word information 0.001660889
first word 0.001579452
training data 0.0015699590000000001
other words 0.001521398
data distribution 0.001454358
head word 0.001410537
data figure 0.0013983099999999998
test data 0.001393505
word chunks 0.0013933650000000001
current data 0.001370881
word list 0.00136001
functional word 0.001359965
word segmentations 0.001326567
data size 0.001304019
example data 0.001298108
data amount 0.001279154
data difference 0.001274538
frequent data 0.001271086
ttammg data 0.0012486049999999999
lexical information 0.0012000589999999998
head words 0.001162944
feature accuracy 0.001159424
feature type 0.001105638
frequent words 0.001096653
other type 0.001082765
feature set 0.001054133
learning feature 0.001047357
distance dependency 0.001030484
dependency analysis 0.001025742
japanese dependency 0.0010243000000000001
probability set 0.0010182820000000001
other tile 0.001005289
new dependency 0.0010033820000000001
dependency parser 9.89445E-4
feature types 9.85048E-4
probability estimation 9.8237E-4
ing accuracy 9.795939999999999E-4
modification probability 9.65949E-4
linguistic feature 9.63984E-4
tree algorithm 9.54169E-4
ion parsing 9.4992E-4
particular lexical 9.363889999999999E-4
lexical constraints 9.33115E-4
lexical sources 9.25019E-4
tree case 9.17558E-4
type cents 9.162510000000001E-4
other thesaurus 9.1446E-4
final probability 9.12454E-4
syntactic structure 9.10309E-4
tree method 9.06646E-4
ion trees 9.01354E-4
other languages 8.98095E-4
feature selection 8.97495E-4
each feature 8.94276E-4
feature setting 8.93008E-4
stochastic dependency 8.92248E-4
tree models 8.9183E-4
concrete feature 8.89119E-4
tile system 8.86305E-4
structure analysis 8.84573E-4
model 8.82641E-4
words 8.80857E-4
other modifications 8.78659E-4
accuracy table 8.75643E-4
decrease feature 8.71532E-4
lexical dependencies 8.70954E-4
dependency parsers 8.69579E-4
lexical attributes 8.69316E-4
single tree 8.62394E-4
lus ion 8.57063E-4
training sentences 8.46755E-4
other hand 8.45258E-4
rmat ion 8.423570000000001E-4
other bunsetu 8.36454E-4
parsing accuracy 8.30251E-4
japanese pos 8.23506E-4
parser performance 8.231099999999999E-4
probability pot 8.220510000000001E-4
probability pdt 8.220510000000001E-4
format ion 8.217970000000001E-4
same number 8.19113E-4
ing sentences 8.1567E-4
modification relation 8.14342E-4
decis ion 8.10994E-4
maximum accuracy 8.08576E-4
tree parser 8.02968E-4
japanese language 7.92305E-4
first sentences 7.830879999999999E-4
same features 7.78482E-4
first step 7.73051E-4
similar method 7.72315E-4
decision tree 7.66422E-4
parameter estimation 7.59839E-4
new statistical 7.55847E-4
overall performance 7.53744E-4
first bunsetsu 7.47218E-4
tree experiments 7.433590000000001E-4
bunsetsu pairs 7.43213E-4
statistical parser 7.4191E-4
input sentences 7.41742E-4
