en_to_indic_translation / indicTrans /learn_single_bpe.sh
harveen
Adding code
e50fe35
raw
history blame
1.36 kB
#!/bin/bash
expdir=$1 # EXPDIR
num_operations=${2:-32000}
#`dirname $0`/env.sh
SUBWORD_NMT_DIR="subword-nmt"
data_dir="$expdir/data"
train_file=$data_dir/train
# num_operations=32000
echo Input file: $train_file
mkdir -p $expdir/vocab
echo "learning source BPE"
python $SUBWORD_NMT_DIR/subword_nmt/learn_bpe.py \
--input $train_file.SRC \
-s $num_operations \
-o $expdir/vocab/bpe_codes.32k.SRC\
--num-workers -1
echo "learning target BPE"
python $SUBWORD_NMT_DIR/subword_nmt/learn_bpe.py \
--input $train_file.TGT \
-s $num_operations \
-o $expdir/vocab/bpe_codes.32k.TGT\
--num-workers -1
echo "computing SRC vocab"
python $SUBWORD_NMT_DIR/subword_nmt/apply_bpe.py \
-c $expdir/vocab/bpe_codes.32k.SRC \
--num-workers -1 \
-i $train_file.SRC | \
python $SUBWORD_NMT_DIR/subword_nmt/get_vocab.py \
> $expdir/vocab/vocab.tmp.SRC
python scripts/clean_vocab.py $expdir/vocab/vocab.tmp.SRC $expdir/vocab/vocab.SRC
rm $expdir/vocab/vocab.tmp.SRC
echo "computing TGT vocab"
python $SUBWORD_NMT_DIR/subword_nmt/apply_bpe.py \
-c $expdir/vocab/bpe_codes.32k.TGT \
--num-workers -1 \
-i $train_file.TGT | \
python $SUBWORD_NMT_DIR/subword_nmt/get_vocab.py \
> $expdir/vocab/vocab.tmp.TGT
python scripts/clean_vocab.py $expdir/vocab/vocab.tmp.TGT $expdir/vocab/vocab.TGT
rm $expdir/vocab/vocab.tmp.TGT