input=test/example/nc-wmt11.1k.gz    # use '-' for stdin
output=-                             # a weights file or stdout
decoder_config=test/example/cdec.ini # ini for cdec
# these will be printed on each iteration
print_weights=Glue WordPenalty LanguageModel LanguageModel_OOV PhraseModel_0 PhraseModel_1 PhraseModel_2 PhraseModel_3 PhraseModel_4 PhraseModel_5 PhraseModel_6 PassThrough
tmp=/tmp
stop_after=10 # stop iteration after 10 inputs 

# interesting stuff
epochs=3                # run over input 3 times
k=200                   # use 100best lists
N=4                     # optimize (approx) BLEU4
learning_rate=0.0001    # learning rate
gamma=0.00001           # use SVM reg
scorer=stupid_bleu      # use stupid BLEU+1 approx.
sample_from=kbest       # use kbest lists (as opposed to forest)
filter=uniq             # only uniq entries in kbest
pair_sampling=108010    # 10 vs 80 vs 10 and 80 vs 10
pair_threshold=0        # minimum distance in BLEU
select_weights=last     # just output last weights