35 lines
1.2 KiB
Bash
35 lines
1.2 KiB
Bash
#!/bin/bash
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#
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if [ -f path.sh ]; then . path.sh; fi
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lm_dir=$1
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tgt_lang=$2
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arpa_lm=${lm_dir}/lm.arpa
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[ ! -f $arpa_lm ] && echo No such file $arpa_lm && exit 1;
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# Compose the language model to FST
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cat "$arpa_lm" | \
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grep -v '<s> <s>' | \
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grep -v '</s> <s>' | \
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grep -v '</s> </s>' | \
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grep -v -i '<unk>' | \
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arpa2fst --read-symbol-table=$tgt_lang/words.txt --keep-symbols=true - | fstprint | \
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fst/eps2disambig.pl | fst/s2eps.pl | fstcompile --isymbols=$tgt_lang/words.txt \
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--osymbols=$tgt_lang/words.txt --keep_isymbols=false --keep_osymbols=false | \
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fstrmepsilon | fstarcsort --sort_type=ilabel > $tgt_lang/G.fst
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echo "Checking how stochastic G is (the first of these numbers should be small):"
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fstisstochastic $tgt_lang/G.fst
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# Compose the token, lexicon and language-model FST into the final decoding graph
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fsttablecompose $tgt_lang/L.fst $tgt_lang/G.fst | fstdeterminizestar --use-log=true | \
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fstminimizeencoded | fstarcsort --sort_type=ilabel > $tgt_lang/LG.fst || exit 1;
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fsttablecompose $tgt_lang/T.fst $tgt_lang/LG.fst > $tgt_lang/TLG.fst || exit 1;
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echo "Composing decoding graph TLG.fst succeeded"
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rm -r $tgt_lang/LG.fst # We don't need to keep this intermediate FST
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