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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: 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
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