joint word 0.00354393
word segmentation 0.003305998
joint pos 0.0032479500000000003
pos tag 0.0031826800000000002
chinese word 0.003117866
pos tagging 0.003004815
chinese pos 0.002821886
word boundary 0.002770203
word form 0.002751102
last word 0.002745241
next word 0.002744684
top word 0.002739758
new word 0.002720595
word seg 0.002716528
joint model 0.0026561700000000002
word segmenta 0.002652893
word segmen 0.002648611
pos tags 0.0025999020000000003
tagging model 0.002413035
joint segmentation 0.002106808
parsing model 0.002086598
current model 0.0020514269999999998
baseline model 0.002042737
model performance 0.0019739049999999998
dictionary features 0.001898987
new model 0.0018328349999999999
original model 0.001818569
joint approach 0.001810989
ging model 0.001787316
joint decoding 0.001777981
structural features 0.0017685119999999999
joint models 0.0017282410000000002
segmentation accuracy 0.001683169
tag set 0.001637876
training data 0.0016236710000000001
feature vector 0.001607821
first character 0.0016067149999999999
function words 0.001595211
incremental joint 0.001593669
joint framework 0.001590274
feature set 0.001586026
joint task 0.001571583
character set 0.001566566
joint con 0.001525052
joint seg 0.001517338
features 0.00149838
ctb tag 0.001493199
model 0.0014838
effective feature 0.001452505
tag pairs 0.001450213
joint segmen 0.001449421
feature template 0.00133887
decoding method 0.001330428
segment words 0.001311148
distinct character 0.001310487
dependency parsing 0.0012993240000000001
tagging decisions 0.001260434
morphological segmentation 0.001251084
chinese tree 0.001250643
incomplete words 0.001240396
chinese language 0.0012390349999999999
other states 0.001239031
segmentation errors 0.001232223
oov words 0.001220648
segmentation accuracies 0.0012189240000000001
segmentation possibilities 0.001215672
segmentation ambiguities 0.001215642
foreign words 0.001214024
tagging accuracies 0.001213721
segmentation ambigu 0.001202956
syntactic dependency 0.001175194
joint 0.00117237
parsing models 0.001158669
beam search 0.001140942
chinese sentences 0.001126993
baseline models 0.0011148080000000001
chinese treebank 0.001113345
consecutive characters 0.001086053
other hand 0.001084687
first step 0.001071026
syntactic information 0.001067931
current position 0.0010650310000000001
different dictionaries 0.001063649
dependency parser 0.001060474
incremental approach 0.001059918
feature 0.00105525
dependency pars 0.001041674
dependency arcs 0.0010401120000000002
different lengths 0.001039845
step index 0.0010365869999999998
character 0.00103579
current systems 0.001034666
different characteris 0.00103309
efficient method 0.0010285210000000001
incremental parsing 0.0010240969999999999
parsing framework 0.001020702
beam step 0.0010148660000000001
search pruning 0.00100903
learning rate 0.001005368
parsing task 0.001002011
