latin word 0.003356795
language model 0.0031341
actual word 0.003111595
word forms 0.003047767
word con 0.003035785
word list 0.00303419
word lists 0.003021918
word similarity 0.00301502
ancestor word 0.0030084590000000002
ancestral word 0.003001283
parent word 0.002991257
word pairs 0.002990285
word pair 0.002979423
word survival 0.002975445
italian word 0.002975355
word associ 0.002970572
reconstructed word 0.002969034
root word 0.002968299
flat word 0.0029680970000000003
word lengths 0.0029650180000000003
ent word 0.002961505
respective word 0.0029614570000000002
daughter word 0.00296029
word focus 0.0029590190000000002
word fuoco 0.0029590190000000002
unigram model 0.002588109
language words 0.00258019
evolutionary model 0.002459481
alignment model 0.002458234
model transducers 0.002433215
phylogenetic model 0.002411383
bigram model 0.002406823
generative model 0.0023670080000000003
survival model 0.002319605
igram model 0.002309676
backoff model 0.0023039090000000003
latin words 0.002147045
cognate words 0.002141836
model 0.00207455
romance words 0.00187827
words lists 0.0018121679999999999
ancestral words 0.001791533
daughter words 0.00175054
probability distribution 0.001708847
language latin 0.001685955
latin data 0.00157784
unigram language 0.001573109
words 0.00152064
language changes 0.001494568
single language 0.001493547
data set 0.001420092
romance language 0.00141718
modern language 0.001394197
other languages 0.0013517350000000002
ancestor language 0.001337619
conditional probability 0.001326365
parent language 0.001320417
language pairs 0.001319445
romance data 0.001309065
language families 0.001291085
complete data 0.001257574
learning algorithm 0.001253473
partial data 0.001217091
probability distributions 0.001210968
log probability 0.001210957
forward probability 0.001209135
marginal probability 0.001203185
incomplete data 0.001182413
plete data 0.001181032
conditional distribution 0.0011805280000000001
geometric probability 0.0011665310000000002
probability distri 0.001159577
ping probability 0.001156796
unnormalized probability 0.001156796
other set 0.001096668
evolutionary models 0.001094567
alignment models 0.00109332
romance languages 0.001081354
other parameters 0.0010795380000000001
uniform distribution 0.001072634
parameter edit 0.0010693299999999998
language 0.00105955
marginal distribution 0.001057348
family distribution 0.001040747
reconstruction models 0.001032609
terior distribution 0.001020807
geometric distribution 0.001020694
new transducer 0.001010104
edit distance 0.001005333
cognate group 9.910309999999999E-4
distance transducer 9.842940000000001E-4
matching algorithm 9.83167E-4
multiple languages 9.80902E-4
distance parameter 9.79517E-4
good test 9.720029999999999E-4
standard unigram 9.59677E-4
unrelated languages 9.58895E-4
other factor 9.51543E-4
ascent algorithm 9.49667E-4
cognate groups 9.492459999999999E-4
