#!/bin/bash
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## Make sure that srilm is installed
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dir=lm
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mkdir -p $dir
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[ -f path.sh ] && . ./path.sh
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# Prepare data, the format of the text should be:
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# BAC009S0002W0122 而 对 楼市 成交 抑制 作用 最 大 的 限 购
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# BAC009S0002W0123 也 成为 地方 政府 的 眼中 钉
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corpus=lm/text
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# generate lm dict
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cat $corpus | awk '{for(n=2;n<=NF;n++) print tolower($n); }' | \
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cat - <(echo "<unk>";echo "<s>"; echo "</s>") | \
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sort | uniq -c | sort -nr | awk '{print $2}' > $dir/corpus.dict || exit 1;
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# train ngram
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cat $corpus | awk '{for(n=2;n<=NF;n++){ printf tolower($n); if(n<NF) printf " "; else print ""; }}' > $dir/train
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ngram-count -text $dir/train -order 4 -limit-vocab -vocab $dir/corpus.dict -unk \
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-kndiscount -interpolate -gt1min 1 -gt2min 1 -gt3min 2 -gt4min 2 -lm $dir/lm.arpa
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