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language variety 0.00318659
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multiple languages 0.001637871
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universal sign 0.001071157
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different nature 9.99235E-4
different mod 9.97673E-4
different signers 9.97673E-4
classifier learning 9.95503E-4
motivated features 9.891119999999999E-4
model 9.73278E-4
learning tech 9.62491E-4
machine translation 9.59852E-4
deep learning 9.5911E-4
classification con 9.35473E-4
labeled training 9.352000000000001E-4
new fea 9.08213E-4
sign forms 8.90173E-4
video length 8.879280000000001E-4
visual sign 8.86216E-4
average accuracy 8.8524E-4
classification accuracies 8.76922E-4
training videos 8.750590000000001E-4
our method 8.75013E-4
method our 8.75013E-4
classification strategy 8.57734E-4
future work 8.52717E-4
known sign 8.46861E-4
unknown sign 8.45362E-4
british sign 8.43717E-4
linguistic structure 8.25319E-4
specific environment 7.98602E-4
specific articulations 7.81386E-4
features 7.47641E-4
accent identification 7.45922E-4
same concept 7.452019999999999E-4
learning 7.40976E-4
mapping functions 7.24316E-4
input video 7.20835E-4
confusion matrix 7.19509E-4
raw video 7.164750000000001E-4
variety identification 7.01764E-4
standard deviation 7.01763E-4
short video 6.85927E-4
many similarities 6.84428E-4
information retrieval 6.84236E-4
many pattern 6.84004E-4
following steps 6.80171E-4
markov models 6.739890000000001E-4
ing problems 6.63505E-4
reconstruction error 6.59855E-4
important tasks 6.570549999999999E-4
