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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. do did
do
does
Verb 12 -41.87 3.46 140.03 0.62 8 14,066,298 3.86
2. have had
has
have
having
Verb 89 -30.27 10.88 242.76 0.84 43 2,205,016 24.65
3. be 're
's
are
be
been
being
is
was
were
Verb 542 -28.65 17.01 551.22 0.87 82 751,842 72.3
4. get get
getting
got
Verb 8 -19.34 3.03 48.56 0.54 6 9,345,210 5.82
5. would would Verb 14 -19.25 5 61.78 0.71 12 6,997,183 7.77
6. could could Verb 5 -18.84 1.41 38.16 0.56 5 15,396,915 3.53
7. take take
taking
took
Verb 6 -18.4 2.08 40.36 0.53 5 21,603,855 2.52
8. make made
make
makes
making
Verb 9 -17.56 3.56 45.78 0.64 8 10,423,034 5.22
9. see saw
see
seen
Verb 9 -15.15 3.74 38.53 0.64 8 11,698,639 4.65
10. can can Verb 20 -12.77 6.7 43.22 0.74 16 5,870,775 9.26
11. will will Verb 24 -10.69 7.5 36.7 0.72 17 5,475,060 9.93
12. look look
looking
Verb 6 -10.64 2.75 21.38 0.43 4 18,388,451 2.96
13. need need
needs
Verb 5 -6.23 2.72 10.31 0.56 5 15,886,470 3.42
14. must must Verb 6 -5.95 3.39 10.39 0.53 5 18,971,044 2.87
15. mean mean
meaning
means
meant
Verb 6 -5.33 3.5 8.98 0.6 6 12,599,679 4.31
16. should should Verb 13 -5.3 6.1 11.48 0.72 12 10,082,104 5.39
17. use use
used
using
Verb 19 -3.81 7.59 7.83 0.72 14 8,658,453 6.28
18. give give
given
gives
giving
Verb 20 -3.76 7.76 7.77 0.77 18 5,998,673 9.06
19. provide provide
provides
Verb 6 -3.58 3.87 5.24 0.53 5 17,430,579 3.12
20. include include
included
includes
Verb 5 -2.37 3.6 2.74 0.48 4 17,552,814 3.1
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