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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. be 's
are
be
been
being
is
was
were 		Verb 392 -38.07 15.68 742.93 0.9 86 514,999 105.55
2. do did
do
does
doing 		Verb 22 -27.04 6.16 112.98 0.74 16 7,834,303 6.94
3. have had
has
have 		Verb 94 -26.92 11.19 213.96 0.89 56 1,820,411 29.86
4. say said
say
saying
says 		Verb 9 -26.45 3.04 73.16 0.68 9 10,394,673 5.23
5. go go
goes
going
went 		Verb 8 -19.48 3.02 49.01 0.61 7 15,790,891 3.44
6. would would Verb 16 -16.38 5.65 53.96 0.75 15 6,118,543 8.88
7. take take
taken
takes
took 		Verb 7 -15.65 2.82 35.94 0.63 7 15,473,517 3.51
8. see saw
see
sees 		Verb 8 -15.42 3.31 37.42 0.61 7 13,060,683 4.16
9. come came
come 		Verb 6 -14.02 2.42 29.6 0.6 6 15,779,394 3.44
10. will will Verb 17 -13.43 6.08 43.3 0.68 13 7,362,645 7.38
11. can ca
can 		Verb 20 -11.87 6.77 39.4 0.74 16 5,026,757 10.81
12. use use
used
using 		Verb 6 -11.33 2.68 23.06 0.53 5 19,875,781 2.73
13. could could Verb 11 -10.15 4.9 25.71 0.71 11 9,520,258 5.71
14. should should Verb 6 -9.98 2.83 19.8 0.48 4 23,270,117 2.34
15. give gave
give
given
giving 		Verb 10 -7.88 4.84 17.96 0.58 7 12,270,450 4.43
16. must must Verb 5 -6.49 2.68 10.85 0.4 3 26,686,056 2.04
17. find find
finding
found 		Verb 9 -5.91 4.77 11.84 0.68 9 9,614,163 5.65
18. may may Verb 15 -4.25 6.75 8.68 0.71 13 6,910,798 7.87
19. might might Verb 8 -3 4.96 4.39 0.61 7 14,990,348 3.63
20. show show
showed
shown
shows 		Verb 9 -2.45 5.48 3.32 0.68 9 7,281,634 7.47
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