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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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TTEST
MI3
CHISQ
JD
R
AWT
fAWT
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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 475 -98.58 15.32 2,637.23 0.94 94 416,446 130.53
2. do did
do
does
done
Verb 24 -64.66 5.34 307.95 0.79 22 4,471,312 12.16
3. have had
has
have
having
Verb 140 -56.87 11.72 621.3 0.9 70 1,038,464 52.35
4. go go
goes
going
gone
Verb 6 -56.52 0.58 135.26 0.53 5 22,565,516 2.41
5. say said
say
saying
says
Verb 13 -52.51 3.44 181.92 0.64 9 7,363,434 7.38
6. take take
took
Verb 7 -39.25 1.63 98.74 0.63 7 13,671,090 3.98
7. see saw
see
seen
sees
Verb 9 -36.39 2.63 102.45 0.64 8 13,307,885 4.08
8. can can Verb 20 -32.95 5.58 132.62 0.77 18 4,295,942 12.65
9. will will
wo
Verb 22 -30.65 6.01 127.43 0.81 22 4,687,566 11.6
10. would would Verb 33 -26.75 7.59 129.67 0.83 29 2,891,304 18.8
11. should should Verb 7 -23.7 2.3 56.94 0.63 7 17,408,072 3.12
12. use use
used
using
Verb 9 -22.77 3.24 60.99 0.68 9 11,499,633 4.73
13. know knew
know
known
Verb 23 -18.94 6.74 73.58 0.79 20 4,165,076 13.05
14. could could Verb 23 -16.53 6.89 62.29 0.78 19 4,742,734 11.46
15. mean means
meant
Verb 5 -16.25 1.6 32.12 0.56 5 23,143,490 2.35
16. find find
finding
finds
found
Verb 11 -15.13 4.44 41.5 0.66 9 9,775,520 5.56
17. may may Verb 19 -12.16 6.57 39.4 0.77 17 7,752,295 7.01
18. need need
needed
needs
Verb 8 -11.69 3.64 26.79 0.66 8 12,130,851 4.48
19. leave leave
leaving
left
Verb 8 -10.83 3.73 24.41 0.61 7 9,398,798 5.78
20. give gave
give
given
gives
giving
Verb 26 -10.58 7.78 36.78 0.82 25 4,139,203 13.13
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