new language 0.002574471
same language 0.002565385
training language 0.002556246
large language 0.0025330549999999998
language accuracy 0.002528302
test language 0.002507375
language performance 0.002505221
language system 0.0024832789999999997
language family 0.002462251
model accuracy 0.002403712
human language 0.002329013
model approach 0.002318025
common language 0.002316569
language decipherment 0.002264748
target language 0.002247453
known language 0.0022439969999999997
language level 0.002227755
unknown language 0.0022258729999999997
language structures 0.0022252369999999997
grapheme language 0.002220742
such features 0.002218726
language families 0.002218121
language precision 0.002213517
entire language 0.002211058
language labels 0.002209037
language harkens 0.0021994799999999998
language scenarios 0.002192439
language ancestry 0.002189875
new feature 0.002189361
predictive model 0.002156936
full model 0.002140412
context features 0.0021310599999999997
statistical model 0.002127677
context feature 0.00211433
graphical model 0.002106783
family features 0.0020938709999999998
text features 0.002089534
family feature 0.0020771410000000002
phonemic features 0.002071026
feature space 0.0020568
feature values 0.0019858799999999998
language 0.00196818
input features 0.001964974
similar feature 0.001958209
feature counts 0.00194483
node features 0.001928572
binary features 0.001928041
feature vector 0.001924837
feature vectors 0.0019216580000000001
feature selection 0.001918235
raw features 0.001903294
articulatory features 0.00188168
feature split 0.0018696469999999999
count features 0.001869316
edge features 0.001865574
articulatory feature 0.00186495
feature economy 0.001858659
feature sets 0.0018584510000000001
new languages 0.001856491
conjunction features 0.0018479079999999999
perfect feature 0.001844725
model 0.00184359
training languages 0.0018382659999999999
continuous features 0.001838051
region features 0.0018244469999999999
ticulatory features 0.001821987
discretized feature 0.0018138849999999999
feature dimension 0.001812105
feature templates 0.001809879
feature abstraction 0.001805057
feature discretization 0.001805057
test languages 0.001789395
several languages 0.001764735
features 0.0015998
feature 0.00158307
ing languages 0.001570927
various languages 0.0015607949999999998
known languages 0.001526017
related languages 0.001523977
other words 0.001520172
unknown languages 0.001507893
european languages 0.001475245
african languages 0.001472531
training data 0.0014532540000000002
test data 0.001404383
languages 0.0012502
other phoneme 0.001193485
parallel data 0.001171367
data yields 0.001131609
accuracy accuracy 0.001120244
large set 0.001105528
data the 0.001104586
the data 0.001104586
multilingual analysis 0.001052199
phonetic analysis 0.001019238
unseen words 0.001015822
multilingual work 0.001006915
phonetic context 0.001005644
new task 0.001004779
phonemic context 0.001002486
