nbest:   100       # how many entries in the nbest list?
corpus:  geo       # which corpus? [geo, robo]
lang:    en        # which language? [en, de, el, th]
stem:    true     # 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, all]
workdir: work      # where?

# experimental, and unrelated to published work
retrain:     false   # after tuning, re-extract phrases from tune and train data
filter:      false   # filter malformed trees from phrase table?
lfrac:       1.0     # what fraction of training sentences should be labeled?
monolingual: false   # use monolingual data?
ul_only:     false   # reweight only with unlabeled data
nlg:         false   # do MRL->NL rather than semantic parsing