word translation 0.00671798
translation system 0.00563925
machine translation 0.004662488
translation approach 0.004639549
correct translation 0.004442913000000001
translation resources 0.0043030640000000005
translation process 0.0042979360000000005
punjabi translation 0.004294049
hybrid translation 0.004287287
translation engine 0.004261236
equivalent translation 0.004243526
translation 0.00396244
same word 0.003402189
ambiguous word 0.003252884
context word 0.003238947
previous word 0.003151824
hindi word 0.003083232
word order 0.0030657899999999997
direct word 0.003055516
root word 0.0030449229999999997
free word 0.003038288
word segmenters 0.003031847
word िवशाल 0.003031847
language sentence 0.002305548
such words 0.002193929
system evaluation 0.002131001
source language 0.002121082
system accuracy 0.002083469
target language 0.002017622
words database 0.0020104140000000003
system daily 0.001991515
ambiguous words 0.0019633840000000003
system architecture 0.001955091
system failure 0.001952683
developed system 0.001952683
language text 0.001949184
previous words 0.001862324
total words 0.001853726
next words 0.001852394
language pair 0.001828416
language processing 0.001805633
punjabi words 0.0017976490000000001
language pairs 0.001792055
official language 0.001774427
individual words 0.0017737690000000001
unseen words 0.001771308
root words 0.001755423
words bigrams 0.0017522470000000002
vocabulary words 0.00174893
unkown words 0.0017421860000000002
consecutive words 0.0017421860000000002
language quotes 0.0017413560000000001
related language 0.0017385340000000001
natural language 0.001737678
inflectional language 0.001736036
system 0.00167681
source sentence 0.0015431899999999998
machine translations 0.001523967
translations systems 0.0014796940000000001
test data 0.001474338
words 0.00146604
language 0.00144172
parallel corpus 0.001428326
output sentence 0.001394386
bleu score 0.001361206
different types 0.001344506
hindi corpus 0.0013330220000000001
different sources 0.001299911
input data 0.001281134
sentence set 0.0012789239999999999
proper noun 0.001252266
different professions 0.0012435670000000001
different dialects 0.001239571
proper names 0.001236459
hindi sentence 0.00119152
source text 0.001186826
noun database 0.001178123
sentence काश 0.001163838
sentence length 0.001154144
individual translations 0.001131648
accuracy test 0.001109178
proper name 0.001101276
test document 0.001100099
noun recognition 0.001090724
input sentences 0.0010661
based approach 0.001065824
such variations 0.001053797
syntactic analysis 0.001039721
correct sentences 0.0010372579999999999
such entries 0.0010359850000000001
punjabi machine 0.001031657
hybrid machine 0.001024895
input text 0.001016779
such bigrams 0.001014096
proper nouns 0.001011572
corpus 0.00100533
hybrid approach 0.001001956
appropriate approach 0.001001216
intelligibility test 9.83434E-4
test bed 9.79363E-4
