49 lines
1.6 KiB
Bash
Executable File
49 lines
1.6 KiB
Bash
Executable File
#!/bin/bash -v
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# This sample script preprocesses a sample corpus, including tokenization,
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# truecasing, and subword segmentation.
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# For application to a different language pair, change source and target
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# prefix, optionally the number of BPE operations, and the file names
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# (currently, data/corpus and data/newsdev2016 are being processed).
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# In the tokenization step, you will want to remove Romanian-specific
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# normalization / diacritic removal, and you may want to add your own.
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# Also, you may want to learn BPE segmentations separately for each language,
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# especially if they differ in their alphabet
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# Suffix of source language files
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SRC=cs
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# Suffix of target language files
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TRG=en
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# Number of merge operations. Network vocabulary should be slightly larger (to
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# include characters), or smaller if the operations are learned on the joint
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# vocabulary
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bpe_operations=85000
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# path to moses decoder: https://github.com/moses-smt/mosesdecoder
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mosesdecoder=/home/jakub/TAU/TAU_24/marian-dev/examples/tools/moses-scripts
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# path to subword segmentation scripts: https://github.com/rsennrich/subword-nmt
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subword_nmt=/home/jakub/TAU/TAU_24/marian-dev/examples/tools/subword-nmt
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# tokenize
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cat dev-0/in.tsv \
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| $mosesdecoder/scripts/tokenizer/tokenizer.perl -a -l tsv > dev-0/in.tok.tsv
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cat test-A/in.tsv \
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| $mosesdecoder/scripts/tokenizer/tokenizer.perl -a -l tsv > test-A/in.tok.tsv
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# apply truecaser (dev/test files)
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for prefix in dev-0/in test-A/in
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do
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$mosesdecoder/scripts/recaser/truecase.perl -model preprocess-train/model/tc.$SRC < $prefix.tok.tsv > $prefix.tc.$SRC
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done
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