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different mwe 0.002390713
mwe probability 0.002227663
form mwe 0.002186405
pmi mwe 0.002166854
node mwe 0.0021041140000000002
mwe identification 0.0020986060000000003
mwe constituents 0.002059535
mwe bit 0.002050376
prior mwe 0.0020385250000000002
candidate mwe 0.002023691
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mwe htxtn 0.002013131
mwe hapaxdash 0.001996183
portuguese mwe 0.001981923
general features 0.001658695
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training corpus 0.001620024
additional features 0.0015345439999999999
motivated features 0.001451183
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putable features 0.001443818
english corpus 0.001402599
large corpus 0.0013985550000000001
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likely mwes 0.001355931
hebrew mwes 0.001350754
binary feature 0.001330437
newspaper corpus 0.001308652
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potential mwes 0.0012812960000000001
diversity mwes 0.0012608860000000001
training data 0.001247675
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features 0.00123308
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feature weights 0.001229236
single word 0.001226454
bilingual corpus 0.001215869
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word order 0.001206316
parallel corpus 0.0011961460000000001
feature interdependencies 0.001195681
statistical classification 0.0011947899999999998
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dependency parsing 0.001085209
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classification task 0.0010393569999999999
classification method 0.0010308169999999998
classification accuracy 0.001011173
different languages 9.98742E-4
lexical fixedness 9.89752E-4
feature 9.84384E-4
corpus 9.79821E-4
training sets 9.67409E-4
lexical items 9.657040000000001E-4
other constituents 9.591510000000001E-4
work model 9.575230000000001E-4
different types 9.57278E-4
semantic resources 9.53989E-4
small training 9.42534E-4
such histograms 9.41269E-4
classification methods 9.35627E-4
such construc 9.296809999999999E-4
linguistic properties 9.20252E-4
semantic similarity 9.159540000000001E-4
other nodes 9.11737E-4
pos tags 9.100369999999999E-4
different collocation 9.089809999999999E-4
other classes 9.02632E-4
such constraints 8.93111E-4
other sources 8.90526E-4
language resources 8.87754E-4
pos tagging 8.87466E-4
