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reference translation 0.00227553
ing translation 0.002273679
machine translation 0.002212985
domain translation 0.002209294
translation quality 0.0021211620000000002
translation systems 0.002100003
target translation 0.002097562
translation hypotheses 0.002095546
man translation 0.002088758
this translation 0.002085657
translation errors 0.002053971
alternative translation 0.00205378
manual translation 0.002052838
automated translation 0.002037417
translation hypothe 0.002030637
chine translation 0.002029191
predict translation 0.002025956
sisted translation 0.002024978
translation 0.00185293
training data 0.001761682
language learning 0.00173353
learning approach 0.001649125
structured learning 0.001635246
new learning 0.0016335780000000001
human learning 0.001589671
machine learning 0.001563765
online learning 0.001556018
system translations 0.001539636
learning rate 0.001472303
line learning 0.001457981
learning framework 0.0014445109999999999
novel learning 0.001422842
learning scenario 0.001418952
adaptive learning 0.001408438
learning algo 0.001403279
learning loop 0.001403261
learning capabilities 0.001375688
learning repeat 0.001375688
learning cycle 0.001375688
parser training 0.001281632
test data 0.001281606
reference translations 0.001278162
output translations 0.001274286
language model 0.001266735
model score 0.001223389
learning 0.00120371
discriminative training 0.001186485
parallel data 0.001184367
same translations 0.001183558
training examples 0.001180564
system prediction 0.001179299
smt training 0.0011762909999999999
german word 0.001174619
word erhebung 0.001150436
geoquery training 0.001149916
grammatical translations 0.001125914
tive training 0.001124934
query training 0.001111372
labeled training 0.001108842
negative training 0.001107916
system output 0.0011027979999999999
training exam 0.001087487
geoquery data 0.001082412
outperform translations 0.001059488
web data 0.00105667
executable translations 0.001045766
bad translations 0.001041932
labeled data 0.001041338
ence translations 0.001031052
predicted translations 0.001029621
crawl data 0.001028773
wards translations 0.0010279170000000002
erence translations 0.0010279170000000002
cutable translations 0.0010279170000000002
data split 0.001020529
current model 0.00101735
semantic parsing 0.001016585
multiple system 0.00101171
smt model 9.98613E-4
bleu score 9.91665E-4
perceptron algorithm 9.88124E-4
high model 9.83467E-4
cost function 9.592139999999999E-4
english reference 9.489660000000001E-4
semantic parser 9.47257E-4
smt system 9.45772E-4
system ranking 9.42883E-4
semantic parse 9.340609999999999E-4
model parameters 9.30469E-4
structured prediction 9.267609999999999E-4
guage model 9.25E-4
training 9.14593E-4
sparse features 9.1081E-4
system predictions 8.94088E-4
baseline system 8.88958E-4
system outputs 8.75063E-4
executable system 8.74278E-4
extrinsic loss 8.64543E-4
