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+nbest: 100 # how many entries in the nbest list?
+corpus: geo # which corpus? [geo, robo]
+lang: en # which language? [en, de, el, th]
+stem: false # run the stemmer?
+symm: tgttosrc # which symmetrization? [e.g. srctotgt, tgttosrc, grow, ...]
+np: true # use NP list?
+np_type: all # what version of NP list?
+model: hier # which machine translation model? [phrase, hier]
+run: test # which experiment? [dev, test, debug]
+workdir: work # where?
+filter: false # filter phrase table?
+lfrac: 1.0 # what fraction of training sentences should be labeled?
+monolingual: false # use monolingual data?
+ul_only: false
+retrain: false
+nlg: true