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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 250 -73.6 13.43 1,435.23 0.85 64 1,145,577 47.45
2. can can Verb 10 -25.35 3.47 72.85 0.64 8 15,686,831 3.47
3. do did
do
does
doing
done 		Verb 37 -24.1 8.11 122.4 0.78 24 3,514,056 15.47
4. have 'd
had
has
have 		Verb 156 -22.58 13.08 202.47 0.84 49 1,654,418 32.86
5. get get
got 		Verb 9 -21.44 3.31 57.42 0.61 7 17,868,099 3.04
6. would would Verb 17 -20.28 5.61 71.18 0.73 14 6,180,169 8.8
7. go go
GOES
going
gone
went 		Verb 17 -14.75 5.98 48.45 0.72 14 7,780,231 6.99
8. could could Verb 10 -14.26 4.18 37.42 0.64 8 17,175,807 3.16
9. make made
make
makes
making 		Verb 17 -13.37 6.09 42.88 0.72 14 6,489,766 8.38
10. look Look
looked
looking 		Verb 6 -12.86 2.53 26.7 0.6 6 13,699,380 3.97
11. may may Verb 7 -12.02 3.14 26.31 0.63 7 11,603,722 4.68
12. come came
come
comes
coming 		Verb 12 -10.91 5.12 29.03 0.68 10 11,037,809 4.92
13. use use
used
using 		Verb 9 -10.88 4.13 25.86 0.64 8 15,930,685 3.41
14. will will Verb 31 -10.47 8.38 38.9 0.77 21 6,513,449 8.35
15. take take
taken
takes
taking
took 		Verb 17 -10.36 6.36 31.02 0.76 16 5,447,855 9.98
16. see saw
see
seeing
seen
sees 		Verb 25 -7.73 7.94 23.85 0.6 12 6,297,088 8.63
17. give gave
give
given
gives
giving 		Verb 16 -6.77 6.57 17.19 0.69 12 7,729,468 7.03
18. feel feel
felt 		Verb 5 -6.64 2.65 11.17 0.48 4 29,382,406 1.85
19. find find
finds
found 		Verb 12 -6.05 5.71 13.44 0.62 8 13,875,329 3.92
20. mean mean
means
meant 		Verb 7 -5.77 3.95 10.53 0.63 7 21,505,286 2.53
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