machine translation 0.004754815999999999
translation time 0.004664547999999999
text translation 0.0046429819999999995
translation quality 0.004639185
ing translation 0.004601782
translation difficulty 0.004563485999999999
translation systems 0.0045529739999999996
simple translation 0.0045242419999999995
translation processing 0.004509213
total translation 0.004454471999999999
translation sessions 0.004450012999999999
translation sce 0.004436478999999999
translation exper 0.004427917
translation crowd 0.004427917
translation diffi 0.004427917
translation dif 0.004427917
translation 0.00416191
source sentence 0.002738511
example sentence 0.0024465109999999997
target sentence 0.00243012
sentence processing 0.0023234529999999996
sentence length 0.0023216029999999998
sentence complexity 0.0023023289999999997
sentence selection 0.002250948
put sentence 0.002245536
inherent sentence 0.002241571
sentence 0.00197615
second language 0.001573068
word mapping 0.001533558
target language 0.00148956
new sentences 0.001426847
language pairs 0.0014243840000000001
set sentences 0.00140183
language properties 0.001400962
example sentences 0.001396755
adequate translations 0.001385913
target sentences 0.001380364
ter sentences 0.001335057
ond language 0.001333276
ent language 0.0013093
language learners 0.001305925
standard data 0.001295987
connected words 0.001293341
our system 0.001273607
tdi score 0.001266264
source text 0.001243433
test data 0.001239354
rate sentences 0.00123847
sample sentences 0.001237496
unseen sentences 0.001229688
difficult sentences 0.001201569
sentences viz 0.001192416
unknown sentences 0.001192416
dependency structure 0.00119145
translations 0.00111722
dependency graph 0.0011151239999999999
maximum score 0.001111145
other factors 0.00109134
dependency links 0.0010430090000000001
language 0.00103559
words 0.00102513
other kernels 0.0010207670000000001
different categories 0.0010164689999999999
different kernel 0.001014157
specific machine 0.001005551
different languages 0.001002205
machine trans 0.0010003170000000001
different class 9.92009E-4
future work 9.89883E-4
error analysis 9.69947E-4
tdi scores 9.64674E-4
linguistic features 9.59599E-4
different setting 9.50375E-4
system 9.36167E-4
target text 9.35042E-4
different kernels 9.3074E-4
sentences 9.26394E-4
different payment 9.2181E-4
support vector 9.15501E-4
training dataset 9.11731E-4
several areas 9.0946E-4
readability test 9.01713E-4
direct input 8.946269999999999E-4
tion difficulty 8.90734E-4
kernel methods 8.758080000000001E-4
square error 8.75352E-4
error estimate 8.725919999999999E-4
tdip error 8.70096E-4
first approximation 8.66248E-4
vector regression 8.61525E-4
tdi pairs 8.603599999999999E-4
error percent 8.51362E-4
processing time 8.49941E-4
test dataset 8.44986E-4
ing difficulty 8.414480000000001E-4
such clusters 8.27523E-4
lation task 8.23484E-4
specific terms 8.177799999999999E-4
second round 8.120079999999999E-4
tdi our 8.090059999999999E-4
