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+input=test/example/nc-wmt11.1k.gz # use '-' for STDIN
+output=- # a weights file (add .gz for gzip compression) or STDOUT '-'
+decoder_config=test/example/cdec.ini # config for cdec
+# weights for these features 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=20 # stop epoch after 20 inputs
+
+# interesting stuff
+epochs=3 # run over input 3 times
+k=100 # use 100best lists
+N=4 # optimize (approx) BLEU4
+scorer=stupid_bleu # use 'stupid' BLEU+1
+learning_rate=0.0001 # learning rate
+gamma=0 # use SVM reg
+sample_from=kbest # use kbest lists (as opposed to forest)
+filter=uniq # only unique entries in kbest (surface form)
+pair_sampling=XYX
+hi_lo=0.1 # 10 vs 80 vs 10 and 80 vs 10 here
+pair_threshold=0 # minimum distance in BLEU (this will still only use pairs with diff > 0)
+select_weights=VOID # don't output weights