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WER calculated

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email 2019-04-26 15:18:47 +02:00
parent 2e99b5f1f7
commit 2d7eb743a0
1 changed files with 6 additions and 5 deletions
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11
script.sh
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@ -1,7 +1,8 @@
awk 'BEGIN{FS=OFS="\t"}{print $0,"(sp1_"NR")"}' < $1 > reference_a.trn
FILE=$1
awk 'BEGIN{FS=OFS="\t"}{print $0,"(sp1_"NR")"}' < FILE > reference_a.trn
cut -f2 $1 > reference.txt
cut -f3 $1 > hypothesis.txt
cut -f2 $FILE > reference.txt
cut -f3 $FILE > hypothesis.txt
awk 'BEGIN{FS=OFS="\t"}{print $0,"(sp1_"NR")"}' < reference.txt > reference.trn
awk 'BEGIN{FS=OFS="\t"}{print $0,"(sp1_"NR")"}' < hypothesis.txt > hypothesis.trn
@ -10,6 +11,6 @@ sclite -f 0 -r reference.trn trn -h hypothesis.trn trn -e utf-8 -i rm -o all std
cat WER_SSR.txt | grep -oP '(?<=Scores: \(#C #S #D #I\) ).*' > values.txt
python3 solution.py
python solution.py
awk '{ print ($2+$3+$4)/($2+$3+$1) }' values.txt > WER_outcomes.txt
paste $FILE WER_outcomes.txt > wikiniews_results2.tsv