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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 912 -33.8 18.58 807.96 0.93 99 215,231 252.56
2. do did
do
does
doing
Verb 63 -23.69 9.96 147.29 0.85 44 1,836,792 29.59
3. say said
say
saying
says
Verb 30 -21.73 7.5 97.63 0.8 25 3,303,748 16.45
4. have 'd
've
had
has
have
having
Verb 256 -21.43 14.77 218.92 0.9 82 572,512 94.95
5. know knew
know
Knowing
known
Verb 12 -20.74 4.37 62.5 0.64 9 8,928,782 6.09
6. go go
goes
going
went
Verb 21 -18.64 6.44 69.88 0.78 19 7,401,321 7.34
7. see see
seeing
seen
sees
Verb 15 -18.61 5.28 60.58 0.63 9 19,867,155 2.74
8. think think
thought
Verb 10 -18.21 3.89 49.68 0.61 8 25,370,850 2.14
9. would 'd
would
Verb 37 -16.53 8.52 75.31 0.8 27 3,052,744 17.81
10. look look
looked
looking
looks
Verb 9 -14.09 3.83 35.17 0.64 8 10,600,049 5.13
11. can ca
can
Verb 41 -12.85 9.13 56.13 0.78 23 4,729,168 11.49
12. 'll 'll Verb 5 -12.33 1.94 23.49 0.56 5 43,525,165 1.25
13. could could Verb 21 -11.86 6.94 39.73 0.78 19 4,295,454 12.66
14. will will
wo
Verb 44 -11.78 9.45 51.06 0.83 33 2,747,464 19.79
15. use use
used
using
Verb 14 -11.48 5.59 32.73 0.73 13 8,588,289 6.33
16. should should Verb 12 -11.36 5.07 30.44 0.7 11 7,880,451 6.9
17. take take
taken
takes
took
Verb 25 -11.33 7.58 39.9 0.77 21 5,084,938 10.69
18. need need
needed
Needs
Verb 5 -11.3 2.05 21.21 0.48 4 22,531,230 2.41
19. come came
come
comes
coming
Verb 24 -9 7.67 28.88 0.78 19 4,929,065 11.03
20. may may Verb 21 -6.99 7.45 19.55 0.78 19 5,975,252 9.1
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