defaults: all
#program name
MORFETTE=dist/build/morfette/morfette
#parameters for training and eval
# modify to suit your needs
# for french TYPE can be either ftb4 or ftbmax
TYPE=ftb4
TRAINDATADIR=DATA/
PREF=${TRAINDATADIR}/${TYPE}
TRAINSET=${PREF}/ftb_1.pos.utf8.morpheteready
DEVSET=${PREF}/ftb_2.pos.utf8.morpheteready
GOLDSET=${PREF}/ftb_3.pos.utf8.morpheteready
LEXICON=${TRAINDATADIR}/lexicon/lexicon.ftb4.4morfette.csv
ITERPOS=10
ITERLEMMA=3
MODELNAME=${PREF}/${TYPE}.${ITERPOS}x${ITERLEMMA}.model
all: configure build
check: train eval_dev
# note that if you want to install in your own home directory
# add a --prefix=DIRTOINSTALL option right after the --user
# as in
# runghc Setup.lhs configure --user --prefix=/home/foo/bar
# the install target will then install the morfette compiled binary
# in /home/foo/bar/bin (bin must exist)
configure:
runghc Setup.lhs configure --user
build: configure
runghc Setup.lhs build
install: configure build
runghc Setup.lhs install
install_home:
clean:
runghc Setup.lhs clean
train:
${MORFETTE} train --iter-pos=${ITERPOS} --iter-lemma=${ITERLEMMA} \
${TRAINSET} ${MODELNAME} \
--dict=${LEXICON} +RTS -K100m -sstderr
eval_dev:
#${MORFETTE} predict ${MODELNAME} < ${DEVSET} > ${DEVSET}.tagged
${MORFETTE} eval --ignore-case /dev/null ${DEVSET} ${DEVSET}.tagged |\
tee ${DEVSET}.tagged.result.${TYPE}.${ITERPOS}x${ITERLEMMA}.model
eval_gold:
${MORFETTE} predict ${MODELNAME} < ${GOLDSET} > ${GOLDSET}.tagged
${MORFETTE} eval --ignore-case ${TRAINSET} ${GOLDSET} ${GOLDSET}.tagged |\
tee ${GOLDSET}.tagged.result.${TYPE}.${ITERPOS}x${ITERLEMMA}.model