word probability 0.0024422339999999997
single word 0.002174156
language model 0.001868921
language models 0.001488053
ing data 0.001415166
language modeling 0.0013164939999999999
same data 0.001266697
training data 0.001256307
bigram model 0.001182245
test data 0.001129463
data size 0.00110365
data sets 0.001094365
unigram model 0.001087163
language 0.00107877
trigram model 0.001069095
large corpus 0.0010365539999999999
linguistic data 0.0010340380000000001
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identical data 0.001018373
probability distribution 0.0010141640000000001
guage model 0.001011744
model pml 0.001004662
ipster data 0.001004178
model tdgram 0.001001392
tdgram model 0.001001392
tzigram model 0.00100007
tipster data 9.94514E-4
eral data 9.9379E-4
data tradeoff 9.91918E-4
data ivt 9.91918E-4
data consor 9.91918E-4
trajelng data 9.91918E-4
such scope 9.67981E-4
first smoothing 9.57032E-4
search algorithm 9.554230000000001E-4
other smoothing 9.53147E-4
smooth ing 9.50387E-4
training set 9.482290000000001E-4
parameter search 9.44091E-4
ing techniques 9.30783E-4
common words 9.221570000000001E-4
bucket ing 9.07535E-4
stochastic parsing 8.81031E-4
average probability 8.80367E-4
journal corpus 8.78241E-4
bigram training 8.66361E-4
brown corpus 8.66353E-4
large training 8.6374E-4
gle corpus 8.63298E-4
lion words 8.56525E-4
preced ing 8.52827E-4
smoothing method 8.48238E-4
single parameter 8.46968E-4
inn ing 8.4421E-4
single training 8.374330000000001E-4
first time 8.32691E-4
new counts 8.26736E-4
different parameters 8.234550000000001E-4
iscuss ion 8.213799999999999E-4
method bigram 8.190879999999999E-4
bigram smoothing 8.13338E-4
performance evaluation 8.08921E-4
simple linear 8.080030000000001E-4
many training 8.038489999999999E-4
bigram models 8.01377E-4
set size 7.95572E-4
model 7.90151E-4
training sets 7.86592E-4
several smoothing 7.77619E-4
other domains 7.706550000000001E-4
simple smoothing 7.67723E-4
linear interpolation 7.658179999999999E-4
other study 7.65363E-4
parameter selection 7.60954E-4
smoothing methods 7.59974E-4
same bucket 7.59066E-4
optimal parameter 7.493809999999999E-4
parameter values 7.46856E-4
relative performance 7.455459999999999E-4
similar performance 7.43656E-4
multiple training 7.418769999999999E-4
speech recognition 7.39267E-4
same value 7.31672E-4
interpolation method 7.31288E-4
new bucket 7.30801E-4
reasonable form 7.293930000000001E-4
smoothing techniques 7.18901E-4
new bucketing 7.17049E-4
set sizes 7.163100000000001E-4
smoothing technique 7.14943E-4
baseline method 7.126369999999999E-4
smoothing work 7.11082E-4
parameter val 7.09913E-4
poor parameter 7.05795E-4
various smoothing 7.05671E-4
parameter setting 7.05104E-4
term smoothing 7.0141E-4
parameter optimization 7.011049999999999E-4
empirical comparison 6.97093E-4
