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unknown words 0.00330907
set word 0.0029710970000000002
word sense 0.002882303
words corpus 0.00286106
word research 0.0027955320000000003
such words 0.002785071
word contexts 0.0027799390000000004
word level 0.0027771600000000003
class word 0.00277171
word class 0.00277171
word sinica 0.002752561
known word 0.00274337
monosyllabic word 0.002742964
word prediction 0.0027247950000000003
word classes 0.00270402
multisynllabic word 0.002697931
word 跑旱船 0.002697931
biguous word 0.002697931
chinese words 0.002579227
other words 0.0025776790000000003
new words 0.002442142
lexical words 0.002339599
cilin words 0.002331291
known words 0.0023024
novel words 0.00227718
multisyllabic words 0.002268626
multisyallabic words 0.002259894
words 0.00197517
semantic category 0.00190172
corpus analysis 0.001560763
semantic knowledge 0.001533683
semantic similarity 0.001426612
semantic classifier 0.001413146
semantic class 0.00139091
semantic thesaurus 0.001389791
semantic classification 0.001389622
possible category 0.001382084
semantic measurement 0.001371393
semantic whoseword 0.001364596
semantic taxonomy 0.001364596
time noun 0.001354737
semantic cate 0.001351809
morphological rules 0.00135154
semantic categorization 0.0013323850000000002
semantic clas 0.001321146
semantic catego 0.001318723
semantic parsers 0.001318723
information system 0.0012587219999999999
morphological segmentation 0.00124862
test set 0.001241708
correct category 0.001237042
information content 0.001228004
morphological analyzer 0.001227241
morphological similarity 0.001224045
syntactic category 0.001223315
sinica corpus 0.001222311
contextual information 0.001209837
corpus lexicons 0.0012004329999999999
such suffixes 0.001195142
morphological head 0.001194496
next approach 0.0011761179999999999
information con 0.001160758
morphological suf 0.001160072
ancestor information 0.001159944
mantic category 0.00115818
morphological structures 0.001141365
morphological structure 0.00113953
tual information 0.001133715
such problems 0.001130744
valuable information 0.001126433
error analysis 0.001122488
analysis error 0.001122488
character combinations 0.001117844
neighbor approach 0.001106995
such compounding 0.001094117
proper noun 0.00108837
chinese suffix 0.001083183
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training data 0.001068068
baseline method 0.001061045
many examples 0.00105813
training set 0.0010394409999999999
different relations 0.001027473
different structures 0.001021402
other space 0.001020707
different structure 0.001019567
language processing 0.001017876
sense disambiguation 0.001015514
chinese electronic 0.0010068499999999999
adverbial time 0.001001597
recursive time 9.99235E-4
chinese compounds 9.95437E-4
possible categories 9.93726E-4
common noun 9.927389999999999E-4
chinese morphology 9.86826E-4
location noun 9.85754E-4
main categories 9.78136E-4
data errors 9.729059999999999E-4
classification method 9.70079E-4
