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language word 0.004025717
word sense 0.003772606
word vector 0.003683156
context words 0.0036542499999999995
word frequency 0.0036303029999999997
word selection 0.003571086
target word 0.0035561589999999997
word position 0.003442738
word window 0.0034095619999999997
language words 0.003059157
language context 0.0024945469999999997
irrelevant words 0.002424039
content words 0.002386946
index words 0.002374761
english translation 0.002368963
words 0.00210943
local context 0.0020045239999999997
translation candidate 0.001970721
candidate translation 0.001970721
linguistic context 0.0019404549999999998
machine translation 0.001915932
english language 0.00183782
discourse context 0.0018235719999999999
forward context 0.001809639
translation candidates 0.001766708
original translation 0.001760762
potential translation 0.001754175
preferred translation 0.001747148
semantic space 0.001736712
semantic distance 0.0016372679999999999
frequency method 0.0015725230000000001
same method 0.001554306
distance method 0.0015477680000000001
context 0.00154482
selection method 0.001513306
translation 0.00148087
target language 0.001429896
bilingual lexicon 0.001429205
test corpus 0.0014166449999999998
semantic relatedness 0.001384913
vector similarity 0.001380505
semantic properties 0.00137831
semantic riteria 0.001372255
source language 0.001367008
corpus frequency 0.001318019
parallel corpus 0.001317642
large corpus 0.0013039969999999999
centroid method 0.001295357
language movie 0.001258227
arget language 0.001220156
different target 0.001212142
english arrest 0.0011984539999999998
little information 0.001167009
english half 0.00116573
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english firm 0.001154369
ficient information 0.001138352
potential translations 0.001111184
national corpus 0.001108778
semantic 0.00110771
bilingual dictionary 0.001106393
similarity metric 0.001095098
standard vector 0.001085188
statistical approach 0.0010836399999999999
distance measure 0.00108003
tional similarity 0.001042583
selection problem 0.001020612
method 0.00101821
different arget 0.001002402
testing lexicon 0.0010017490000000001
lexical selection 9.86457E-4
bilingual dictionaries 9.85543E-4
sense disambi 9.62094E-4
bilingual exicon 9.58026E-4
cost value 9.54358E-4
language 9.49727E-4
the test 9.27797E-4
frequency threshold 9.060469999999999E-4
common ouns 9.000599999999999E-4
english 8.88093E-4
centroid vector 8.843130000000001E-4
low frequency 8.83053E-4
vector component 8.76476E-4
information 8.7234E-4
significant problem 8.66152E-4
other items 8.634840000000001E-4
random selection 8.49046E-4
future work 8.45616E-4
translations 8.37879E-4
proximity measure 8.17847E-4
large amount 8.163830000000001E-4
appropriate target 8.07258E-4
first repres 8.06635E-4
caption text 8.052339999999999E-4
current distance 8.04925E-4
following constraints 8.037229999999999E-4
several features 7.879619999999999E-4
alternative selection 7.87297E-4
encouraging results 7.772839999999999E-4
