target word 0.004669767
word context 0.004611903
source word 0.004517917
word pairs 0.004480362
word pair 0.004395352
word list 0.004392979
candidate word 0.004353335
correct word 0.00432209
man word 0.004299535
dialect word 0.004295516
cognate word 0.004295511
single word 0.004260192
word forms 0.004233967
erroneous word 0.004197987
alect word 0.004191059
word identification 0.004189533
language words 0.00277706
target words 0.002242417
german words 0.002227641
translation lexicon 0.002120759
source words 0.0020905669999999998
such words 0.002033513
test words 0.0020141259999999998
target language 0.001983377
different language 0.0019472170000000002
candidate words 0.0019259849999999998
language context 0.0019255130000000002
distance model 0.001884874
training data 0.0018832010000000001
similar words 0.001876674
dialect words 0.0018681659999999999
corresponding words 0.0018528149999999998
single words 0.0018328419999999999
words share 0.001797556
language pairs 0.001793972
training corpus 0.001776878
tical words 0.001771134
alect words 0.001763709
identical words 0.001762228
same models 0.001760179
language pair 0.001708962
training lexicon 0.0016814220000000001
different models 0.001656159
translation lexicons 0.001648152
other models 0.0016376070000000001
resource language 0.001630988
translation strings 0.001625587
model this 0.001612465
levenshtein model 0.0016044639999999999
last model 0.0015956640000000001
similarity models 0.001590134
distance models 0.001584126
related language 0.0015816860000000001
particular language 0.001578231
markov model 0.001555544
adaptive model 0.001545167
language processing 0.00153797
foreign language 0.00152321
words 0.00151805
natural language 0.001508079
bridge language 0.001507934
cific language 0.001506539
lated language 0.001505583
language varieties 0.00150461
language fam 0.001503219
nate language 0.001503219
target lexicon 0.0014857759999999999
such data 0.001478651
german lexicon 0.001471
bilingual corpus 0.0014359339999999998
large corpus 0.001423633
monolingual corpus 0.001413663
training step 0.0014090040000000002
different measures 0.001395256
data constraints 0.001369535
translation 0.00135935
test corpus 0.0013529409999999999
bilingual lexicon 0.001340478
learning models 0.001338496
similarity measures 0.001329231
distance measures 0.001323223
cognate models 0.001318063
different similarity 0.001310389
semantic similarity 0.0013062640000000001
all models 0.001270069
model 0.0012687
annotated data 0.001267286
different source 0.001260724
language 0.00125901
ity models 0.001251393
adaptive models 0.001244419
development data 0.001240355
available data 0.0012342920000000001
possible target 0.001215795
models withmann 0.001212696
iterative training 0.001212576
data restrictions 0.00120798
written data 0.00120798
data requirements 0.00120798
training stage 0.001205387
