same model 0.003214796
model perplexity 0.002957364
model performance 0.002821887
such model 0.002806955
model pairs 0.002760393
independent model 0.002650375
participant model 0.002611832
only model 0.002593942
model the 0.002593489
model θcd 0.002584131
oracle model 0.002577745
dependent model 0.002568654
complete model 0.002564208
edo model 0.002557426
model rep 0.002538988
model perplexities 0.002538778
model θmiany 0.002537492
θmik model 0.0025374020000000002
model com 0.002536451
gle model 0.002534094
grouptalk model 0.002530909
model θci 0.002530909
model yields 0.002530909
model 0.00232029
same models 0.002045116
language models 0.001828544
word sequence 0.001671638
word sequences 0.001671204
same data 0.0016667729999999999
such models 0.001637275
ent word 0.001628151
gle word 0.001620744
word sequencew 0.001618004
direct models 0.0014857030000000001
models participants 0.001460225
models entry 0.001414945
data perplexity 0.001409341
group models 0.001400849
mismatched models 0.0013999
edo models 0.001387746
other words 0.0013802530000000001
separate models 0.001369227
models θcdb 0.001361187
models θcda 0.001361187
ration models 0.001361187
training data 0.00136095
standard language 0.001238772
same participants 0.001204121
same meeting 0.0012023329999999999
same way 0.001196885
same participant 0.0011860479999999999
same halves 0.001177129
speech states 0.0011729610000000001
same groups 0.001168909
language modeling 0.001154718
data analysis 0.001153875
state space 0.001152661
models 0.00115061
same conversation 0.001147257
same group 0.001144745
same purposes 0.0011422189999999999
same partici 0.001140328
markov modeling 0.001134156
conversational data 0.001128504
joint state 0.001111672
participant state 0.001106493
different corpus 0.001103534
general language 0.00109998
next state 0.001079715
unseen data 0.001072442
state interlocutors 0.001026046
conversational speech 0.001013912
data sets 0.00100479
relative perplexity 0.001001591
data ablation 9.83539E-4
transition probabilities 9.52691E-4
significant perplexity 9.43981E-4
speech exchange 9.209540000000001E-4
markov form 9.18751E-4
speech activity 9.167730000000001E-4
binary speech 9.133170000000001E-4
perplexity gap 9.12279E-4
speech occurrence 9.06254E-4
speech regions 9.03692E-4
prior probabilities 8.97866E-4
other hand 8.765099999999999E-4
edo perplexity 8.742099999999999E-4
markov processes 8.70615E-4
other participants 8.67268E-4
relative performance 8.661140000000001E-4
large base 8.64839E-4
perplexity trajecto 8.500119999999999E-4
perplexity reductions 8.500119999999999E-4
perplexity depar 8.500119999999999E-4
perplexity varia 8.500119999999999E-4
important problem 8.46162E-4
probability mass 8.423269999999999E-4
training conversation 8.414340000000001E-4
bigram modeling 8.38648E-4
first row 8.35218E-4
