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https://github.com/Helsinki-NLP/OPUS-MT-train.git
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latest models
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@ -55,7 +55,10 @@ best_dist_all:
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## (BLEU needs to be above MIN_BLEU_SCORE)
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## NEW: don't trust models tested with GNOME test sets!
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best_dist:
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## OLD version of finding the best model
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## --> this didn't properly look at different variants in the same folder
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best_dist_old:
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@m=0;\
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s=''; \
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echo "------------------------------------------------"; \
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@ -85,6 +88,54 @@ best_dist:
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fi
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## new version of finding the best model
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## --> look at different model variants in each work-dir
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## --> take only the best one to publish
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best_dist:
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@m=0;\
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s=''; \
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echo "------------------------------------------------"; \
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echo "search best model for ${LANGPAIRSTR}"; \
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for d in ${ALT_MODEL_DIR}; do \
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e=`ls work-$$d/${LANGPAIRSTR}/val/*.trg | xargs basename | sed 's/\.trg//'`; \
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echo "evaldata = $$e"; \
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if [ "$$e" != "GNOME" ]; then \
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I=`find work-$$d/${LANGPAIRSTR}/ -maxdepth 1 -name "$$e.*.eval" -printf "%f\n"`; \
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for i in $$I; do \
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x=`echo $$i | cut -f3 -d. | cut -f1 -d-`; \
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y=`echo $$i | cut -f3 -d. | cut -f2 -d- | sed 's/[0-9]$$//'`; \
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z=`echo $$i | cut -f2 -d.`; \
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v=`echo $$i | cut -f4 -d.`; \
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b=`grep 'BLEU+' work-$$d/${LANGPAIRSTR}/$$e.$$z.$$x-$$y[0-9].$$v.*.eval | cut -f3 -d' '`; \
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if (( $$(echo "$$m-$$b < 0" |bc -l) )); then \
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echo "$$d/$$i ($$b) is better than $$s ($$m)!"; \
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m=$$b; \
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E=$$i; \
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s=$$d; \
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else \
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echo "$$d/$$i ($$b) is worse than $$s ($$m)!"; \
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fi \
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done; \
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fi \
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done; \
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echo "------------------------------------------------"; \
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if [ "$$s" != "" ]; then \
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if (( $$(echo "$$m > ${MIN_BLEU_SCORE}" |bc -l) )); then \
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x=`echo $$E | cut -f3 -d. | cut -f1 -d-`; \
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y=`echo $$E | cut -f3 -d. | cut -f2 -d- | sed 's/[0-9]$$//'`; \
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z=`echo $$E | cut -f2 -d.`; \
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v=`echo $$E | cut -f4 -d.`; \
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${MAKE} \
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MODELSHOME=${PWD}/models \
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PRE_SRC=$$x PRE_TRG=$$y \
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DATASET=$$z \
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MODELTYPE=$$v \
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MODELS_URL=https://object.pouta.csc.fi/OPUS-MT-models dist-$$s; \
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fi; \
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fi
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## make a package for distribution
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@ -119,6 +170,9 @@ endif
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POSTPROCESS_SCRIPT = postprocess-${PREPROCESS_TYPE}.sh
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## make the distribution package including test evaluation files and README
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${DIST_PACKAGE}: ${MODEL_FINAL}
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ifneq (${SKIP_DIST_EVAL},1)
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@${MAKE} $(TEST_EVALUATION)
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@ -147,10 +201,10 @@ endif
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echo '## Benchmarks' >> ${WORKDIR}/README.md; \
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echo '' >> ${WORKDIR}/README.md; \
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cd ${WORKDIR}; \
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grep -H BLEU *k${NR}.*eval | \
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grep -H BLEU *.${DATASET}.${PRE_SRC}-${PRE_TRG}${NR}.${MODELTYPE}.*.eval | \
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tr '.' '/' | cut -f1,5,6 -d '/' | tr '/' "." > $@.1; \
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grep BLEU *k${NR}.*eval | cut -f3 -d ' ' > $@.2; \
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grep chrF *k${NR}.*eval | cut -f3 -d ' ' > $@.3; \
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grep BLEU *.${DATASET}.${PRE_SRC}-${PRE_TRG}${NR}.${MODELTYPE}.*.eval | cut -f3 -d ' ' > $@.2; \
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grep chrF *.${DATASET}.${PRE_SRC}-${PRE_TRG}${NR}.${MODELTYPE}.*.eval | cut -f3 -d ' ' > $@.3; \
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echo '| testset | BLEU | chr-F |' >> README.md; \
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echo '|-----------------------|-------|-------|' >> README.md; \
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paste $@.1 $@.2 $@.3 | sed "s/\t/ | /g;s/^/| /;s/$$/ |/" >> README.md; \
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@ -20,6 +20,7 @@ NR_GPUS = 1
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HPC_NODES = 1
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HPC_DISK = 500
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HPC_QUEUE = serial
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HPC_GPUQUEUE = gpu
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# HPC_MODULES = nlpl-opus python-env/3.4.1 efmaral moses
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# HPC_MODULES = nlpl-opus moses cuda-env marian python-3.5.3-ml
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HPC_MODULES = ${GPU_MODULES}
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@ -20,12 +20,56 @@
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## - make dist-allmodels
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%-allmodels:
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for l in ${ALL_LANG_PAIRS}; do \
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if [ `find ${WORKHOME}/$$l -name '*.${PRE_SRC}-${PRE_TRG}.*.best-perplexity.npz' | wc -l` -gt 0 ]; then \
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${MAKE} SRCLANGS="`echo $$l | cut -f1 -d'-' | sed 's/\\+/ /g'`" \
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TRGLANGS="`echo $$l | cut -f2 -d'-' | sed 's/\\+/ /g'`" ${@:-allmodels=}; \
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fi \
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m=`find ${WORKHOME}/$$l -maxdepth 1 -name '*.best-perplexity.npz' -printf "%f\n"`; \
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for i in $$m; do \
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s=`echo $$l | cut -f1 -d'-' | sed 's/\\+/ /g'`; \
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t=`echo $$l | cut -f2 -d'-' | sed 's/\\+/ /g'`; \
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d=`echo $$i | cut -f1 -d.`; \
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x=`echo $$i | cut -f2 -d. | cut -f1 -d-`; \
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y=`echo $$i | cut -f2 -d. | cut -f2 -d-`; \
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v=`echo $$i | cut -f3 -d.`; \
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echo "model = $$i"; \
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echo "dataset = $$d"; \
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echo "src-lang = $$s"; \
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echo "trg-lang = $$t"; \
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echo "pre-src = $$x"; \
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echo "pre-trg = $$y"; \
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echo "type = $$v"; \
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${MAKE} \
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SRCLANGS="$$s" TRGLANGS="$$t" \
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DATASET=$$d \
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PRE_SRC=$$x PRE_TRG=$$y \
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MODELTYPE=$$v ${@:-allmodels=}; \
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done \
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done
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## OLD: doesn't work for different model variants
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##
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# %-allmodels:
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# for l in ${ALL_LANG_PAIRS}; do \
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# if [ `find ${WORKHOME}/$$l -name '*.${PRE_SRC}-${PRE_TRG}.*.best-perplexity.npz' | wc -l` -gt 0 ]; then \
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# ${MAKE} SRCLANGS="`echo $$l | cut -f1 -d'-' | sed 's/\\+/ /g'`" \
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# TRGLANGS="`echo $$l | cut -f2 -d'-' | sed 's/\\+/ /g'`" ${@:-allmodels=}; \
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# fi \
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# done
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listallmodels:
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@m=`find ${WORKDIR} -maxdepth 1 -name '*.best-perplexity.npz' -printf "%f\n"`; \
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for i in $$m; do \
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d=`echo $$i | cut -f1 -d.`; \
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s=`echo $$i | cut -f2 -d. | cut -f1 -d-`; \
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t=`echo $$i | cut -f2 -d. | cut -f1 -d-`; \
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v=`echo $$i | cut -f3 -d.`; \
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echo "model = $$i"; \
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echo "dataset = $$d"; \
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echo "pre-src = $$s"; \
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echo "pre-trg = $$t"; \
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echo "type = $$v"; \
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done
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## only bilingual models
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%-allbilingual:
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for l in ${ALL_BILINGUAL_MODELS}; do \
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@ -31,7 +31,7 @@ ifdef EMAIL
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endif
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echo '#SBATCH -n 1' >> $@
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echo '#SBATCH -N 1' >> $@
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echo '#SBATCH -p gpu' >> $@
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echo '#SBATCH -p ${HPC_GPUQUEUE}' >> $@
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ifeq (${shell hostname --domain},bullx)
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echo '#SBATCH --account=${CSCPROJECT}' >> $@
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echo '#SBATCH --gres=gpu:${GPU}:${NR_GPUS},nvme:${HPC_DISK}' >> $@
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@ -55,7 +55,7 @@ MODELINDEX = ${OBJECTSTORAGE}/${MODELCONTAINER}/index.txt
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# BASEMODELNAME = ${patsubst %.zip,%,${notdir ${BASEMODELZIP}}}
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BASEMODELHOME = ${OBJECTSTORAGE}/${MODELCONTAINER}/${LANGPAIR}
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BASEMODELZIP = ${lastword ${sort ${notdir ${shell grep '${LANGPAIR}/opus-.*\.zip' model-index.txt}}}}
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BASEMODELZIP = ${lastword ${sort ${notdir ${shell grep '${LANGPAIR}/${DATASET}-.*\.zip' model-index.txt}}}}
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BASEMODELNAME = ${BASEMODELZIP:.zip=}
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TUNED_MODEL = ${LANGPAIR}/${MODEL}/model/${BASEMODELNAME}_${MODEL}.transformer.model
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@ -54,3 +54,31 @@
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| newstest2019-deen.de.en | 39.6 | 0.637 |
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| Tatoeba.de.en | 55.1 | 0.704 |
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# opus-2020-02-26.zip
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* dataset: opus
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* model: transformer-align
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* pre-processing: normalization + SentencePiece
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* download: [opus-2020-02-26.zip](https://object.pouta.csc.fi/OPUS-MT-models/de-en/opus-2020-02-26.zip)
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* test set translations: [opus-2020-02-26.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-en/opus-2020-02-26.test.txt)
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* test set scores: [opus-2020-02-26.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/de-en/opus-2020-02-26.eval.txt)
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## Benchmarks
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| testset | BLEU | chr-F |
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|-----------------------|-------|-------|
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| newssyscomb2009.de.en | 29.4 | 0.557 |
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| news-test2008.de.en | 27.8 | 0.548 |
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| newstest2009.de.en | 26.8 | 0.543 |
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| newstest2010.de.en | 30.2 | 0.584 |
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| newstest2011.de.en | 27.4 | 0.556 |
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| newstest2012.de.en | 29.1 | 0.569 |
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| newstest2013.de.en | 32.1 | 0.583 |
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| newstest2014-deen.de.en | 34.0 | 0.600 |
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| newstest2015-ende.de.en | 34.2 | 0.599 |
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| newstest2016-ende.de.en | 40.4 | 0.649 |
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| newstest2017-ende.de.en | 35.7 | 0.610 |
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| newstest2018-ende.de.en | 43.7 | 0.667 |
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| newstest2019-deen.de.en | 40.1 | 0.642 |
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| Tatoeba.de.en | 55.4 | 0.707 |
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@ -43,3 +43,18 @@
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|-----------------------|-------|-------|
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| JW300.en.bcl | 53.8 | 0.719 |
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# opus+bt-2020-02-26.zip
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* dataset: opus+bt
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* model: transformer-align
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* pre-processing: normalization + SentencePiece
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* download: [opus+bt-2020-02-26.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-bcl/opus+bt-2020-02-26.zip)
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* test set translations: [opus+bt-2020-02-26.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-bcl/opus+bt-2020-02-26.test.txt)
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* test set scores: [opus+bt-2020-02-26.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-bcl/opus+bt-2020-02-26.eval.txt)
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## Benchmarks
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| testset | BLEU | chr-F |
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|-----------------------|-------|-------|
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| JW300.en.bcl | 54.3 | 0.722 |
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@ -52,3 +52,30 @@
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| newstest2019-ende.en.de | 41.6 | 0.655 |
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| Tatoeba.en.de | 46.8 | 0.655 |
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# opus-2020-02-26.zip
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* dataset: opus
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* model: transformer-align
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* pre-processing: normalization + SentencePiece
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* download: [opus-2020-02-26.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-de/opus-2020-02-26.zip)
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* test set translations: [opus-2020-02-26.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-de/opus-2020-02-26.test.txt)
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* test set scores: [opus-2020-02-26.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-de/opus-2020-02-26.eval.txt)
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## Benchmarks
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| testset | BLEU | chr-F |
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|-----------------------|-------|-------|
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| newssyscomb2009.en.de | 23.5 | 0.540 |
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| news-test2008.en.de | 23.5 | 0.529 |
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| newstest2009.en.de | 22.3 | 0.530 |
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| newstest2010.en.de | 24.9 | 0.544 |
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| newstest2011.en.de | 22.5 | 0.524 |
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| newstest2012.en.de | 23.0 | 0.525 |
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| newstest2013.en.de | 26.9 | 0.553 |
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| newstest2015-ende.en.de | 31.1 | 0.594 |
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| newstest2016-ende.en.de | 37.0 | 0.636 |
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| newstest2017-ende.en.de | 29.9 | 0.586 |
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| newstest2018-ende.en.de | 45.2 | 0.690 |
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| newstest2019-ende.en.de | 40.9 | 0.654 |
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| Tatoeba.en.de | 47.3 | 0.664 |
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@ -67,3 +67,26 @@
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| newstestB2017-enfi.en.fi | 22.3 | 0.560 |
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| Tatoeba.en.fi | 41.1 | 0.645 |
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# opus+bt-2020-02-26.zip
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* dataset: opus+bt
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* model: transformer-align
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* pre-processing: normalization + SentencePiece
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* download: [opus+bt-2020-02-26.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-fi/opus+bt-2020-02-26.zip)
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* test set translations: [opus+bt-2020-02-26.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-fi/opus+bt-2020-02-26.test.txt)
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* test set scores: [opus+bt-2020-02-26.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-fi/opus+bt-2020-02-26.eval.txt)
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## Benchmarks
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| testset | BLEU | chr-F |
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|-----------------------|-------|-------|
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| newsdev2015-enfi.en.fi | 23.5 | 0.572 |
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| newstest2015-enfi.en.fi | 25.7 | 0.586 |
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| newstest2016-enfi.en.fi | 26.4 | 0.594 |
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| newstest2017-enfi.en.fi | 29.8 | 0.624 |
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| newstest2018-enfi.en.fi | 19.8 | 0.545 |
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| newstest2019-enfi.en.fi | 23.7 | 0.562 |
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| newstestB2016-enfi.en.fi | 21.3 | 0.558 |
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| newstestB2017-enfi.en.fi | 24.9 | 0.584 |
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| Tatoeba.en.fi | 41.4 | 0.650 |
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|
@ -22,3 +22,27 @@
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| newstest2013.en.fr | 24.0 | 0.525 |
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| Tatoeba.en.fr | 56.7 | 0.682 |
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# opus-2020-02-26.zip
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* dataset: opus
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* model: transformer-align
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* pre-processing: normalization + SentencePiece
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* download: [opus-2020-02-26.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-fr/opus-2020-02-26.zip)
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* test set translations: [opus-2020-02-26.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-fr/opus-2020-02-26.test.txt)
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* test set scores: [opus-2020-02-26.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-fr/opus-2020-02-26.eval.txt)
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## Benchmarks
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| testset | BLEU | chr-F |
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|-----------------------|-------|-------|
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| newsdiscussdev2015-enfr.en.fr | 33.8 | 0.602 |
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| newsdiscusstest2015-enfr.en.fr | 40.0 | 0.643 |
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| newssyscomb2009.en.fr | 29.8 | 0.584 |
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| news-test2008.en.fr | 27.5 | 0.554 |
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| newstest2009.en.fr | 29.4 | 0.577 |
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| newstest2010.en.fr | 32.7 | 0.596 |
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| newstest2011.en.fr | 34.3 | 0.611 |
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| newstest2012.en.fr | 31.8 | 0.592 |
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| newstest2013.en.fr | 33.2 | 0.589 |
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| Tatoeba.en.fr | 50.5 | 0.672 |
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|
@ -13,3 +13,18 @@
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|-----------------------|-------|-------|
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| Tatoeba.en.sv | 60.4 | 0.733 |
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# opus-2020-02-26.zip
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* dataset: opus
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* model: transformer-align
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* pre-processing: normalization + SentencePiece
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* download: [opus-2020-02-26.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-sv/opus-2020-02-26.zip)
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* test set translations: [opus-2020-02-26.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-sv/opus-2020-02-26.test.txt)
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* test set scores: [opus-2020-02-26.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-sv/opus-2020-02-26.eval.txt)
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## Benchmarks
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| testset | BLEU | chr-F |
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|-----------------------|-------|-------|
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| Tatoeba.en.sv | 60.1 | 0.736 |
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|
15
models/en-tl/README.md
Normal file
15
models/en-tl/README.md
Normal file
@ -0,0 +1,15 @@
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# opus+bt-2020-02-26.zip
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* dataset: opus+bt
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* model: transformer-align
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* pre-processing: normalization + SentencePiece
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* download: [opus+bt-2020-02-26.zip](https://object.pouta.csc.fi/OPUS-MT-models/en-tl/opus+bt-2020-02-26.zip)
|
||||
* test set translations: [opus+bt-2020-02-26.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-tl/opus+bt-2020-02-26.test.txt)
|
||||
* test set scores: [opus+bt-2020-02-26.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/en-tl/opus+bt-2020-02-26.eval.txt)
|
||||
|
||||
## Benchmarks
|
||||
|
||||
| testset | BLEU | chr-F |
|
||||
|-----------------------|-------|-------|
|
||||
| Tatoeba.en.tl | 26.6 | 0.577 |
|
||||
|
@ -28,3 +28,18 @@
|
||||
|-----------------------|-------|-------|
|
||||
| Tatoeba.fi.fr | 49.9 | 0.657 |
|
||||
|
||||
# opus-2020-02-26.zip
|
||||
|
||||
* dataset: opus
|
||||
* model: transformer-align
|
||||
* pre-processing: normalization + SentencePiece
|
||||
* download: [opus-2020-02-26.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi-fr/opus-2020-02-26.zip)
|
||||
* test set translations: [opus-2020-02-26.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-fr/opus-2020-02-26.test.txt)
|
||||
* test set scores: [opus-2020-02-26.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-fr/opus-2020-02-26.eval.txt)
|
||||
|
||||
## Benchmarks
|
||||
|
||||
| testset | BLEU | chr-F |
|
||||
|-----------------------|-------|-------|
|
||||
| Tatoeba.fi.fr | 50.7 | 0.670 |
|
||||
|
||||
|
@ -28,3 +28,18 @@
|
||||
|-----------------------|-------|-------|
|
||||
| JW300.fi.nl | 30.2 | 0.544 |
|
||||
|
||||
# opus-2020-02-26.zip
|
||||
|
||||
* dataset: opus
|
||||
* model: transformer-align
|
||||
* pre-processing: normalization + SentencePiece
|
||||
* download: [opus-2020-02-26.zip](https://object.pouta.csc.fi/OPUS-MT-models/fi-nl/opus-2020-02-26.zip)
|
||||
* test set translations: [opus-2020-02-26.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-nl/opus-2020-02-26.test.txt)
|
||||
* test set scores: [opus-2020-02-26.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fi-nl/opus-2020-02-26.eval.txt)
|
||||
|
||||
## Benchmarks
|
||||
|
||||
| testset | BLEU | chr-F |
|
||||
|-----------------------|-------|-------|
|
||||
| JW300.fi.nl | 30.5 | 0.557 |
|
||||
|
||||
|
@ -23,3 +23,28 @@
|
||||
| newstest2014-fren.fr.en | 35.4 | 0.607 |
|
||||
| Tatoeba.fr.en | 60.9 | 0.726 |
|
||||
|
||||
# opus-2020-02-26.zip
|
||||
|
||||
* dataset: opus
|
||||
* model: transformer-align
|
||||
* pre-processing: normalization + SentencePiece
|
||||
* download: [opus-2020-02-26.zip](https://object.pouta.csc.fi/OPUS-MT-models/fr-en/opus-2020-02-26.zip)
|
||||
* test set translations: [opus-2020-02-26.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-en/opus-2020-02-26.test.txt)
|
||||
* test set scores: [opus-2020-02-26.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/fr-en/opus-2020-02-26.eval.txt)
|
||||
|
||||
## Benchmarks
|
||||
|
||||
| testset | BLEU | chr-F |
|
||||
|-----------------------|-------|-------|
|
||||
| newsdiscussdev2015-enfr.fr.en | 33.1 | 0.580 |
|
||||
| newsdiscusstest2015-enfr.fr.en | 38.7 | 0.614 |
|
||||
| newssyscomb2009.fr.en | 30.3 | 0.569 |
|
||||
| news-test2008.fr.en | 26.2 | 0.542 |
|
||||
| newstest2009.fr.en | 30.2 | 0.570 |
|
||||
| newstest2010.fr.en | 32.2 | 0.590 |
|
||||
| newstest2011.fr.en | 33.0 | 0.597 |
|
||||
| newstest2012.fr.en | 32.8 | 0.591 |
|
||||
| newstest2013.fr.en | 33.9 | 0.591 |
|
||||
| newstest2014-fren.fr.en | 37.8 | 0.633 |
|
||||
| Tatoeba.fr.en | 57.5 | 0.720 |
|
||||
|
||||
|
@ -13,3 +13,18 @@
|
||||
|-----------------------|-------|-------|
|
||||
| JW300.nl.fi | 28.1 | 0.553 |
|
||||
|
||||
# opus-2020-02-26.zip
|
||||
|
||||
* dataset: opus
|
||||
* model: transformer-align
|
||||
* pre-processing: normalization + SentencePiece
|
||||
* download: [opus-2020-02-26.zip](https://object.pouta.csc.fi/OPUS-MT-models/nl-fi/opus-2020-02-26.zip)
|
||||
* test set translations: [opus-2020-02-26.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/nl-fi/opus-2020-02-26.test.txt)
|
||||
* test set scores: [opus-2020-02-26.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/nl-fi/opus-2020-02-26.eval.txt)
|
||||
|
||||
## Benchmarks
|
||||
|
||||
| testset | BLEU | chr-F |
|
||||
|-----------------------|-------|-------|
|
||||
| JW300.nl.fi | 28.6 | 0.569 |
|
||||
|
||||
|
@ -90,3 +90,26 @@
|
||||
| newstest2019-ruen.ru.en | 31.5 | 0.577 |
|
||||
| Tatoeba.ru.en | 60.8 | 0.734 |
|
||||
|
||||
# opus-2020-02-26.zip
|
||||
|
||||
* dataset: opus
|
||||
* model: transformer-align
|
||||
* pre-processing: normalization + SentencePiece
|
||||
* download: [opus-2020-02-26.zip](https://object.pouta.csc.fi/OPUS-MT-models/ru-en/opus-2020-02-26.zip)
|
||||
* test set translations: [opus-2020-02-26.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/ru-en/opus-2020-02-26.test.txt)
|
||||
* test set scores: [opus-2020-02-26.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/ru-en/opus-2020-02-26.eval.txt)
|
||||
|
||||
## Benchmarks
|
||||
|
||||
| testset | BLEU | chr-F |
|
||||
|-----------------------|-------|-------|
|
||||
| newstest2012.ru.en | 34.8 | 0.603 |
|
||||
| newstest2013.ru.en | 27.9 | 0.545 |
|
||||
| newstest2014-ruen.ru.en | 31.9 | 0.591 |
|
||||
| newstest2015-enru.ru.en | 30.4 | 0.568 |
|
||||
| newstest2016-enru.ru.en | 30.1 | 0.565 |
|
||||
| newstest2017-enru.ru.en | 33.4 | 0.593 |
|
||||
| newstest2018-enru.ru.en | 29.6 | 0.565 |
|
||||
| newstest2019-ruen.ru.en | 31.4 | 0.576 |
|
||||
| Tatoeba.ru.en | 61.1 | 0.736 |
|
||||
|
||||
|
@ -43,3 +43,18 @@
|
||||
|-----------------------|-------|-------|
|
||||
| Tatoeba.sv.en | 65.3 | 0.769 |
|
||||
|
||||
# opus-2020-02-26.zip
|
||||
|
||||
* dataset: opus
|
||||
* model: transformer-align
|
||||
* pre-processing: normalization + SentencePiece
|
||||
* download: [opus-2020-02-26.zip](https://object.pouta.csc.fi/OPUS-MT-models/sv-en/opus-2020-02-26.zip)
|
||||
* test set translations: [opus-2020-02-26.test.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-en/opus-2020-02-26.test.txt)
|
||||
* test set scores: [opus-2020-02-26.eval.txt](https://object.pouta.csc.fi/OPUS-MT-models/sv-en/opus-2020-02-26.eval.txt)
|
||||
|
||||
## Benchmarks
|
||||
|
||||
| testset | BLEU | chr-F |
|
||||
|-----------------------|-------|-------|
|
||||
| Tatoeba.sv.en | 64.5 | 0.763 |
|
||||
|
||||
|
Loading…
Reference in New Issue
Block a user