word stress 0.002138281
word error 0.0020743240000000002
different training 0.001996453
word boundary 0.001962913
word phonemization 0.001956924
annotated word 0.0019490220000000001
word stem 0.0019482240000000001
whole word 0.001928108
word lists 0.001924878
word book 0.001922925
word pronuncia 0.001922925
word pronunciation 0.001922925
morphological information 0.001900691
morphological system 0.0017155809999999999
training corpus 0.0016374480000000001
large data 0.0015638240000000001
morphological systems 0.001472415
training set 0.001471334
small data 0.001417911
additional language 0.00141111
major data 0.001388425
data sets 0.001363978
stress model 0.001346787
morphological knowledge 0.001345447
morphological component 0.001331129
data sparseness 0.001329428
tional data 0.001324243
unsupervised morphological 0.0013228229999999999
different amounts 0.001321036
different levels 0.001319351
different sources 0.0013181970000000001
conversion model 0.001312538
different sizes 0.001309995
nettalk data 0.001306165
different kinds 0.001305656
different digits 0.001304142
morphological segmentation 0.0013025349999999998
annotated data 0.001299522
source language 0.001296573
morphological analyses 0.001281672
complex words 0.001276992
severe data 0.001272954
morphological annotation 0.0012695949999999999
morphological structure 0.0012669229999999999
morphological boundaries 0.001260021
morphological com 0.001258235
syllabification information 0.001255524
same corpus 0.001247088
segmentation information 0.00124162
morphological preprocessing 0.001237576
stressed words 0.00123433
simple model 0.001230266
language modelling 0.001229054
segment words 0.001225161
arbitrary words 0.001224261
simplex words 0.001224261
morphological informa 0.001224227
same time 0.001222597
morphological seg 0.00121959
markov model 0.001218378
morphological segmen 0.0012149869999999998
morphological decomposition 0.0012149869999999998
morphological annota 0.0012149869999999998
morphological preprocess 0.0012149869999999998
logical information 0.001205551
phological information 0.001195701
training cor 0.0011902500000000001
assignment model 0.001176841
original model 0.001157148
labification information 0.001155458
gram model 0.001135369
model profits 0.00113117
bility model 0.00113117
performance results 0.001085076
same set 0.001080974
processing time 0.001075946
test set 0.001074804
new states 0.001056735
conversion accuracy 0.001048186
german corpus 0.001042489
corpus size 0.001037562
celex corpus 0.001023822
conversion results 0.001023213
synthesis system 0.0010151819999999999
modular system 0.001010408
segmentation method 0.001009486
words 9.89827E-4
accuracy improvement 9.87215E-4
language 9.86886E-4
ical system 9.81762E-4
reports system 9.813069999999998E-4
morphological 9.80803E-4
translation systems 9.78377E-4
nettalk corpus 9.7719E-4
tts system 9.704129999999999E-4
mentation system 9.704129999999999E-4
new state 9.70199E-4
several letters 9.59719E-4
systems evaluation 9.591210000000001E-4
new transition 9.48824E-4
