word translation 0.0049207899999999995
word sense 0.00446724
sense translation 0.004115489999999999
word frame 0.00373413
english word 0.00365294
bilingual word 0.003488691
word translations 0.003369939
previous word 0.003146525
word senses 0.00314323
target word 0.003102102
many word 0.003092215
source word 0.003081722
word number 0.003029827
example word 0.002981417
word pair 0.002966463
single word 0.002921743
lingual word 0.002919337
individual word 0.002913484
average word 0.002908458
translation results 0.002903017
predicate word 0.002898325
head word 0.002879754
robust word 0.002876044
translation probability 0.002864946
translation process 0.002764055
translation disambiguation 0.002713718
translation precision 0.00270517
translation methods 0.002693681
machine translation 0.0026882959999999997
translation system 0.002676487
automatic translation 0.002670547
translation task 0.0026221869999999998
translation accuracy 0.00259852
sense translations 0.002564639
multiple translation 0.002551262
translation systems 0.002548563
translation tasks 0.002546067
translation candidates 0.0025395039999999997
translation dis 0.002528733
translation accuracies 0.002524162
rect translation 0.0025221519999999997
translation ambiguities 0.002521812
translation likelihoods 0.002521289
translation accu 0.002521289
translation strategies 0.002521289
translation corre 0.002521289
same sense 0.002393268
sense dictionary 0.002316749
translation 0.00228452
chinese frame 0.00226641
sense transla 0.0022027509999999998
sense pair 0.002161163
semantic frame 0.00215155
sense entry 0.002125769
sense trans 0.002124915
chinese words 0.002124156
english frame 0.00211453
sense diction 0.00206795
english words 0.001972276
bilingual frame 0.0019502809999999999
chinese translations 0.0019022190000000001
framenet frame 0.0018551190000000001
sense 0.00183097
english framenet 0.001773929
other words 0.0017122320000000002
training data 0.001656678
other language 0.0016541939999999999
semantic resources 0.001639762
different words 0.0015872730000000002
chinese frames 0.0015572379999999999
frame mapping 0.001533547
chinese hownet 0.001495405
semantic mapping 0.0014893769999999998
language pairs 0.001485222
chinese category 0.001484562
chinese ontology 0.0014778159999999999
frame semantics 0.001465393
english mapping 0.0014523569999999998
semantic system 0.001445657
semantic frames 0.0014423779999999998
chinese categories 0.001431713
frame accuracy 0.00141186
chinese lexeme 0.001407026
chinese catego 0.0014058859999999999
chinese cate 0.0014058859999999999
english frames 0.0014053579999999998
frame size 0.001391998
single frame 0.001383333
lingual frame 0.0013809270000000001
english verbs 0.0013803939999999998
semantic structure 0.0013801669999999999
frame seman 0.001377039
frame map 0.001364572
tic frame 0.001357713
frame mappings 0.001350463
parent frame 0.001349209
semantic network 0.001344845
bilingual dictionary 0.0013382
frame ele 0.001335062
frame identification 0.001335062
