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https://github.com/Helsinki-NLP/OPUS-MT-train.git
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Merge remote-tracking branch 'origin/elg-mahti' into puhti
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commit
1d802e13f9
@ -502,10 +502,9 @@ ifeq (${CLEAN_CORPUS_TRAINING_DATA},1)
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${LOCAL_TRAIN_SRC} $(SRCEXT) $(TRGEXT) \
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${LOCAL_TRAIN_SRC}.clean \
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${MIN_NR_TOKENS} ${MAX_NR_TOKENS}
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@mv -f ${LOCAL_TRAIN_SRC}.clean,${SRCEXT} ${LOCAL_TRAIN_SRC}
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@mv -f ${LOCAL_TRAIN_SRC}.clean,${TRGEXT} ${LOCAL_TRAIN_TRG}
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@rm -f ${LOCAL_TRAIN_SRC} ${LOCAL_TRAIN_SRC}.${SRCEXT}
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@rm -f ${LOCAL_TRAIN_SRC} ${LOCAL_TRAIN_SRC}.${TRGEXT}
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@mv -f ${LOCAL_TRAIN_SRC}.clean.${SRCEXT} ${LOCAL_TRAIN_SRC}
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@mv -f ${LOCAL_TRAIN_SRC}.clean.${TRGEXT} ${LOCAL_TRAIN_TRG}
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@rm -f ${LOCAL_TRAIN_SRC}.${SRCEXT} ${LOCAL_TRAIN_SRC}.${TRGEXT}
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endif
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ifeq (${SHUFFLE_TRAINING_DATA},1)
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@echo ".... shuffle complete training data"
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@ -125,7 +125,7 @@ elg-ukr2fin-tiny11:
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elg-gmq2ukr-tiny11:
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${MAKE} STUDENT_DATA=pft-pbt-bt SRCLANGS="dan isl nno nob nor swe" TRGLANGS=ukr LANGPAIRSTR="gmq-ukr" train-tiny11-student
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${MAKE} MARIAN_EXTRA=--no-restore-corpus CHECK_TRAINDATA_SIZE=1 CLEAN_CORPUS_TRAINING_DATA=1 STUDENT_DATA=pft-pbt-bt SRCLANGS="dan isl nno nob nor swe" TRGLANGS=ukr LANGPAIRSTR="gmq-ukr" train-tiny11-student
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@ -166,10 +166,10 @@ elg-ukr2lit-tiny11:
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elg-deu2ukr-tiny11:
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${MAKE} MARIAN_EXTRA=--no-restore-corpus STUDENT_DATA=pft-pbt-bt SRCLANGS=deu TRGLANGS=ukr train-tiny11-student
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${MAKE} MARIAN_EXTRA=--no-restore-corpus CHECK_TRAINDATA_SIZE=1 CLEAN_CORPUS_TRAINING_DATA=1 STUDENT_DATA=pft-pbt-bt SRCLANGS=deu TRGLANGS=ukr train-tiny11-student
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elg-ukr2deu-tiny11:
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${MAKE} STUDENT_DATA=pft-pbt-bt SRCLANGS=ukr TRGLANGS=deu train-tiny11-student
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${MAKE} MARIAN_EXTRA=--no-restore-corpus STUDENT_DATA=pft-pbt-bt SRCLANGS=ukr CHECK_TRAINDATA_SIZE=1 CLEAN_CORPUS_TRAINING_DATA=1 TRGLANGS=deu train-tiny11-student
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@ -68,11 +68,32 @@ SORTED_LANGPAIR = ${firstword ${SORTLANGS}}-${lastword ${SORTLANGS}}
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PWD := $(shell pwd)
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## new style of finding the best model for a given language pair:
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## use the leaderboard in this repository!
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## - use all benchmarks
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## - take the one that is mentioned the most
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## - count results from Tatoeba only once
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## Problem: only the first tatoeba benchmark will be used
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## (but this will be the oldest one)
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LEADERBOARD_HOME = ../../scores
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best-opusmt-model = ${shell grep -H . ${LEADERBOARD_HOME}/${1}/*/${2}.txt | \
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sed 's/txt:[0-9\.]*//' | sed -r 's/tatoeba-test-v[0-9]{4}-[0-9]{2}-[0-9]{2}/tatoeba-test/' | \
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rev | uniq -f1 | rev | cut -f2 | uniq -c | sort -nr | head -1 | sed 's/^.*http/http/'}
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MODELZIP := ${call best-opusmt-model,${LANGPAIR},bleu-scores}
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MODELINFO := ${MODELZIP:.zip=.yml}
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MODELNAME := ${patsubst %.zip,%,${notdir ${MODELZIP}}}
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## old style: query the list of released models
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## problems with that ; the first one on the list might not be the best one
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# MODELZIP := ${shell ${WGET} -qq -O - ${TATOEBA_RELEASED} | grep '^${LANGPAIR}' | head -1 | cut -f4}
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# MODELINFO = ${patsubst ${TATOEBA_MODEL_STORAGE}/%.zip,${TATOEBA_GITRAW}/models/%.yml,${MODELZIP}}
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# MODELNAME = ${patsubst %.zip,%,${notdir ${MODELZIP}}}
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# MODELZIP = https://object.pouta.csc.fi/Tatoeba-Challenge/ang.tar
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MODELZIP := ${shell ${WGET} -qq -O - ${TATOEBA_RELEASED} | grep '^${LANGPAIR}' | head -1 | cut -f4}
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MODELINFO = ${patsubst ${TATOEBA_MODEL_STORAGE}/%.zip,${TATOEBA_GITRAW}/models/%.yml,${MODELZIP}}
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MODELNAME = ${patsubst %.zip,%,${notdir ${MODELZIP}}}
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MULTI_TARGET_MODEL := ${shell ${WGET} -qq -O - ${MODELINFO} | grep 'use-target-labels' | wc -l}
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ifneq (${MULTI_TARGET_MODEL},0)
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@ -153,10 +174,14 @@ print-modelname:
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## --> for scoring translations
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##-------------------------------------------
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REV_LANGPAIR = ${TRG}-${SRC}
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REV_MODELZIP := ${shell ${WGET} -qq -O - ${TATOEBA_RELEASED} | grep '^${REV_LANGPAIR}' | head -1 | cut -f4}
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REV_MODELINFO = ${patsubst ${TATOEBA_MODEL_STORAGE}/%.zip,${TATOEBA_GITRAW}/models/%.yml,${REV_MODELZIP}}
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REV_MODELNAME = ${patsubst %.zip,%,${notdir ${REV_MODELZIP}}}
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REV_LANGPAIR = ${TRG}-${SRC}
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REV_MODELZIP := ${call best-opusmt-model,${REV_LANGPAIR},bleu-scores}
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REV_MODELINFO := ${REV_MODELZIP:.zip=.yml}
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REV_MODELNAME = ${patsubst %.zip,%,${notdir ${REV_MODELZIP}}}
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# REV_MODELZIP := ${shell ${WGET} -qq -O - ${TATOEBA_RELEASED} | grep '^${REV_LANGPAIR}' | head -1 | cut -f4}
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# REV_MODELINFO = ${patsubst ${TATOEBA_MODEL_STORAGE}/%.zip,${TATOEBA_GITRAW}/models/%.yml,${REV_MODELZIP}}
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# REV_MODELNAME = ${patsubst %.zip,%,${notdir ${REV_MODELZIP}}}
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REV_MULTI_TARGET_MODEL := ${shell ${WGET} -qq -O - ${REV_MODELINFO} | grep 'use-target-labels' | wc -l}
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ifeq (${REV_MULTI_TARGET_MODEL},1)
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