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trigram model 0.002236341
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trigger words 0.001750294
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journal data 0.0015952800000000001
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rare words 0.001453775
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words 0.00121905
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japanese text 0.001067064
nikkei corpus 0.0010382120000000002
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exponential models 0.001001699
language mode 9.98059E-4
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likelihood estimate 9.80266E-4
fault distribution 9.79711E-4
language processing 9.702650000000001E-4
empirical distance 9.45175E-4
parameter family 9.29072E-4
certain features 9.060930000000001E-4
maximum likelihood 8.98097E-4
parameter pairs 8.97358E-4
standard trigram 8.87044E-4
explicit features 8.812140000000001E-4
distance modeling 8.70163E-4
modeling distance 8.70163E-4
mutual information 8.69245E-4
perplexity results 8.58988E-4
trigger pairs 8.54048E-4
statistical models 8.52797E-4
ing behavior 8.51129E-4
iis algorithm 8.503510000000001E-4
nonstationary features 8.45212E-4
new methods 8.44168E-4
new modeling 8.41732E-4
likelihood estimates 8.38758E-4
exponential family 8.34815E-4
trigger groups 8.31273E-4
stationary features 8.281110000000001E-4
self trigger 8.2207E-4
baseline trigger 8.17504E-4
lexical exclusion 8.17119E-4
trigger parameters 8.14757E-4
xponential models 8.10269E-4
ing formulas 8.08629E-4
ponential parameter 8.046150000000001E-4
likelihood problem 8.01195E-4
same contribution 8.006560000000001E-4
trigger curve 7.96329E-4
distance distributions 7.92516E-4
same bump 7.82225E-4
exponential distributions 7.82121E-4
lexical exclu 7.77989E-4
previous work 7.77941E-4
mixture models 7.722919999999999E-4
trigger fea 7.710220000000001E-4
trigger pair 7.70989E-4
conversational speech 7.6653E-4
trigger plots 7.654550000000001E-4
different methods 7.654000000000001E-4
several examples 7.63615E-4
baseline trigram 7.62291E-4
