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@ -169,52 +169,6 @@ raw-corpus = $toy-data/nc-5k.$output-extension
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#
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#lm =
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#################################################################
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# INTERPOLATING LANGUAGE MODELS
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[INTERPOLATED-LM] IGNORE
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# if multiple language models are used, these may be combined
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# by optimizing perplexity on a tuning set
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# see, for instance [Koehn and Schwenk, IJCNLP 2008]
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### script to interpolate language models
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# if commented out, no interpolation is performed
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#
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# script = $moses-script-dir/ems/support/interpolate-lm.perl
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### tuning set
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# you may use the same set that is used for mert tuning (reference set)
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#
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#tuning-sgm =
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#raw-tuning =
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#tokenized-tuning =
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#factored-tuning =
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#lowercased-tuning =
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#split-tuning =
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### script to use for binary table format for irstlm or kenlm
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# (default: no binarization)
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# irstlm
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#lm-binarizer = $moses-src-dir/irstlm/bin/compile-lm
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# kenlm, also set type to 8
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#lm-binarizer = $moses-src-dir/kenlm/build_binary
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#type = 8
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### script to create quantized language model format (irstlm)
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# (default: no quantization)
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#
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#lm-quantizer = $moses-src-dir/irstlm/bin/quantize-lm
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### script to use for converting into randomized table format
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# (default: no randomization)
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#
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#lm-randomizer = "$moses-src-dir/randlm/bin/buildlm -falsepos 8 -values 8"
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#################################################################
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# TRANSLATION MODEL TRAINING
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[TRAINING]
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