translation lexicon 0.00377274
translation pairs 0.003459895
model translation 0.003413016
translation model 0.003413016
training translation 0.003183731
translation pair 0.00309805
translation models 0.003045718
machine translation 0.003024999
translation lexicons 0.0030236860000000003
main translation 0.003011363
correct translation 0.002968717
second translation 0.002940475
dict translation 0.002935899
weighted translation 0.002915843
tmtl translation 0.0028863730000000002
true translation 0.00288434
third translation 0.002866911
component translation 0.00285943
translation lex 0.002853469
union translation 0.002851476
translation recog 0.002851476
str translation 0.002851476
translation 0.00263013
word pairs 0.002202845
word frequency 0.001784773
different pairs 0.001699275
same language 0.0016677340000000001
different corpus 0.001663019
unique word 0.001653306
word types 0.001629445
english words 0.001626139
function words 0.0016015790000000001
same pairs 0.001559402
same corpus 0.001523146
parallel corpus 0.00148968
other language 0.00147445
tion lexicon 0.001463795
french words 0.001428016
identity lexicon 0.001424296
lation lexicon 0.0014087700000000002
language pair 0.001406017
rare words 0.001397613
such pairs 0.001359846
training corpus 0.0013471099999999999
bilingual dictionary 0.001337566
natural language 0.001336858
possible pairs 0.001299541
test corpus 0.00128807
multilingual corpus 0.001281559
language process 0.001265775
language identification 0.001254511
same set 0.001248416
same test 0.0012241980000000001
sentence pairs 0.001220713
candidate pairs 0.001212868
text pairs 0.001206747
pairs maximum 0.001195475
same problem 0.001183216
same number 0.00116887
correct pairs 0.001168352
language processing 0.001165756
human evaluation 0.001153374
tion pairs 0.00115095
parallel corpora 0.001150072
same time 0.001149976
lexicon 0.00114261
different sources 0.0011339219999999999
document pairs 0.001132726
ing corpus 0.001130076
precision parallel 0.001129793
different levels 0.0011231919999999999
comparable corpus 0.00111337
core dictionary 0.00110342
multilingual information 0.001095222
true pairs 0.001083975
segment pairs 0.001082964
development pairs 0.001075683
words 0.00107442
parallel text 0.0010731529999999999
noisy corpus 0.001066069
mutual translations 0.001065668
evaluation task 0.0010635549999999999
same weight 0.001061499
cognate pairs 0.001060758
date pairs 0.001052799
lation model 0.001049046
parallel texts 0.001048704
similarity score 0.00104291
test data 0.00103285
probabilistic model 0.00103054
model con 0.001026943
chinese corpus 0.001025273
regression model 0.001021804
unigram model 0.00101655
enlarged corpus 0.001015454
large corpora 0.001013475
test set 0.0010133400000000002
same prob 0.0010032819999999999
true translations 9.7188E-4
high similarity 9.688300000000001E-4
