
|
{
|
|
foreach my $eWord (@{$refTruths->[$i]})
|
|
{
|
|
my $factor = $eWord->[$factorIndex];
|
|
if(exists $truthWords{$factor}) {$truthWords{$factor}->[$i]++;}
|
|
else {my @tmp = (0) x scalar(@$refTruths); $tmp[$i] = 1; $truthWords{$factor} = \@tmp;}
|
|
}
|
|
}
|
|
%truthWords = map {$_ => maxN(@{$truthWords{$_}})} (keys %truthWords); #save only the max times each word is seen in a reference
|
|
for(my $j = 0; $j < scalar(@$refSysOutput); $j++)
|
|
{
|
|
if(exists $truthWords{$refSysOutput->[$j]->[$factorIndex]} && $truthWords{$refSysOutput->[$j]->[$factorIndex]} > 0)
|
|
{
|
|
$truthWords{$refSysOutput->[$j]->[$factorIndex]}--;
|
|
$matches->{$j} = 1;
|
|
}
|
|
else
|
|
{
|
|
$matches->{$j} = 0;
|
|
}
|
|
}
|
|
return $matches;
|
|
}
|
|
|
|
#assign ranks to sentences by BLEU score
|
|
#arguments: arrayref of arrayrefs of [sentence index, arrayref of [bleu score, n-gram precisions], rank to be assigned]
|
|
#return: none
|
|
sub rankSentencesByBLEU
|
|
{
|
|
my $bleuData = shift;
|
|
my $i = 0;
|
|
#sort first on score, then on 1-gram accuracy, then on sentence index
|
|
foreach my $sentenceData (reverse sort {my $c = $a->[1]->[0] <=> $b->[1]->[0]; if($c == 0) {my $d = $a->[1]->[1] <=> $b->[1]->[1]; if($d == 0) {$a->[0] cmp $b->[0];} else {$d;}} else {$c;}} @$bleuData) {$sentenceData->[2] = $i++;}
|
|
}
|
|
|
|
###############################################################################################################################################################
|
|
|
|
#write HTML for a sentence containing factors (display words in a row)
|
|
#arguments: sentence (arrayref of arrayrefs of factor strings), PWER results (hashref from word indices to 0/1 whether matched a truth word)
|
|
#return: HTML string
|
|
sub getFactoredSentenceHTML
|
|
{
|
|
my $sentence = shift;
|
|
my $pwer = 0; if(scalar(@_) > 0) {$pwer = shift;}
|
|
my $html = "<table class=\"sentence_table\"><tr>";
|
|
for(my $i = 0; $i < scalar(@$sentence); $i++) #loop over words
|
|
{
|
|
my $style = ''; #default
|
|
if($pwer ne '0' && $pwer->{$i} == 0) {$style = 'color: #cc0000; font-weight: bold';}
|
|
$html .= "<td align=center style=\"$style\">" . join("<br>", @{$sentence->[$i]}) . "</td>";
|
|
}
|
|
return $html . "</tr></table>";
|
|
}
|
|
|
|
#arguments: arrayref of [sentence index, arrayref of [bleu score, n-gram precisions], rank], number of sentences
|
|
#return: HTML color string
|
|
sub getSentenceBGColorHTML
|
|
{
|
|
my ($scoreData, $numSentences) = @_;
|
|
my $tier = int($scoreData->[2] / ($numSentences / scalar(@htmlColors))); #0..n-1
|
|
return $htmlColors[$tier];
|
|
}
|
|
|
|
#display all matching n-grams in the given sentence, with all 1-grams on one line, then arranged by picking, for each, the first line on which it fits,
|
|
# where a given word position can only be filled by one n-gram per line, so that all n-grams can be shown
|
|
#arguments: sentence (arrayref of arrayrefs of factor strings), arrayref of arrayrefs of matching n-gram [start, length, arrayref of matching reference indices],
|
|
# number of reference translations
|
|
#return: HTML string
|
|
sub getAllNgramsHTML
|
|
{
|
|
my ($sentence, $ngrams, $numTruths) = @_;
|
|
my $factorIndex = 0;
|
|
my @table = (); #array or arrayrefs each of which represents a line; each position has the index of the occupying n-gram, or -1 if none
|
|
my $n = 0; #n-gram index
|
|
foreach my $ngram (sort {$a->[0] <=> $b->[0]} @$ngrams)
|
|
{
|
|
#check for an open slot in an existing row
|
|
my $foundRow = 0;
|
|
my $r = 0;
|
|
foreach my $row (@table)
|
|
{
|
|
if(rowIsClear($row, $ngram) == 1)
|
|
{
|
|
@{$row}[$ngram->[0] .. ($ngram->[0] + $ngram->[1] - 1)] = ($n) x $ngram->[1];
|
|
push @$ngram, $r; #add row index
|
|
$foundRow = 1;
|
|
last;
|
|
}
|
|
$r++;
|
|
}
|
|
#add row if necessary
|
|
if($foundRow == 0)
|
|
{
|
|
my @row = (-1) x scalar(@$sentence);
|
|
@row[$ngram->[0] .. ($ngram->[0] + $ngram->[1] - 1)] = ($n) x $ngram->[1];
|
|
push @$ngram, scalar(@table); #add row index
|
|
push @table, \@row;
|
|
}
|
|
$n++;
|
|
}
|
|
|
|
my $html = "<table class=\"ngram_table\"><tr><td align=center>" . join("</td><td align=center>", map {$_->[$factorIndex]} @$sentence) . "</td></tr>";
|
|
|
|
my $numWords = scalar(@$sentence);
|
|
my ($curRow, $curCol) = (0, 0); #address in table
|
|
$html .= "<tr>";
|
|
foreach my $ngram (sort {my $c = $a->[3] <=> $b->[3]; if($c == 0) {$a->[0] <=> $b->[0]} else {$c}} @$ngrams) #sort by row, then word num
|
|
{
|
|
while($ngram->[0] > $curCol || $ngram->[3] > $curRow) {$html .= "<td></td>"; $curCol = ($curCol + 1) % $numWords; if($curCol == 0) {$html .= "</tr><tr>"; $curRow++;}}
|
|
$html .= "<td colspan=" . $ngram->[1] . " align=center class=\"ngram_cell\" style=\"background: " . getNgramColorHTML(scalar(@{$ngram->[2]}), $numTruths) . "\">" . join(' ', map {$_->[$factorIndex]} @{$sentence}[$ngram->[0] .. $ngram->[0] + $ngram->[1] - 1]) . "</td>";
|
|
$curCol = ($curCol + $ngram->[1]) % $numWords; if($curCol == 0) {$html .= "</tr><tr>"; $curRow++;}
|
|
}
|
|
$html .= "</tr>";
|
|
|
|
return $html . "</table>\n";
|
|
}
|
|
|
|
#auxiliary to getAllNgramsHTML(): check a table row for an empty piece at the right place for the given n-gram
|
|
#arguments: row (arrayref of ints), n-gram (arrayref of [start index, length])
|
|
#return: whether (0/1) row is clear
|
|
sub rowIsClear
|
|
{
|
|
my ($row, $ngram) = @_;
|
|
return (maxN(@{$row}[$ngram->[0] .. $ngram->[0] + $ngram->[1] - 1]) == -1) ? 1 : 0;
|
|
}
|
|
|
|
#auxiliary to getAllNgramsHTML()
|
|
#arguments: number of reference translations matching the n-gram, total number of references
|
|
#return: HTML color string
|
|
sub getNgramColorHTML
|
|
{
|
|
my ($matches, $total) = @_;
|
|
if($total == 1) {return $ngramSingleRefColor;}
|
|
return $ngramMultirefColors[round($matches / $total * (scalar(@ngramMultirefColors) - 1))];
|
|
}
|