diff --git a/lib/config.mk b/lib/config.mk
index 48db8578..75ecfc86 100644
--- a/lib/config.mk
+++ b/lib/config.mk
@@ -557,8 +557,8 @@ ifeq (${CONTINUE_EXISTING},1)
   MODEL_LATEST = $(firstword \
 	${shell ls -t 	${WORKDIR}/*${MODEL_VARIANT}.${PRE_SRC}-${PRE_TRG}.${subst -align,,${MODELTYPE}}.model[0-9].npz \
 			${WORKDIR}/*${MODEL_VARIANT}.${PRE_SRC}-${PRE_TRG}.${subst -align,,${MODELTYPE}}-align.model[0-9].npz \
-			${WORKDIR}/*${MODEL_VARIANT}.${PRE_SRC}-${PRE_TRG}.${subst -align,,${MODELTYPE}}.best-perplexity.npz \
-			${WORKDIR}/*${MODEL_VARIANT}.${PRE_SRC}-${PRE_TRG}.${subst -align,,${MODELTYPE}}-align.best-perplexity.npz \
+			${WORKDIR}/*${MODEL_VARIANT}.${PRE_SRC}-${PRE_TRG}.${subst -align,,${MODELTYPE}}.model[0-9].npz.best-perplexity.npz \
+			${WORKDIR}/*${MODEL_VARIANT}.${PRE_SRC}-${PRE_TRG}.${subst -align,,${MODELTYPE}}-align.model[0-9].npz.best-perplexity.npz \
 		2>/dev/null | grep -v 'tuned4' })
   MODEL_LATEST_VOCAB     = $(shell echo "${MODEL_LATEST}" | \
 		sed 's|\.${PRE_SRC}-${PRE_TRG}\..*$$|.${PRE_SRC}-${PRE_TRG}.vocab.yml|')
diff --git a/lib/data.mk b/lib/data.mk
index 9d5fc265..4f9af99c 100644
--- a/lib/data.mk
+++ b/lib/data.mk
@@ -119,6 +119,14 @@ ifeq (${USE_PIVOTING},1)
 endif
 
 
+# additional data sets that might be available ...
+ifeq (${USE_EXTRA_BITEXTS},1)
+  EXTRA_BITEXTS_SRC = ${sort ${wildcard ${DATADIR}/extra/${SRC}-${TRG}/*.${SRCEXT}.gz}}
+  EXTRA_BITEXTS_TRG = ${patsubst %.${SRCEXT}.gz,%.${TRGEXT}.gz,${EXTRA_BITEXTS_SRC}}
+endif
+
+
+
 print-datasets:
 	-@for s in ${SRCLANGS}; do \
 	  for t in ${TRGLANGS}; do \
@@ -144,6 +152,10 @@ print-datasets-current-langpair:
 	@echo "pivot-based translation data:"
 	@echo ${PIVOTING_SRC}
 	@echo ${PIVOTING_TRG}
+	@echo "extra bitexts:"
+	@echo ${EXTRA_BITEXTS_SRC}
+	@echo ${EXTRA_BITEXTS_TRG}
+
 
 ##-------------------------------------------------------------
 ## data sets (train/dev/test)
@@ -153,9 +165,9 @@ print-datasets-current-langpair:
 ## with some basic pre-processing (see lib/preprocess.mk)
 
 CLEAN_TRAIN_SRC    = ${patsubst %,${DATADIR}/${PRE}/%.${LANGPAIR}.${CLEAN_TRAINDATA_TYPE}.${SRCEXT}.gz,${TRAINSET}} \
-			${BACKTRANS_SRC} ${FORWARDTRANS_SRC} ${FORWARDTRANSMONO_SRC} ${PIVOTING_SRC}
+			${BACKTRANS_SRC} ${FORWARDTRANS_SRC} ${FORWARDTRANSMONO_SRC} ${PIVOTING_SRC} ${EXTRA_BITEXTS_SRC}
 CLEAN_TRAIN_TRG    = ${patsubst %,${DATADIR}/${PRE}/%.${LANGPAIR}.${CLEAN_TRAINDATA_TYPE}.${TRGEXT}.gz,${TRAINSET}} \
-			${BACKTRANS_TRG} ${FORWARDTRANS_TRG} ${FORWARDTRANSMONO_TRG} ${PIVOTING_TRG}
+			${BACKTRANS_TRG} ${FORWARDTRANS_TRG} ${FORWARDTRANSMONO_TRG} ${PIVOTING_TRG} ${EXTRA_BITEXTS_TRG}
 
 CLEAN_DEV_SRC      = ${patsubst %,${DATADIR}/${PRE}/%.${LANGPAIR}.${CLEAN_DEVDATA_TYPE}.${SRCEXT}.gz,${DEVSET}}
 CLEAN_DEV_TRG      = ${patsubst %.${SRCEXT}.gz,%.${TRGEXT}.gz,${CLEAN_DEV_SRC}}
diff --git a/lib/env/mahti.mk b/lib/env/mahti.mk
index 98ecb8d2..a752e711 100644
--- a/lib/env/mahti.mk
+++ b/lib/env/mahti.mk
@@ -8,6 +8,7 @@ DATA_PREPARE_HPCPARAMS = CPUJOB_HPC_CORES=2 CPUJOB_HPC_MEM=16g
 DATA_ALIGN_HPCPARAMS = CPUJOB_HPC_CORES=128 CPUJOB_HPC_JOBS=20 CPUJOB_HPC_MEM=128g
 
 
+# CSCPROJECT    = project_2002982
 CSCPROJECT    = project_2002688
 # CSCPROJECT    = project_2005625
 WORKHOME      = ${shell realpath ${PWD}/work}
diff --git a/lib/generic.mk b/lib/generic.mk
index bda8633a..0d1df079 100644
--- a/lib/generic.mk
+++ b/lib/generic.mk
@@ -245,6 +245,11 @@ listallmodels:
 	${MAKE} DATASET=${DATASET}+bt USE_BACKTRANS=1 SHUFFLE_TRAINING_DATA=1 ${@:-bt=}
 
 
+## include additional bitexts
+%-xb:
+	${MAKE} DATASET=${DATASET}+xb USE_EXTRA_BITEXTS=1 SHUFFLE_TRAINING_DATA=1 ${@:-xb=}
+
+
 ## adding a pivot language to the model
 ## --> add pivot language to each side (source and target)
 ## --> only start the task if the pivot language adds anything on either side
@@ -285,7 +290,8 @@ FT_SELECTED ?= 95
 	@for s in ${SRCLANGS}; do \
 	  for t in ${TRGLANGS}; do \
 	    if [ -e ${FORWARDTRANS_HOME}/$$s-$$t/latest ]; then \
-	      if [ ! -e `ls ${FORWARDTRANS_HOME}/$$s-$$t/latest/*.best${FT_SELECTED}.gz | head -1` ]; then \
+	      if [ `ls ${FORWARDTRANS_HOME}/$$s-$$t/latest/ | grep "best${FT_SELECTED}.gz" | wc -l` -eq 0 ]; then \
+	        echo "... extract best translations from $$s-$$t forward translations"; \
 	        ${MAKE} -C ${FORWARDTRANS_HOME} SRC=$$s TRG=$$t \
 			RETAIN=${FT_SELECTED} extract-best-translations; \
 	      fi \
diff --git a/lib/projects/elg.mk b/lib/projects/elg.mk
index b6f8a828..46ac6609 100644
--- a/lib/projects/elg.mk
+++ b/lib/projects/elg.mk
@@ -86,9 +86,14 @@ elg-ukr-students:
 elg-test-tiny2:
 	${MAKE} EMAIL= SRCLANGS=ukr TRGLANGS=eng test-tiny11-student
 	${MAKE} EMAIL= SRCLANGS=eng TRGLANGS=ukr test-tiny11-student
-	${MAKE} EMAIL= SRCLANGS=ukr TRGLANGS=deu STUDENT_DATA=ftbest-bt-nopar test-tiny11-student
+	${MAKE} EMAIL= SRCLANGS=eng TRGLANGS=ukr STUDENT_DATA=ftbest-bt-nopar test-tiny11-student
+	${MAKE} EMAIL= SRCLANGS=deu TRGLANGS=ukr test-tiny11-student
 	${MAKE} EMAIL= SRCLANGS=deu TRGLANGS=ukr STUDENT_DATA=ftbest-bt-nopar test-tiny11-student
 	${MAKE} EMAIL= SRCLANGS=deu TRGLANGS=ukr STUDENT_DATA=ftbest-ftmono-nopar test-tiny11-student
+	${MAKE} EMAIL= SRCLANGS=deu TRGLANGS=ukr STUDENT_DATA=pft-pbt-bt test-tiny11-student
+	${MAKE} EMAIL= SRCLANGS=ukr TRGLANGS=deu test-tiny11-student
+	${MAKE} EMAIL= SRCLANGS=ukr TRGLANGS=deu STUDENT_DATA=ftbest-bt-nopar test-tiny11-student
+	${MAKE} EMAIL= SRCLANGS=ukr TRGLANGS=deu STUDENT_DATA=ftbest-ftmono-nopar test-tiny11-student
 	${MAKE} EMAIL= SRCLANGS="ces slk" TRGLANGS=ukr STUDENT_DATA=pft-pbt-bt test-tiny11-student
 	${MAKE} EMAIL= SRCLANGS=gmq TRGLANGS=ukr STUDENT_DATA=pft-pbt-bt test-tiny11-student
 
@@ -185,6 +190,14 @@ elg-ukr2lit-tiny11:
 	${MAKE} STUDENT_DATA=pft-pbt-bt SRCLANGS=ukr TRGLANGS=lit train-tiny11-student
 
 
+elg-pol2ukr-student2:
+	${MAKE} MARIAN_EXTRA=--no-restore-corpus MARIAN_EARLY_STOPPING=15 CHECK_TRAINDATA_SIZE=1 CLEAN_CORPUS_TRAINING_DATA=1 STUDENT_DATA=pft-pbt-bt-xb SRCLANGS=pol TRGLANGS=ukr train-tiny11-student
+
+elg-ukr2pol-student2:
+	${MAKE} MARIAN_EXTRA=--no-restore-corpus MARIAN_EARLY_STOPPING=15 CHECK_TRAINDATA_SIZE=1 CLEAN_CORPUS_TRAINING_DATA=1 STUDENT_DATA=pft-pbt-bt-xb SRCLANGS=ukr TRGLANGS=pol train-tiny11-student
+
+
+
 
 
 elg-ces_slk2ukr-tiny11:
@@ -228,6 +241,33 @@ elg-ukr2deu-student3:
 
 
 
+elg-fin2ukr-student2:
+	${MAKE} SUBWORD_VOCAB_SIZE=16000 MARIAN_EARLY_STOPPING=15 SRCLANGS=fin TRGLANGS=ukr CHECK_TRAINDATA_SIZE=1 CLEAN_CORPUS_TRAINING_DATA=1 STUDENT_DATA=ftbest-ftmono-nopar train-tiny11-student
+
+
+elg-fin2ukr-student:
+	${MAKE} MARIAN_EARLY_STOPPING=15 SRCLANGS=fin TRGLANGS=ukr CHECK_TRAINDATA_SIZE=1 CLEAN_CORPUS_TRAINING_DATA=1 STUDENT_DATA=ftbest-ftmono-nopar train-tiny11-student
+
+elg-ukr2fin-student:
+	${MAKE} MARIAN_EXTRA=--no-restore-corpus MARIAN_EARLY_STOPPING=15 SRCLANGS=ukr TRGLANGS=fin CHECK_TRAINDATA_SIZE=1 CLEAN_CORPUS_TRAINING_DATA=1 STUDENT_DATA=ftbest-ftmono-nopar train-tiny11-student
+
+elg-zle2fin-student:
+	${MAKE} MARIAN_EXTRA=--no-restore-corpus MARIAN_EARLY_STOPPING=15 \
+		DATA_PREPARE_HPCPARAMS='${DATA_PREPARE_HPCPARAMS} CPUJOB_HPC_DISK=1000' \
+		DATA_ALIGN_HPCPARAMS="${DATA_ALIGN_HPCPARAMS} CPUJOB_HPC_DISK=1000" \
+		CHECK_TRAINDATA_SIZE=1 CLEAN_CORPUS_TRAINING_DATA=1 \
+		STUDENT_DATA=ftbest-ftmono-nopar SRCLANGS="ukr rus" TRGLANGS=fin \
+		LANGPAIRSTR="zle-fin-tiny" train-tiny11-student
+
+
+elg-fin2rus-student:
+	${MAKE} MARIAN_EARLY_STOPPING=15 SRCLANGS=fin TRGLANGS=rus CHECK_TRAINDATA_SIZE=1 CLEAN_CORPUS_TRAINING_DATA=1 STUDENT_DATA=ftbest-ftmono-nopar train-tiny11-student
+
+elg-rus2fin-student:
+	${MAKE} MARIAN_EARLY_STOPPING=15 SRCLANGS=rus TRGLANGS=fin CHECK_TRAINDATA_SIZE=1 CLEAN_CORPUS_TRAINING_DATA=1 STUDENT_DATA=ftbest-ftmono-nopar train-tiny11-student
+
+
+
 
 elg-spa2ukr-student:
 	${MAKE} MARIAN_EARLY_STOPPING=15 SRCLANGS=spa TRGLANGS=ukr train-tiny11-student
@@ -252,6 +292,9 @@ elg-ukr2eng-student:
 elg-eng2ukr-student2:
 	${MAKE} MARIAN_EARLY_STOPPING=15 STUDENT_DATA=ftbest-bt-nopar SRCLANGS=eng TRGLANGS=ukr train-tiny11-student
 
+elg-ukr2eng-student2:
+	${MAKE} CONTINUE_EXISTING=1 MARIAN_EARLY_STOPPING=15 SRCLANGS=ukr TRGLANGS=eng STUDENT_DATA=ftbest-ftmono-nopar train-tiny11-student
+
 
 
 ## missing evaluations and dist packages
@@ -282,6 +325,14 @@ elg-dist-missing:
 
 
 
+elg-zle2fin-pivot:
+	${MAKE} MARIAN_EXTRA=--no-restore-corpus MODELTYPE=transformer-big tatoeba-zle2fin-trainjob-pbt-pft-bt
+
+elg-fin2zle-pivot:
+	${MAKE} MARIAN_EXTRA=--no-restore-corpus MODELTYPE=transformer-big tatoeba-fin2zle-trainjob-pbt-pft-bt
+
+
+
 elg-continue-missing:
 	for l in deu fra ita por spa; do \
 	    ${MAKE} MODELTYPE=transformer-big tatoeba-$${l}2zle-trainjob; \
@@ -373,6 +424,12 @@ elg-eval-big2zle:
 	    ${MAKE} MODELTYPE=transformer-big tatoeba-$${l}2zle-eval-testsets; \
 	done
 
+elg-eng2zle-xb:
+	${MAKE} MARIAN_EXTRA=--no-restore-corpus MODELTYPE=transformer-big CONTINUE_EXISTING=1 tatoeba-eng2zle-trainjob-bt-xb
+
+elg-zle2eng-xb:
+	${MAKE} MARIAN_EARLY_STOPPING=25 MARIAN_EXTRA=--no-restore-corpus MODELTYPE=transformer-big CONTINUE_EXISTING=1 tatoeba-zle2eng-trainjob-bt-xb
+
 
 elg-pivot-eval:
 	for l in dan swe fin deu ron tur; do \
diff --git a/lib/tasks.mk b/lib/tasks.mk
index 1a4668bc..b191059a 100644
--- a/lib/tasks.mk
+++ b/lib/tasks.mk
@@ -345,3 +345,15 @@ job1-step3:
 	${MAKE} all-bt
 
 
+
+
+print-info:
+	@echo "model file: ${MODEL_START}"
+	@echo "source vocab: ${MODEL_SRCVOCAB}"
+	@echo "target vocab: ${MODEL_TRGVOCAB}"
+	@echo "final model file: ${MODEL_FINAL}"
+	@echo "latest compatible model: ${MODEL_LATEST}"
+	ls -t 	${WORKDIR}/*${MODEL_VARIANT}.${PRE_SRC}-${PRE_TRG}.${subst -align,,${MODELTYPE}}.model[0-9].npz \
+			${WORKDIR}/*${MODEL_VARIANT}.${PRE_SRC}-${PRE_TRG}.${subst -align,,${MODELTYPE}}-align.model[0-9].npz \
+			${WORKDIR}/*${MODEL_VARIANT}.${PRE_SRC}-${PRE_TRG}.${subst -align,,${MODELTYPE}}.best-perplexity.npz \
+			${WORKDIR}/*${MODEL_VARIANT}.${PRE_SRC}-${PRE_TRG}.${subst -align,,${MODELTYPE}}-align.best-perplexity.npz
diff --git a/tatoeba/Makefile b/tatoeba/Makefile
index 695308fe..87162f7b 100644
--- a/tatoeba/Makefile
+++ b/tatoeba/Makefile
@@ -348,7 +348,6 @@ tatoeba-%-train:
 			TATOEBA_TRGLANG_GROUP="`langgroup -n $$t`" \
 			all-groupsize-limits; )
 
-
 ## start the training job
 ## - create config file
 ## - create data sets
@@ -383,6 +382,17 @@ tatoeba-%-pivotlang:
 	fi
 
 
+tatoeba-%-info:
+	-( s=$(firstword $(subst 2, ,$(patsubst tatoeba-%-info,%,$@))); \
+	   t=$(lastword  $(subst 2, ,$(patsubst tatoeba-%-info,%,$@))); \
+	   S="${call find-srclanggroup,${patsubst tatoeba-%-info,%,$@},${PIVOT}}"; \
+	   T="${call find-trglanggroup,${patsubst tatoeba-%-info,%,$@},${PIVOT}}"; \
+	   ${MAKE} LANGPAIRSTR=$$s-$$t SRCLANGS="$$S" TRGLANGS="$$T" \
+			TATOEBA_SRCLANG_GROUP="`langgroup -n $$s`" \
+			TATOEBA_TRGLANG_GROUP="`langgroup -n $$t`" \
+			print-info; )
+
+
 ## evaluate with the model-specific test set
 tatoeba-%-eval:
 	( s=$(firstword $(subst 2, ,$(patsubst tatoeba-%-eval,%,$@))); \