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word segmentation 0.0035208360000000003
word tagger 0.003409853
word information 0.00340593
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heterogeneous word 0.0033014610000000003
ctb word 0.00320249
same word 0.0031980010000000002
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ppd word 0.003093221
word boundary 0.003062624
word seg 0.003038791
word structures 0.002981544
word classifica 0.002971909
word tokens 0.0029576290000000002
word boundaries 0.002948084
whole word 0.002944495
word segmenta 0.002940372
word struc 0.0029400480000000002
neous word 0.00293919
word delimiters 0.0029339450000000003
word formation 0.0029325
explicit word 0.002929656
press word 0.0029289150000000003
character model 0.0028562099999999997
annotation data 0.00285425
training data 0.002685747
tagging model 0.002662046
pos tag 0.0026398899999999998
pos annotation 0.0026044700000000002
heterogeneous data 0.002419881
such data 0.002398238
pos tagging 0.002397386
baseline model 0.0023710569999999998
ctb data 0.00232091
same data 0.002316421
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ing data 0.002272095
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data set 0.002247382
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ppd data 0.002211641
test data 0.002208141
conversion model 0.0021799519999999998
labeled data 0.00215538
model ensemble 0.002142471
novel model 0.002138176
unlabeled data 0.002122871
model ctagppd 0.002107782
development data 0.002092367
possible pos 0.002089146
ctagctb model 0.002084602
noisy data 0.002072598
ging model 0.002072458
stagctb model 0.002066806
daily data 0.002059825
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opment data 0.00204864
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ppd pos 0.001961861
character tagging 0.001936496
additional pos 0.001911835
heterogeneous features 0.001886641
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other words 0.0018337240000000001
different character 0.001822871
character tagger 0.001817603
pos informa 0.0018151180000000001
pos infor 0.0018046730000000001
style pos 0.001802393
positional pos 0.001799523
model 0.00179088
heterogeneous tag 0.001757551
character label 0.001748428
heterogeneous annotation 0.001722131
new features 0.0017039020000000002
different training 0.001667288
ctb tag 0.00165858
following features 0.001656099
ctb words 0.00164905
tagging different 0.001628707
annotation standard 0.001572824
complementary features 0.001572262
heterogeneous models 0.001570171
training corpus 0.001553151
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ppd words 0.001539781
joint chinese 0.001532924
formation features 0.00151768
relative error 0.0015017540000000001
candidate character 0.0014826779999999999
character classification 0.001481352
annotation conversion 0.001467322
tagging method 0.001444954
tagging results 0.001436644
annotation ensemble 0.001429841
specific annotation 0.001428424
correct words 0.001423496
character labels 0.001417354
