map = word=0,answer=1
bisequenceClassifierPropCh = cn.prop
bisequenceClassifierPropEn = en.prop
supFileEN = en.train.BO
supFileCH = cn.train.BO

# unannotated bitext 
unsupFileEN = en.unsup.BO
unsupFileCH = cn.unsup.BO
unsupAlignFile = unsup.align

# to speed up training, pre-train the CRF baseline models and load them here
# to generate the weights file, use flag "-serializeWeightsTo $lang.weights.gz"
loadWeightsFromEN = en.weights.gz
loadWeightsFromCH = cn.weights.gz
# to generate the feature index file, use flag "-serializeFeatureIndexTo $lang.FeatureIndex.gz"
loadFeatureIndexFromEN = en.FeatureIndex.gz
loadFeatureIndexFromCH = cn.FeatureIndex.gz

# learned monolingual CH model output to
serializeToCH = cn.bilingual.ser.gz

# lambdaCH controls how much mixing coefficient (weight) of the unsupervised objective term in the final objective
lambdaCH = 1
alignmentPruneThreshold=0.9
doFeatureDiscovery = true
learnCHBasedOnEN = true
learnENBasedOnCH = false

sigma = 20
useQN = true
QNsize = 25
useRobustQN = true
# set tolerance to greater value if running L-BFGS with early termination
# tolerance = 1e-4
checkGradient = false
multiThreadGrad = 8