word features 0.00378928
words model 0.0033913700000000003
word accuracy 0.002866327
unknown word 0.002861962
word error 0.0027637419999999996
first word 0.002732609
word tagging 0.0027011879999999998
words accuracy 0.002561677
unknown words 0.002557312
additional word 0.0025019459999999997
other words 0.0024734229999999998
certain word 0.002472836
previous word 0.0024591829999999998
word tokens 0.002453922
next word 0.0024255929999999998
current word 0.002423622
total word 0.0024047039999999997
ambiguous word 0.0023842629999999997
known word 0.002367542
preceding word 0.0023527839999999997
several words 0.00228876
same features 0.002271515
model performance 0.002218041
baseline model 0.002157631
probability model 0.002154754
particular words 0.002120383
specific words 0.002082316
common words 0.002074984
rare words 0.002066961
additional features 0.002065366
known words 0.002062892
different feature 0.0020490589999999998
preceding words 0.002048134
particle words 0.002041785
capitalized words 0.002037335
unseen words 0.002036514
empirical model 0.002008905
model overall 0.001981034
model estimation 0.0019756820000000003
entropy model 0.001953697
markov model 0.001936252
prefix features 0.00192942
capitalization features 0.001917071
sophisticated features 0.001909054
accuracy tag 0.0018731870000000001
tag accuracy 0.0018731870000000001
final model 0.0018299520000000001
extended model 0.0018118230000000002
model complexity 0.0018098900000000002
words 0.00180828
features 0.00167635
tag sequence 0.001660113
data set 0.001634403
similar feature 0.001623658
different models 0.001610202
model 0.00158309
separate feature 0.001573678
feature type 0.001561095
special feature 0.001550584
general feature 0.001546775
new feature 0.001545022
second feature 0.00154277
speech tag 0.0015280600000000001
tag ambiguity 0.0015232520000000001
accuracy accuracy 0.001506794
training data 0.0014944009999999998
tag dictionary 0.00146679
previous tag 0.001466043
feature weights 0.001465341
feature template 0.001450784
rare feature 0.001449571
feature templates 0.001441796
actual feature 0.001424893
feature schemas 0.00141691
feature look 0.001414996
feature tem 0.001414996
likelihood tag 0.001404211
preceding tag 0.0013596440000000001
lexical information 0.0013543000000000001
matic tag 0.0013491850000000001
systematic tag 0.00134796
tag ambiguities 0.001345513
unknown training 0.0013448319999999998
tagger accuracy 0.001334855
accuracy baseline 0.001327938
accuracy test 0.0012910500000000002
different number 0.001279367
test set 0.0012734550000000002
possible tags 0.001264852
other information 0.001258951
same form 0.00124481
wsj data 0.001221626
tagger performance 0.001216409
feature 0.00119089
same information 0.001188973
overall accuracy 0.0011513410000000002
data sizes 0.0011394229999999999
different parts 0.00113885
different use 0.001137987
same sequence 0.001135488
