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hppr algorithm source code
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#!/usr/bin/perl -w
########################################################################################################################################################################################
## For a detailed description of this evaluation metric and source code, please read: #####
## This code is to implement the Machine Translation Evaluation metric HPPR #####
## HPPR evaluation metric is proposed by Aaron Li-Feng Han, Derek F. Wong, Lidia S. Chao, Liangye He, Shuo Li, and Ling Zhu in University of Macau #####
## This perl code is written by Aaron Li-Feng Han in university of macau, 2013.02 #####
## All Copyright (c) preserved by the authors. Corresponding author: Aaron Li-Feng Han < hanlifengaaron@gmail.com > #####
## Please cite paper below if you use the metric or source code in your research work #####
## "Phrase Tagset Mapping for French and English Treebanks and Its Application in Machine Translation Evaluation". 2013. Aaron Li-Feng Han, Derek F. Wong, Lidia S. Chao, #####
## Liangye He, Shuo Li, and Ling Zhu. Proceedings of the GSCL 2013, Germany. LNCS Vol. 8105, pp. 119–131. Volume Editors: Iryna Gurevych, Chris Biemann and Torsten Zesch. #####
## Source code website: https://github.com/aaronlifenghan/aaron-project-hppr #####
## Online paper: http://www.springer.com/computer/database+management+%26+information+retrieval/book/978-3-642-40721-5 #####
########################################################################################################################################################################################
## How to use this Perl code and how to assign the weights of sub-factors, e.g. n-gram position difference, n-gram Precision, n-gram Recall, and the ratio of Ps:Pr:Rc. #####
## 1. Your system output translation documents and the reference translation document should contain the plain text only, each line containing one sentence. #####
## 2. Put you system output translation documents under the address in Line 24, 60, 63 of this Perl code. #####
## 3. Put you reference translation document under the address in Line 30 of this Perl code. #####
## 4. Tune the ngram positon difference factor in Line 437,439；ngram precision and recall weights in Line 340, Ps:Pr:Rc value in Line 602-604 of this Perl code. #####
## 5. The document containing evaluation score of HPPR will be shown under the address in Line 66 of this Perl code. #####
## #####
########################################################################################################################################################################################
opendir (DIR, "D:\\AaronLiFengHan\\test NLEPOMS2\\UniDeal_ppos2012\\system-outputs\\newstest2012\\fr-en\\parsed.ppos") || die "can not open output file!"; ##Put you system output translation documents under the address
@filename=readdir(DIR);
closedir (DIR);
open REF,"<:encoding(utf8)","D:\\AaronLiFengHan\\test NLEPOMS2\\UniDeal_ppos2012\\src\\newstest2012-src.fr\\ppos\\Uni_ppos_newstest2012-ref.fr.tok.parsed.ppos.txt" or die "can't open reference\n"; ##Put you reference translation document under the address
$j=0;
$str1="";
@arry_r1=();
@arry_ref_length= ();
@arrytwo_ref_translation=();
$num_of_ref_sentence=0;
while($str1=<REF>) #### put the reference translation into a two dimension array @arrytwo_ref_translation
{
chomp($str1);
$str1= lc ($str1); ### when doing the matching, lower and upper case is concidered the same
@arry_r1= split(/\s+/,$str1);
$arry_ref_length[$j]=scalar(@arry_r1); #### @arry_ref_length store the lengths of every sentence(line) of the reference translation.
$j++;
push @arrytwo_ref_translation, [@arry_r1];
@arry_r1= ();
}
$num_of_ref_sentence=$j;
#print RESULT 'length of reference:',"\n","@arry_ref_length","\n",$j,"\n";
#print 'lines number of reference:',$j,"\n";
close REF;
foreach $file (@filename)
{
if(!(-d "D:\\AaronLiFengHan\\test NLEPOMS2\\UniDeal_ppos2012\\system-outputs\\newstest2012\\fr-en\\parsed.ppos\\$file")) ##Put you system output translation documents under the address
{
open (TEST,"<:encoding(utf8)","D:\\AaronLiFengHan\\test NLEPOMS2\\UniDeal_ppos2012\\system-outputs\\newstest2012\\fr-en\\parsed.ppos\\$file") || die "can not open file: $!"; ##Put you system output translation documents under the address
open (RESULT,">:encoding(utf8)","D:\\AaronLiFengHan\\test NLEPOMS2\\UniDeal_ppos2012\\system-outputs\\newstest2012\\fr-en\\parsed.ppos\\2NP3Pr3R_191_$file.txt") || die "$!"; ##The document containing evaluation score of HPPR will be shown under the address
$i=0;
$str0="";
@arry_1= ();
@arry_sys_length= ();
@arrytwo_sys_translation= ();
$sentence_num=0;
while($str0=<TEST>) #### put the system translation into a two dimension array @arrytwo_sys_translation
{
chomp($str0);
$str0= lc ($str0); ### both reference and system output translation is turned into lowwer case
@arry_1= split(/\s+/,$str0);
$arry_sys_length[$i]=scalar(@arry_1); #### @arry_sys_length store the lengths of every sentence(line) of the system translation.
$i++;
push @arrytwo_sys_translation, [@arry_1];
@arry_1= ();
}
$sentence_num=$i;
close TEST;
print RESULT 'length of sysoutput:',"\n","@arry_sys_length","\n",$sentence_num,"\n";
print RESULT 'length of reference:',"\n","@arry_ref_length","\n",$num_of_ref_sentence,"\n";
@LP= ();
for($k=0;$k<$sentence_num;$k++) ##### @LP store the longth penalty coefficient of every LP[i]
{
if($arry_sys_length[$k]>0 && $arry_ref_length[$k]>0)
{
if($arry_sys_length[$k]>$arry_ref_length[$k])
{
if($arry_ref_length[$k]>0)
{
$LP[$k]=exp(1-($arry_sys_length[$k]/$arry_ref_length[$k]));
}
else
{
$LP[$k]=0;
}
}
else
{
if($arry_sys_length[$k]==0)
{
$LP[$k]=0;
}
elsif($arry_sys_length[$k]>0)
{
$LP[$k]=exp(1-($arry_ref_length[$k]/$arry_sys_length[$k]));
}
#$LP[$k]=exp(1-($arry_ref_length[$k]/$arry_sys_length[$k]));
}
}
}
print RESULT 'length penalty with longer or shorter:',"\n","@LP","\n",$k,"\n";
$Mean_LP= 0;
for($k=0;$k<$sentence_num;$k++)
{
$Mean_LP=$Mean_LP+$LP[$k];
}
$Mean_LP= $Mean_LP/$sentence_num;
##$Mean_LP= $Mean_LP/2051;
print RESULT 'mean of length penalty with longer or shorter:',"\n","$Mean_LP","\n",$k,"\n";
@common_num=();
for($i=0;$i<$sentence_num;$i++) ##### store the unigram common number between sys and ref into @common_num
{
$m=0;@record_position=(); ####everytime,select one sentence from the sys, clear the record array
for($j=0;$j<$arry_sys_length[$i];$j++)
{
for($k=0;$k<$arry_ref_length[$i];$k++)
{
if($arrytwo_sys_translation[$i][$j] eq $arrytwo_ref_translation[$i][$k])
{
#if(!( any(@record_position) eq $k )) ####every word in the reference use not more than once to matched
if(!( grep(/^$k/,@record_position) )) ####every word in the reference use not more than once to matched
{
$common_num[$i]++;
$record_position[$m]=$k; $m++; ####record the position in the reference already matched
last; #### every word of the sys only match the reference once
}
}
}
}
}
print RESULT 'unigram common number between sys and ref:',"\n","@common_num","\n",$i,"\n";
@Similarity=(); ##### calculate the traditional unigram similarity and modified similarity scores
@MSimilarity=();
for($i=0;$i<$sentence_num;$i++)
{
if(($common_num[$i])!= 0)
{
$Similarity[$i]=2*$common_num[$i]/($arry_sys_length[$i]+$arry_ref_length[$i]);
$MSimilarity[$i]=$common_num[$i]*$common_num[$i]/($arry_sys_length[$i]*$arry_ref_length[$i]);
}
else
{
$Similarity[$i]=0;
$MSimilarity[$i]=0;
}
}
print RESULT 'unigram similarity of sys:',"\n","@Similarity","\n",$i,"\n";
print RESULT 'modified unigram similarity of sys:',"\n","@MSimilarity","\n",$i,"\n";
$Mean_Similarity=0;
$Mean_MSimilarity=0;
for($i=0;$i<$sentence_num;$i++)
{
$Mean_Similarity= $Mean_Similarity+$Similarity[$i];
$Mean_MSimilarity= $Mean_MSimilarity+$MSimilarity[$i];
}
$Mean_Similarity= $Mean_Similarity/$sentence_num;
$Mean_MSimilarity= $Mean_MSimilarity/$sentence_num;
print RESULT 'mean unigram similarity of sys:',"\n","$Mean_Similarity","\n",$i,"\n";
print RESULT 'mean modified unigram similarity of sys:',"\n","$Mean_MSimilarity","\n",$i,"\n";
@P= ();
@R= ();
for($i=0;$i<$sentence_num;$i++) #####calculate the unigram precision and recall into @P and @R
{
if(($common_num[$i])!= 0)
{
$P[$i]=$common_num[$i]/$arry_sys_length[$i];
$R[$i]=$common_num[$i]/$arry_ref_length[$i];
}
else
{
$P[$i]=0;
$R[$i]=0;
}
}
print RESULT 'unigram precision of sys:',"\n","@P","\n",$i,"\n";
print RESULT 'unigram recall of sys:',"\n","@R","\n",$i,"\n";
$Mean_precision=0;
$Mean_recall=0;
for($i=0;$i<$sentence_num;$i++)
{
$Mean_precision= $Mean_precision+$P[$i];
$Mean_recall= $Mean_recall+$R[$i];
}
$Mean_precision= $Mean_precision/$sentence_num;
$Mean_recall= $Mean_recall/$sentence_num;
print RESULT 'mean unigram precision of sys:',"\n","$Mean_precision","\n",$i,"\n";
print RESULT 'mean unigram recall of sys:',"\n","$Mean_recall","\n",$i,"\n";
@bigram_common_num=();
for($i=0;$i<$sentence_num;$i++) ##### store the bigram common number between sys and ref into @bigram_common_num
{
$m=0;@record_bigram_position=(); ####everytime,select one sentence from the sys, clear the record array
for($j=0;$j<$arry_sys_length[$i]-1;$j++)
{
for($k=0;$k<$arry_ref_length[$i]-1;$k++)
{
if($arrytwo_sys_translation[$i][$j] eq $arrytwo_ref_translation[$i][$k] && $arrytwo_sys_translation[$i][$j+1] eq $arrytwo_ref_translation[$i][$k+1])
{
#if(!( any(@record_position) eq $k )) ####every word in the reference use not more than once to matched
if(!( grep(/^$k/,@record_bigram_position) )) ####every word in the reference use not more than once to matched
{
$bigram_common_num[$i]++;
$record_bigram_position[$m]=$k; $m++; ####record the position in the reference already matched
last; #### every word of the sys only match the reference once (if this word in systemout has been aligned to one word in reference, then it must stop to align other word in reference)
}
}
}
}
}
print RESULT 'bigram common number between sys and ref:',"\n","@bigram_common_num","\n",$i,"\n";
@bigram_P= ();
@bigram_R= ();
for($i=0;$i<$sentence_num;$i++) #####calculate the bigram precision and recall into @bigram_P and @bigram_R
{
if(($bigram_common_num[$i])!= 0)
{
$bigram_P[$i]=$bigram_common_num[$i]/($arry_sys_length[$i]-1);
$bigram_R[$i]=$bigram_common_num[$i]/($arry_ref_length[$i]-1);
}
else
{
$bigram_P[$i]=0;
$bigram_R[$i]=0;
}
}
print RESULT 'bigram precision of sys:',"\n","@bigram_P","\n",$i,"\n";
print RESULT 'bigram recall of sys:',"\n","@bigram_R","\n",$i,"\n";
$Mean_bigram_precision=0;
$Mean_bigram_recall=0;
for($i=0;$i<$sentence_num;$i++)
{
$Mean_bigram_precision= $Mean_bigram_precision+$bigram_P[$i];
$Mean_bigram_recall= $Mean_bigram_recall+$bigram_R[$i];
}
$Mean_bigram_precision= $Mean_bigram_precision/$sentence_num;
$Mean_bigram_recall= $Mean_bigram_recall/$sentence_num;
print RESULT 'mean bigram precision of sys:',"\n","$Mean_bigram_precision","\n",$i,"\n";
print RESULT 'mean bigram recall of sys:',"\n","$Mean_bigram_recall","\n",$i,"\n";
@trigram_common_num=();
for($i=0;$i<$sentence_num;$i++) ##### store the trigram common number between sys and ref into @trigram_common_num
{
$m=0;@record_trigram_position=(); ####everytime,select one sentence from the sys, clear the record array
for($j=0;$j<$arry_sys_length[$i]-2;$j++)
{
for($k=0;$k<$arry_ref_length[$i]-2;$k++)
{
if(($arrytwo_sys_translation[$i][$j] eq $arrytwo_ref_translation[$i][$k]) && ($arrytwo_sys_translation[$i][$j+1] eq $arrytwo_ref_translation[$i][$k+1]) && ($arrytwo_sys_translation[$i][$j+2] eq $arrytwo_ref_translation[$i][$k+2]))
{
#if(!( any(@record_position) eq $k )) ####every word in the reference use not more than once to matched
if(!( grep(/^$k/,@record_trigram_position) )) ####every word in the reference use not more than once to matched
{
$trigram_common_num[$i]++;
$record_trigram_position[$m]=$k; $m++; ####record the position in the reference already matched
last; #### every word of the sys only match the reference once (if this word in systemout has been aligned to one word in reference, then it must stop to align other word in reference)
}
}
}
}
}
print RESULT 'trigram common number between sys and ref:',"\n","@trigram_common_num","\n",$i,"\n";
@trigram_P= ();
@trigram_R= ();
for($i=0;$i<$sentence_num;$i++) #####calculate the trigram precision and recall into @P and @R
{
if(($trigram_common_num[$i])!= 0)
{
$trigram_P[$i]=$trigram_common_num[$i]/($arry_sys_length[$i]-2);
$trigram_R[$i]=$trigram_common_num[$i]/($arry_ref_length[$i]-2);
}
else
{
$trigram_P[$i]=0;
$trigram_R[$i]=0;
}
}
print RESULT 'trigram precision of sys:',"\n","@trigram_P","\n",$i,"\n";
print RESULT 'trigram recall of sys:',"\n","@trigram_R","\n",$i,"\n";
$Mean_trigram_precision=0;
$Mean_trigram_recall=0;
for($i=0;$i<$sentence_num;$i++)
{
$Mean_trigram_precision= $Mean_trigram_precision+$trigram_P[$i];
$Mean_trigram_recall= $Mean_trigram_recall+$trigram_R[$i];
}
$Mean_trigram_precision= $Mean_trigram_precision/$sentence_num;
$Mean_trigram_recall= $Mean_trigram_recall/$sentence_num;
print RESULT 'mean trigram precision of sys:',"\n","$Mean_trigram_precision","\n",$i,"\n";
print RESULT 'mean trigram recall of sys:',"\n","$Mean_trigram_recall","\n",$i,"\n";
@merged_uni_bi_tri_gram_P= (); #####calculate the merged (weighted) unigram, bigram, trigram precision and recall into @P and @R
@merged_uni_bi_tri_gram_R= ();
$weight_uni_gram= 1/(1+2+3); ## tune the unigram, bigram and trigram precision (recall) weights
$weight_bi_gram= 2/(1+2+3);
$weight_tri_gram= 3/(1+2+3);
for($i=0;$i<$sentence_num;$i++)
{
if((($P[$i])>0)||(($bigram_P[$i])>0)||(($trigram_P[$i])>0))
{
$merged_uni_bi_tri_gram_P[$i]=$weight_uni_gram*$P[$i]+$weight_bi_gram*$bigram_P[$i]+$weight_tri_gram*$trigram_P[$i];
}
else
{
$merged_uni_bi_tri_gram_P[$i]=0;
}
}
for($i=0;$i<$sentence_num;$i++)
{
if((($R[$i])>0)||(($bigram_R[$i])>0)||(($trigram_R[$i])>0))
{
$merged_uni_bi_tri_gram_R[$i]=$weight_uni_gram*$R[$i]+$weight_bi_gram*$bigram_R[$i]+$weight_tri_gram*$trigram_R[$i];
}
else
{
$merged_uni_bi_tri_gram_R[$i]=0;
}
}
print RESULT 'merged uni_bi_tri_gram precision of sys:',"\n","@merged_uni_bi_tri_gram_P","\n",$i,"\n";
print RESULT 'merged uni_bi_tri_gram recall of sys:',"\n","@merged_uni_bi_tri_gram_R","\n",$i,"\n";
$Mean_uni_bi_tri_gram_precision=0;
$Mean_uni_bi_tri_gram_recall=0;
for($i=0;$i<$sentence_num;$i++)
{
$Mean_uni_bi_tri_gram_precision= $Mean_uni_bi_tri_gram_precision+$merged_uni_bi_tri_gram_P[$i];
$Mean_uni_bi_tri_gram_recall= $Mean_uni_bi_tri_gram_recall+$merged_uni_bi_tri_gram_R[$i];
}
$Mean_uni_bi_tri_gram_precision= $Mean_uni_bi_tri_gram_precision/$sentence_num;
$Mean_uni_bi_tri_gram_recall= $Mean_uni_bi_tri_gram_recall/$sentence_num;
print RESULT 'mean uni_bi_tri_gram precision of sys:',"\n","$Mean_uni_bi_tri_gram_precision","\n",$i,"\n";
print RESULT 'mean uni_bi_tri_gram recall of sys:',"\n","$Mean_uni_bi_tri_gram_recall","\n",$i,"\n";
#$a=9; #####$a is a varerble to be changed according to different language envirenment #### H(P,9R)
#$a=1/9; #####$a is a varerble to be changed according to different language envirenment#### H(9P,R)
$a=1; #####$a is a varerble to be changed according to different language envirenment#### H(P,R)
#$a=6/4; #####$a is a varerble to be changed according to different language envirenment#### H(4P,6R)
@Harmonic_mean_PR=();
for($i=0;$i<$sentence_num;$i++) ####calculate the harmonic mean of P and a*R
{
if($P[$i]!=0 || $R[$i]!=0)
{
$Harmonic_mean_PR[$i]=((1+$a)*$P[$i]*$R[$i])/($R[$i]+$a*$P[$i]);
}
else
{
$Harmonic_mean_PR[$i]=0;
}
}
print RESULT 'harmonic of precision and recall:',"\n","@Harmonic_mean_PR","\n",$i,"\n";
$Mean_HarmonicMean=0;
for($i=0;$i<$sentence_num;$i++)
{
$Mean_HarmonicMean= $Mean_HarmonicMean+ $Harmonic_mean_PR[$i];
}
$Mean_HarmonicMean= $Mean_HarmonicMean/$sentence_num;
print RESULT 'mean of every sentences harmonic-mean of precision and recall:',"\n","$Mean_HarmonicMean","\n",$i,"\n";
@pos_dif=();
@pos_dif_record= ();
@pos_dif_record_flag= ();
@pos_dif_record_ref_flag= ();
for($i=0;$i<$sentence_num;$i++) ##### store the position-different value between sys and ref into @pos_dif
{
for($j=0;$j<$arry_sys_length[$i];$j++)
{
$pos_dif_record_flag[$i][$j]= "none_match"; ##firstly make every system translation word's flag equal to none
#$store_ref_pos=-1000;
for($k=0;$k<$arry_ref_length[$i];$k++)
{
$pos_dif_record_ref_flag[$i][$k]= "un_confirmed";
if($arrytwo_sys_translation[$i][$j] eq $arrytwo_ref_translation[$i][$k])
{
$pos_dif_record_flag[$i][$j]= "exist_match"; ##if there is match,then change the flag as exist_match
$flag_confirm=0;
if ($j eq 0) ###this word is in the begining of sys-output sentence,then check its next word match-condition
{
$condition=0;
for($count_num_sys=1;$count_num_sys<=2;$count_num_sys++) ##check the following two words' match ## tune the ngram position difference factor
{
for($count_num_ref=1;$count_num_ref<=2;$count_num_ref++)##to match the reference following two words ## tune the ngram position difference factor
{
if($arrytwo_sys_translation[$i][$j+$count_num_sys] eq $arrytwo_ref_translation[$i][$k+$count_num_ref])
{
$pos_dif_record_flag[$i][$j]= "confirm_match"; ##if the context is also matched then confirm this match
$pos_dif_record_ref_flag[$i][$k]= "is_confirmed";
$pos_dif_record[$i][$j]= $k; ####record the matched position
$flag_confirm=1;
$condition=1;
last;
}
}
if($condition==1) ##check whether it is matched in last loop
{
last;
}
}
}
elsif (($j eq ($arry_sys_length[$i]-1))|| ($j eq ($arry_sys_length[$i]-2))) ##this word is '.' or a word in the end of the sys-output sentence
{
$condition=0;
for($count_num_sys=1;$count_num_sys<=2;$count_num_sys++) ##check the before two words' match
{
for($count_num_ref=1;$count_num_ref<=2;$count_num_ref++)##to match the reference before two words
{
if($arrytwo_sys_translation[$i][$j-$count_num_sys] eq $arrytwo_ref_translation[$i][$k-$count_num_ref])
{
$pos_dif_record_flag[$i][$j]= "confirm_match"; ##if the context is also matched then confirm this match
$pos_dif_record_ref_flag[$i][$k]= "is_confirmed";
$pos_dif_record[$i][$j]= $k;###record the matched position
$flag_confirm=1;
$condition=1;
last;
}
}
if($condition==1) ##check whether it is matched in last loop
{
last;
}
}
}
else ### this word is in the middle of sys-output sentence,not beginnin and not end
{
$condition=0;
for($count_num_sys=-2;$count_num_sys<2;$count_num_sys++) ##check the former and back two words' match
{
for($count_num_ref=-2;$count_num_ref<=2;$count_num_ref++)##to match the former and back two words' match
{
if($arrytwo_sys_translation[$i][$j+$count_num_sys] eq $arrytwo_ref_translation[$i][$k+$count_num_ref])
{
$pos_dif_record_flag[$i][$j]= "confirm_match"; ##if the context is also matched then confirm this match
$pos_dif_record_ref_flag[$i][$k]= "is_confirmed";
$pos_dif_record[$i][$j]= $k;###record the matched position
$flag_confirm=1;
$condition=1;
last;
}
}
if($condition==1) ##check whether it is matched in last loop
{
last;
}
}
}
if($flag_confirm==1)##if confirm_match has been down,then the following words in ref neednot go through to match again
{
last;
}
}
}
}
for($j=0;$j<$arry_sys_length[$i];$j++)###after all the confirm_match has done,then deal with the exist but not confirmed match,using nearest-match
{
$store_ref_unconfirm_pos=-10000;
for($k=0;$k<$arry_ref_length[$i];$k++)
{
if($pos_dif_record_flag[$i][$j] eq "exist_match") #deal with the existed but not confirmed word in sys-output
{
if($arrytwo_sys_translation[$i][$j] eq $arrytwo_ref_translation[$i][$k])
{
#if(!( grep(/^$k/,@record_position) )) ####every word in the reference use not more than once to matched
#if(!(grep(/^$k/,@)))##check whether position k has been confirmed
if($pos_dif_record_ref_flag[$i][$k] eq "un_confirmed")##this ref-word has not been confirmed
{
if( abs($k-$j) < abs($store_ref_unconfirm_pos-$j)) ##select the nearest word from ref to match sys-word
{
$store_ref_unconfirm_pos=$k;
}
}
}
}
}
if($store_ref_unconfirm_pos>=0)
{
$pos_dif_record[$i][$j]= $store_ref_unconfirm_pos;###record the nearest matched position
}
}
for($j=0;$j<$arry_sys_length[$i];$j++)##after all the matched postion recored,then calculate each word's Pos-Diff value
{
if($pos_dif_record_flag[$i][$j] eq "none_match")
{
##$pos_dif[$i][$j]= abs(($store_ref_pos+1)/$arry_ref_length[$i]-($j+1)/$arry_sys_length[$i]);
##$pos_dif[$i][$j]=0;
$pos_dif[$i][$j]= abs((($j+1)/$arry_sys_length[$i])-0);
}
else ##calculate the matched word's PosDiff
{
$pos_dif[$i][$j]= abs((($j+1)/$arry_sys_length[$i])-(($pos_dif_record[$i][$j]+1)/$arry_ref_length[$i]));
}
}
}
@Pos_dif_sum= ();
@Pos_dif_value= ();
for($i=0;$i<$sentence_num;$i++)
{
for($j=0;$j<$arry_sys_length[$i];$j++) #### sum the Pos_dif_distance of one sentence,then divided by the lenth of the sentence
{
$Pos_dif_sum[$i]= $Pos_dif_sum[$i] + $pos_dif[$i][$j];
}
if($arry_sys_length[$i]>0)
{
$Pos_dif_sum[$i]=$Pos_dif_sum[$i]/$arry_sys_length[$i];
$Pos_dif_value[$i]= exp(-$Pos_dif_sum[$i]); #### calculate the every sentence's value of Pos_dif_value by taking the exp.
}
#$Pos_dif_sum[$i]=$Pos_dif_sum[$i]/$arry_sys_length[$i];
#$Pos_dif_value[$i]= exp(-$Pos_dif_sum[$i]); #### calculate the every sentence's value of Pos_dif_value by taking the exp.
}
print RESULT 'Position different penalty:',"\n","@Pos_dif_value","\n",$i,"\n";
$Mean_pos_dif_value=0;
for($i=0;$i<$sentence_num;$i++)
{
$Mean_pos_dif_value= $Mean_pos_dif_value+$Pos_dif_value[$i];
}
$Mean_pos_dif_value= $Mean_pos_dif_value/$sentence_num;
print RESULT 'mean Position different penalty:',"\n","$Mean_pos_dif_value","\n",$i,"\n";
$Mean_uni_bi_tri_gram_precision=0;
$Mean_uni_bi_tri_gram_recall=0;
for($i=0;$i<$sentence_num;$i++)
{
$Mean_uni_bi_tri_gram_precision= $Mean_uni_bi_tri_gram_precision+$merged_uni_bi_tri_gram_P[$i];
$Mean_uni_bi_tri_gram_recall= $Mean_uni_bi_tri_gram_recall+$merged_uni_bi_tri_gram_R[$i];
}
$Mean_uni_bi_tri_gram_precision= $Mean_uni_bi_tri_gram_precision/$sentence_num;
$Mean_uni_bi_tri_gram_recall= $Mean_uni_bi_tri_gram_recall/$sentence_num;
print RESULT 'mean uni_bi_tri_gram precision of sys:',"\n","$Mean_uni_bi_tri_gram_precision","\n",$i,"\n";
print RESULT 'mean uni_bi_tri_gram recall of sys:',"\n","$Mean_uni_bi_tri_gram_recall","\n",$i,"\n";
@NPosP_Preci_Recall_single_sentence=(); ###NHarPPO_merge3grampricision n-gram based harmonic of 3gram Precision and bigram-Position Order.
$Har_NPosP_Preci_Recall=0;
##$weight_mergeRecall=0;
$weight_mergeRecall=1; ### tune the Ps:Pr:Rc (Ps means ngram Position difference penalty, Pr means merged ngram Precision, Rc means merged ngram Recall)
$weight_mergePrecision=9; ### tune the Ps:Pr:Rc (Ps means ngram Position difference penalty, Pr means merged ngram Precision, Rc means merged ngram Recall)
$weight_Pos=1; ### tune the Ps:Pr:Rc (Ps means ngram Position difference penalty, Pr means merged ngram Precision, Rc means merged ngram Recall)
for($i=0;$i<$sentence_num;$i++) #### calculate the final evaluation value of Har_NPosP_Preci_Recall
{
if($merged_uni_bi_tri_gram_P[$i]>0 && $Pos_dif_value[$i]>0 && $merged_uni_bi_tri_gram_R[$i]>0)
{
$NPosP_Preci_Recall_single_sentence[$i]= ($weight_mergePrecision+$weight_Pos+$weight_mergeRecall)/($weight_mergePrecision/$merged_uni_bi_tri_gram_P[$i]+$weight_Pos/$Pos_dif_value[$i]+$weight_mergeRecall/$merged_uni_bi_tri_gram_R[$i]);
}
else
{
$NPosP_Preci_Recall_single_sentence[$i]=0;
}
$Har_NPosP_Preci_Recall= $Har_NPosP_Preci_Recall+$NPosP_Preci_Recall_single_sentence[$i];
}
$Har_NPosP_Preci_Recall= $Har_NPosP_Preci_Recall/$sentence_num;
print RESULT 'evaluation value Har_NPosP_Preci_Recall of every single sentence:',"\n","@NPosP_Preci_Recall_single_sentence","\n",$i,"\n";
print RESULT 'mean value Har_NPosP_Preci_Recall of all single sentence:',"\n","$Har_NPosP_Preci_Recall","\n";
#### another way to calculate the mean Har_NPosP_Preci_Recall of system_output(using all sentences' mean parameter-value)
$Har_NPosP_Preci_Recall_anotherway=0;
if($Mean_uni_bi_tri_gram_precision>0 && $Mean_pos_dif_value>0 && $Mean_uni_bi_tri_gram_recall>0)
{
$Har_NPosP_Preci_Recall_anotherway= ($weight_mergePrecision+$weight_Pos+$weight_mergeRecall)/($weight_mergePrecision/$Mean_uni_bi_tri_gram_precision+$weight_Pos/$Mean_pos_dif_value+$weight_mergeRecall/$Mean_uni_bi_tri_gram_recall);
}
else
{
$Har_NPosP_Preci_Recall_anotherway=0;
}
print RESULT 'mean value Har_NPosP_Preci_Recall_anotherway of all single sentence:',"\n","$Har_NPosP_Preci_Recall_anotherway","\n";
close RESULT;
}
}