general corpus 0.002967818
small corpus 0.002913653
particular corpus 0.002905609
corpus size 0.0028503820000000003
corpus description 0.0028309
experimental corpus 0.002814642
corpus cosine 0.002798986
corpus design 0.002794088
whole corpus 0.0027785880000000002
computing corpus 0.002760741
corpus linguistics 0.002755397
minimum corpus 0.002741041
corpus representativeness 0.002729927
observation corpus 0.002729927
corpus 0.00248802
different domain 0.001760056
syntactic information 0.001649999
different corpora 0.001541765
different number 0.001522911
general language 0.001465755
word frequency 0.001393315
different features 0.0013906040000000001
correct information 0.0013825999999999999
same word 0.001382059
different contexts 0.001348196
lexicon information 0.001340123
language processing 0.001337234
particular word 0.0013282889999999999
natural language 0.001316053
different domains 0.00131271
specific domain 0.0013120060000000001
different languages 0.001306063
different subcorpus 0.001305653
language dictionaries 0.0013021159999999999
much information 0.0012957659999999998
sufficient information 0.0012863929999999998
different subcorpora 0.0012863190000000002
different uses 0.0012831540000000001
different areas 0.001281547
different parameters 0.001281127
whole language 0.001276525
different meaning 0.0012738060000000002
morphosyntactic information 0.0012245729999999999
word occurrence 0.001153625
particular domain 0.0011471250000000001
other domains 0.0011273289999999998
new domain 0.001083352
learning techniques 0.001039519
syntactic behavior 0.001002936
technical texts 9.97891E-4
syntactic contexts 9.868860000000002E-4
language 9.85957E-4
domain subcorpora 9.85335E-4
syntactic patterns 9.80832E-4
information 9.80789E-4
words 9.72137E-4
first part 9.683490000000001E-4
specific sampling 9.32502E-4
syntactic context 9.301770000000001E-4
machine learning 8.75507E-4
dependent texts 8.73649E-4
specialized texts 8.662990000000001E-4
following contexts 8.5386E-4
objective data 8.489159999999999E-4
texts representative 8.45638E-4
lexical idyosincracy 8.41723E-4
frequency measure 8.32566E-4
same position 8.1295E-4
large differences 8.092279999999999E-4
relative frequency 8.05052E-4
ideal case 7.96115E-4
linguistic differences 7.833180000000001E-4
ongoing research 7.796389999999999E-4
automatic acquisition 7.796260000000001E-4
same methodology 7.67843E-4
general subcorpus 7.549309999999999E-4
cosine distance 7.438049999999999E-4
predicative use 7.402719999999999E-4
few times 7.348669999999999E-4
particular knowledge 7.32321E-4
domain 7.29536E-4
future work 7.28417E-4
acquisition methods 7.25977E-4
standard deviation 7.22252E-4
statistical nlp 7.0772E-4
particular entries 7.06999E-4
behavior differences 6.997710000000001E-4
significant distances 6.9589E-4
predicative position 6.95434E-4
significant divergences 6.93756E-4
particular subcorpus 6.92722E-4
particular application 6.911770000000001E-4
real problem 6.90016E-4
good measure 6.756069999999999E-4
small quantities 6.74043E-4
particular adjectives 6.646390000000001E-4
particular subset 6.62547E-4
regular relation 6.55931E-4
nlp application 6.55862E-4
nlp applications 6.48026E-4
