word stress 0.00462934
certain word 0.003378973
content word 0.003376352
word count 0.003366947
word level 0.003356604
proper word 0.003352674
word sequences 0.0033519789999999997
word boundaries 0.0033396069999999996
word order 0.003318138
probable word 0.003295035
word choice 0.0032940499999999998
word arrangement 0.0032900489999999998
language model 0.002768429
stress corpus 0.002307598
markov model 0.002137927
stress entropy 0.002115526
model size 0.002068685
lexical stress 0.002057026
gram model 0.002056003
backoff model 0.002042048
trained model 0.002007804
function words 0.001967585
strong stress 0.001964373
primary stress 0.001958676
stress sequence 0.001949382
stress values 0.001947475
stress symbol 0.00193449
stress patterns 0.001925814
distinct stress 0.001911098
stress pattern 0.001897053
stress events 0.0018737110000000001
stress states 0.00186561
secondary stress 0.001862759
binary stress 0.001859786
stress sequences 0.0018597190000000001
stress stream 0.001853213
multiple stress 0.001835832
stress levels 0.001825977
stress regularity 0.001821565
regular stress 0.0018157730000000001
weak stress 0.001804935
stress assignment 0.00180298
extra stress 0.001795121
stress regu 0.001791945
stress clash 0.001790105
trong stress 0.001790105
lexicallzing stress 0.001790105
stress reg 0.001790105
stress placements 0.001790105
physical stress 0.001790105
model 0.00178572
common words 0.0017698750000000002
training data 0.001698011
content words 0.001675222
unseen words 0.0016489220000000001
constituent words 0.001617296
chosen words 0.001600265
compound words 0.0015908130000000002
ual words 0.0015814230000000002
multisyllabic words 0.0015814230000000002
stress 0.00156854
language models 0.001526781
other data 0.0015198059999999998
ing data 0.001475962
language perplexity 0.001452476
new data 0.0014471179999999998
language modeling 0.001376917
words 0.00135967
trigram language 0.001346476
probability distribution 0.001314335
sentence probability 0.001300051
separate data 0.001283874
data sources 0.0012804609999999999
little data 0.001273977
limited data 0.0012734159999999999
language mod 0.0012183
lexicai language 0.001204082
large speech 0.001155438
sequence probability 0.001133777
same sentence 0.001121203
training set 0.001108558
same sentences 0.0010824860000000001
speech rhythm 0.0010668
training procedure 0.0010606320000000002
lexical approach 0.001055795
same way 0.001044009
training sequence 0.001039363
entropy rate 0.001033895
sentence perplexity 0.0010168830000000001
original corpus 0.0010147070000000001
entire corpus 0.001010577
corpus frequencies 0.001007365
such sentences 9.86833E-4
language 9.82709E-4
syllable rate 9.72653E-4
training sets 9.68439E-4
switchboard corpus 9.6563E-4
nal corpus 9.6334E-4
average number 9.59426E-4
lexical perplexity 9.582530000000001E-4
