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klein model 0.002302183
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tag probabilities 0.0012082080000000001
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tag pairs 0.0011196000000000001
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bayesian learning 9.92267E-4
different cases 9.73586E-4
standard expectation 9.68375E-4
ideal parameters 9.52057E-4
labeled corpus 9.41816E-4
backoff distribution 9.345239999999999E-4
parameter estimate 9.292619999999999E-4
pervised learning 9.28233E-4
models 9.26567E-4
different regulariza 9.24594E-4
other dependents 9.235210000000001E-4
language 9.17277E-4
several ideas 9.13765E-4
other studies 9.124490000000001E-4
dependency 9.12206E-4
supervised grammar 9.09108E-4
posterior regularization 9.045500000000001E-4
parameter sparsity 9.04161E-4
penalty term 8.99532E-4
random pools 8.95985E-4
normal parameter 8.803940000000001E-4
iliary distribution 8.793099999999999E-4
same direction 8.782060000000001E-4
fixed set 8.65213E-4
log likelihood 8.640290000000001E-4
small number 8.61461E-4
soft parameter 8.58108E-4
grammar induction 8.414500000000001E-4
first exten 8.414259999999999E-4
possible types 8.387029999999999E-4
english performance 8.38693E-4
method name 8.37846E-4
maximum child 8.3371E-4
additional languages 8.309229999999999E-4
