word model 0.005701359999999999
word probability 0.005218715
word segmentation 0.004996364999999999
unknown word 0.004980607999999999
japanese word 0.004940172
new word 0.004915469
word frequency 0.0048994469999999995
word bigram 0.004870976999999999
bigram word 0.004870976999999999
word models 0.004861124
different word 0.004839314
word bigrams 0.004824844
word length 0.00481483
word sequence 0.004812947999999999
possible word 0.004804851
single word 0.004800062
word spelling 0.004772848
initial word 0.00476035
word boundary 0.004750651999999999
trigram word 0.004747576
word trigram 0.004747576
languages word 0.004742263
unigram word 0.004732037999999999
word unigram 0.004732037999999999
word types 0.004730069
word extraction 0.004722446999999999
average word 0.004718172
measures word 0.004715753
word hypotheses 0.004705157999999999
third word 0.004701375
distinct word 0.004696507
word tag 0.004691425999999999
probabilistic word 0.004691343999999999
word frequencies 0.004690013999999999
wrong word 0.004686094
partial word 0.004685959
robust word 0.004684425
hidden word 0.004679582999999999
word hypothesis 0.004675255
known word 0.004666620999999999
word tags 0.004665224999999999
reasonable word 0.00466519
word tokens 0.0046644139999999995
word ext 0.004663018
likely word 0.0046622569999999995
word segmentat 0.004661813999999999
matching word 0.004658493
word lengths 0.004657354999999999
word fre 0.0046561449999999996
word entry 0.004655716999999999
expected word 0.004654897999999999
word segmenter 0.0046542499999999995
word seg 0.004652931999999999
final word 0.004652251
sible word 0.0046496129999999995
word segmen 0.004648553
word segmentations 0.004647961999999999
word list 0.004647124
tical word 0.004646834999999999
word hypoth 0.004646589
erroneous word 0.004646285
pected word 0.004645445999999999
word extrac 0.004645445999999999
word unigrarn 0.004645445999999999
overlapping word 0.004645445999999999
age word 0.004645445999999999
spurious word 0.004645445999999999
character words 0.002291953
language model 0.0022059889999999998
model probability 0.002081295
unknown words 0.001898278
segmentation model 0.0018589449999999999
other words 0.0018415559999999998
new words 0.001833139
frequency words 0.001817117
bigram model 0.001733557
length model 0.0016774099999999998
statistical model 0.001655021
tile words 0.001638739
spelling model 0.001635428
language data 0.001634185
neighboring words 0.001623268
long words 0.001615825
trigram model 0.001610156
unigram model 0.001594618
quency words 0.00158951
known words 0.0015842909999999998
model recall 0.001583782
matching words 0.001576163
model segmentat 0.0015243939999999999
gram model 0.0015243779999999998
unknown character 0.001516111
mentation model 0.0015126019999999998
segmentahon model 0.0015081169999999998
japanese character 0.001475675
character bigram 0.0014064799999999999
language models 0.001365753
character bigrams 0.001360347
length character 0.001350333
character length 0.001350333
