corpus tag 0.0024891
lexical tag 0.0023010820000000003
tag set 0.002252392
same tag 0.00221647
input word 0.002126852
word tags 0.0021255329999999998
statistical tag 0.00205468
current word 0.00203411
morphological tagger 0.0020277159999999997
tag sequence 0.001912417
engcg tag 0.001902016
word string 0.0018947
entire word 0.001866724
word subset 0.001836767
unseen word 0.001835129
tag pair 0.0018319970000000001
single tag 0.0018280560000000002
particular word 0.0018251629999999999
tth word 0.0018193859999999999
common tag 0.001803656
tag application 0.00179401
statistical tagger 0.0017815499999999998
last tag 0.0017646810000000001
tag sets 0.001750162
unique tag 0.0017494670000000002
training corpus 0.0017412590000000002
unknown words 0.00173166
optimal tag 0.001724239
probable tag 0.001714765
tag omissions 0.001712678
lexical information 0.0016763379999999999
tagger engcg 0.001628886
test data 0.001623742
unseen words 0.001621539
known words 0.001620686
frequent words 0.0016048770000000002
capitalized words 0.001602696
same information 0.001591726
training data 0.001538541
ical tagger 0.001504309
igram tagger 0.0014814799999999999
probabilistic tagger 0.001460084
stochastic tagger 0.001451148
tistical tagger 0.001440434
tagger recur 0.0014353999999999999
tagger access 0.0014353999999999999
benchmark corpus 0.001368969
corpus size 0.001368448
lexical probabilities 0.001346732
words 0.00134368
university corpus 0.001341531
brown corpus 0.0013316950000000001
corpus resources 0.001327091
model parameters 0.001324286
corpus versions 0.0013230100000000001
consensus corpus 0.0012964510000000001
morphological analysis 0.001281314
pos tagging 0.0012524440000000001
same sequence 0.001227487
first set 0.001221667
test corpora 0.001207443
different approaches 0.001190483
tagger 0.00117757
linguistic rules 0.001167759
morphological analyses 0.001164403
further training 0.001164313
different analy 0.0011510090000000001
lexical component 0.001145253
morphological dis 0.0011315919999999998
statistical taggers 0.001123657
information sources 0.001119021
sparse data 0.001117811
morphological analyser 0.001117192
morphological disambiguator 0.0011134
morphological nal 0.001112664
lexical anal 0.001112479
entire set 0.001111146
morphological mbiguities 0.0011092279999999999
morphological nalyses 0.0011092279999999999
morphological description 0.0011092279999999999
set conversion 0.001091843
engcg tagging 0.0010881810000000001
textual information 0.001084596
hypothesis test 0.00107831
error rate 0.001073331
same amount 0.0010590690000000002
individual probability 0.001056482
possible tags 0.00104117
multiple tags 0.001039187
learning curve 0.0010387320000000001
corpus 0.0010384
other surface 0.001037579
linguistic approach 0.001030838
model 0.00103073
constraint rules 0.00102628
other articles 0.0010249740000000001
engcg tags 0.001019579
disagreement probability 0.001008449
main methods 0.001007067
total error 0.001006545
