word form 0.003360307
morphological features 0.00325979
word inflection 0.003240989
word lemma 0.003185505
target word 0.003113262
word forms 0.003082286
previous word 0.003057655
word order 0.003039356
unseen word 0.002997431
inflected word 0.002990989
final word 0.00298695
word changes 0.002980984
word length 0.00295776
dative word 0.002950719
unknown word 0.0029455469999999997
whole word 0.002926083
word nns 0.002923195
flected word 0.002916883
morphological inflection 0.002322339
morphological rules 0.002264529
morphological dictionary 0.002142187
morphological generation 0.002112172
morphological surface 0.002100397
syntactic features 0.002097256
morphological ambiguity 0.002064944
morphological changes 0.002062334
new features 0.002057736
morphological categories 0.002034466
morphological phenomena 0.002033778
our morphological 0.002027372
morphological properties 0.0020206819999999998
morphological realization 0.002003781
morphological realizers 0.001999501
morphological generator 0.001996976
morphological richness 0.001995222
additional features 0.001933759
adjacent words 0.001911454
known words 0.001908426
nns words 0.001903095
iliary words 0.001895194
different language 0.0018933510000000001
important features 0.0018796589999999999
suffix features 0.00181066
cal features 0.001788619
morphological 0.0017724
different training 0.001772265
language data 0.001770545
ical features 0.0017496279999999998
features best 0.001726056
fix features 0.001713917
words 0.00167095
training data 0.001649459
different languages 0.0016114800000000002
data set 0.001576602
training set 0.001501053
second model 0.001498184
features 0.00148739
feature concatenation 0.001476691
case system 0.0014713489999999998
strong feature 0.001468459
feature pruning 0.0014626259999999999
postype feature 0.0014626259999999999
different edit 0.001444797
single model 0.001439697
same data 0.001392875
separate model 0.0013867390000000001
training corpus 0.001384934
model congruency 0.001372449
english data 0.001359584
czech data 0.001311806
generation system 0.0013110560000000001
test set 0.0012978080000000001
other languages 0.0012965210000000001
tion system 0.001291798
data sets 0.001267004
language generation 0.001247813
different scripts 0.001247672
feature 0.00123931
different dis 0.001232681
evaluation set 0.001229349
nlg system 0.001226769
our system 0.001226256
different trend 0.00120994
task data 0.001197569
statistical models 0.001174673
data unseen 0.0011688850000000001
machine translation 0.0011517670000000002
model 0.00114776
original data 0.001144026
unnatural language 0.001134708
development data 0.001133329
ral language 0.001130697
annotated data 0.001101707
syntactic context 0.0010991199999999999
evaluation test 0.0010989609999999999
data sizes 0.001098396
same inflection 0.0010803100000000001
correct form 0.001079007
classification models 0.001063785
form accuracy 0.0010329290000000001
