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HASK | COLLOCATION DATABASES
Citation Please cite this paper in publications using HASK for the BNC: Pezik, Piotr. Graph-Based Analysis of Collocational Profiles. In Phraseologie Im Wörterbuch Und Korpus (Phraseology in Dictionaries and Corpora), edited by Vida Jesenšek and Peter Grzybek, 227–43. ZORA 97. Maribor, Bielsko‑Biała, Budapest, Kansas, Praha: Filozofska fakuteta, 2014.
150,045entries containing2,875,407combinations...
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. have had
has
have
having 		Verb 50 -17.25 9.51 96.47 0.8 29 2,898,152 18.76
2. be 'm
's
are
be
been
being
is
was
were 		Verb 295 -15.14 15.5 182.56 0.84 69 986,383 55.11
3. do did
do
does
doing
done 		Verb 22 -10.68 7.21 36.39 0.75 16 7,435,687 7.31
4. get get
getting
got 		Verb 5 -10.64 2.12 20 0.34 3 43,543,409 1.25
5. would would Verb 9 -10.17 4.21 24.12 0.64 8 11,376,396 4.78
6. see see Verb 5 -8.95 2.32 16.25 0.56 5 15,432,326 3.52
7. say said
say
saying 		Verb 12 -8.89 5.34 22.76 0.7 11 11,678,041 4.65
8. could could Verb 5 -7.44 2.53 12.96 0.56 5 20,148,612 2.7
9. make made
make
making 		Verb 12 -4.71 5.93 9.57 0.64 9 8,155,121 6.67
10. find find
found 		Verb 5 -3.55 3.27 4.91 0.34 3 26,173,443 2.08
11. can can Verb 22 -2.86 8.23 5.19 0.76 17 6,377,916 8.52
12. should should Verb 9 -1.92 5.63 2.26 0.68 9 10,264,283 5.3
13. mean mean
means 		Verb 5 -1.67 3.84 1.61 0.56 5 16,376,424 3.32
14. need need
needs 		Verb 6 -1.1 4.64 0.84 0.6 6 14,810,070 3.67
15. will will Verb 30 -0.93 9.59 0.75 0.63 13 6,894,355 7.88
16. follow FOLLOW
followed
following
follows 		Verb 6 -0.02 5.16 0 0.53 5 18,804,525 2.89
17. draw drawing
drawn
drew 		Verb 5 0.95 5.44 1.57 0.48 4 30,460,617 1.78
18. give gave
give
given
gives
giving 		Verb 23 1.27 9.49 2.22 0.75 17 5,137,128 10.58
19. develop developed
developing 		Verb 7 1.46 6.77 4.76 0.49 5 25,563,226 2.13
20. indicate indicated
indicating 		Verb 5 1.5 6.25 6.87 0.56 5 27,903,260 1.95
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