diff --git a/GramLab/Morfette/Utils.hs b/GramLab/Morfette/Utils.hs
--- a/GramLab/Morfette/Utils.hs
+++ b/GramLab/Morfette/Utils.hs
@@ -209,7 +209,7 @@
 train (prepr,_) fspecs flags [dat,modeldir] = do
   toks <- fmap (map parseToken . lines) (readFile dat)
   let tokSet = Set.fromList [ s | t@(s,_,_) <- toks ]
-  dict <- getDict flags $ Just tokSet
+  dict <- getDict flags Nothing
   let langConf = case [f | Lang f <- flags ] of { [] -> "xx" ; [f] -> f }
       lex = Conf { dictLex = dict
                  , lang = langConf }
diff --git a/Makefile b/Makefile
new file mode 100644
--- /dev/null
+++ b/Makefile
@@ -0,0 +1,63 @@
+defaults: all
+
+
+#program name
+MORFETTE=../src/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=5
+ITERLEMMA=2
+MODELNAME=${PREF}/${TYPE}.${ITERPOS}x${ITERLEMMA}.model
+
+all: configure build
+		
+	
+check: train eval_dev
+
+
+configure:
+	runghc Setup.lhs configure --user
+
+build: configure
+	runghc Setup.lhs build
+	
+install:
+	runghc Setup.lhs install
+	
+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 ${TRAINSET} ${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
+	
diff --git a/README b/README
--- a/README
+++ b/README
@@ -1,9 +1,11 @@
 =INTRODUCTION=
 
+Morfette website: http://sites.google.com/site/morfetteweb/
+
 Morfette is a tool for supervised learning of inflectional
 morphology. Given a corpus of sentences annotated with lemmas 
 and morphological labels, and optionally a lexicon, morfette 
-learns how to morphologically analyse new sentences.
+learns how to morphologically analyse new sentences. 
 
 In the learning stage Morfette fits two separate logistic regression
 models: one for morphological tagging and one for lemmatization. The
@@ -55,7 +57,7 @@
 
 =EXAMPLE USAGE=
 To train a new model:
-morfette train --dict-file=DICT TRAINING-FILE MODEL-DIR
+morfette train --dict-file=DICT TRAINING-FILE MODEL-DIR +RTS -K100m
 
 To use the model in MODEL-DIR to analyze new data:
 morfette predict MODEL-DIR < TEST-DATA > ANALYZED-TEST-DATA
diff --git a/morfette.cabal b/morfette.cabal
--- a/morfette.cabal
+++ b/morfette.cabal
@@ -1,5 +1,5 @@
 Name:		morfette
-Version:	0.3
+Version:	0.3.1
 Homepage:	http://sites.google.com/site/morfetteweb/
 Synopsis:	A tool for supervised learning of morphology
 Description:	Morfette is a tool for supervised learning of inflectional
@@ -12,7 +12,7 @@
 Maintainer:	Grzegorz Chrupała <gchrupala@lsv.uni-saarland.de>
 build-type:     Simple
 category:       Natural Language Processing
-Extra-source-files: README, INSTALL
+Extra-source-files: README, INSTALL, Makefile
 
 Executable:     morfette
 Main-Is:        Main.hs