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formal model 0.002205902
sequence model 0.002166699
probabilistic model 0.002165401
markov model 0.00210714
statistical model 0.002101918
context model 0.002089449
entire model 0.0020851719999999997
model con 0.002016257
channel model 0.002008482
hybrid model 0.0019893149999999997
content model 0.001983869
conceptual model 0.001982288
abilistic model 0.001979215
model snapshot 0.001978769
model unionsqjmij 0.001975005
model 0.00177207
formal language 0.0015897020000000001
lsc language 0.001578696
language semantics 0.001568408
language processing 0.001472686
programming language 0.0014709200000000001
semantic lsc 0.0014376760000000001
natural language 0.001432409
language fragment 0.001400115
visual language 0.001389817
language utterances 0.001371359
language evidence 0.001364084
abilistic language 0.001363015
semantic rules 0.0013592040000000001
controlled language 0.001357132
ural language 0.001357132
semantic parsing 0.0013498330000000002
semantic representation 0.0013283960000000001
semantic interpretation 0.0012949460000000002
semantic structures 0.0012794640000000001
semantic repre 0.001261991
training set 0.001259673
semantic analysis 0.0012581320000000001
semantic theories 0.0012560980000000002
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semantic ambiguity 0.001233375
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semantic constructs 0.001225991
training training 0.001201466
different time 0.001166549
language 0.00115587
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probability distribution 0.001102526
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syntactic parse 0.001095209
system models 0.0010923769999999998
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training data 0.001077891
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syntactic trees 0.001052783
formal system 0.001036382
direct translation 0.001026949
semantic 0.00101485
different requirements 0.001008355
complex syntactic 9.980850000000001E-4
machine translation 9.89505E-4
entire set 9.72042E-4
syntactic analysis 9.63392E-4
different syn 9.54709E-4
syntactic analyses 9.44095E-4
system requirements 9.34434E-4
syntactic distri 9.34419E-4
previous system 9.33212E-4
transition probabilities 9.24904E-4
different gap 9.242289999999999E-4
formal models 9.23659E-4
different sms 9.04459E-4
translation mechanism 9.02033E-4
different snapshots 9.00457E-4
unambiguous translation 8.97056E-4
different assumptions 8.96137E-4
seed set 8.86002E-4
complete system 8.81775E-4
different principles 8.79885E-4
different pieces 8.79885E-4
different men 8.79885E-4
sentence length 8.78378E-4
synthetic set 8.77183E-4
train set 8.76948E-4
overall system 8.76149E-4
possible values 8.76027E-4
supervised training 8.753960000000001E-4
development set 8.74271E-4
new information 8.73433E-4
tuple set 8.6262E-4
conditional probability 8.58899E-4
state transitions 8.5837E-4
possible sentences 8.54776E-4
probability distributions 8.48494E-4
interpretation function 8.37612E-4
function syn 8.35754E-4
probable system 8.352349999999999E-4
