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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 're
's
are
be
been
being
is
was
were
Verb 912 -60.39 18.08 1,822.46 0.9 98 297,542 182.7
2. say said
say
says
Verb 11 -60.29 2.66 194.66 0.64 9 13,091,790 4.15
3. do did
do
does
doing
done
Verb 51 -42.62 8.54 272.63 0.84 37 2,144,039 25.35
4. have 've
had
has
have
having
Verb 264 -35.92 14.41 448.32 0.9 82 620,187 87.65
5. see saw
see
seen
Verb 10 -35.81 3.02 105.69 0.7 10 7,140,335 7.61
6. go go
goes
going
gone
went
Verb 21 -28.29 5.94 113.72 0.76 18 4,682,640 11.61
7. think think
thought
Verb 10 -27.09 3.39 77.68 0.66 9 10,418,648 5.22
8. know know
knowing
known
knows
Verb 16 -25.67 5.11 90.21 0.69 12 7,941,519 6.84
9. look look
looked
looking
Verb 7 -24.78 2.24 59.8 0.63 7 13,196,457 4.12
10. should should Verb 9 -21.23 3.33 56.33 0.68 9 8,410,380 6.46
11. would 'd
would
Verb 52 -19.79 9.5 107.18 0.83 34 2,822,553 19.26
12. can ca
can
Verb 48 -18.26 9.31 93.76 0.78 29 3,478,213 15.63
13. could could Verb 25 -16.33 7.19 63.37 0.81 23 3,594,140 15.12
14. may may Verb 15 -15.52 5.49 48.56 0.69 12 7,138,628 7.61
15. use use
used
uses
using
Verb 17 -15.43 5.93 50.73 0.67 12 6,028,493 9.02
16. find find
found
Verb 12 -14.95 4.76 42.41 0.7 11 13,144,511 4.14
17. will will
wo
Verb 67 -12.93 10.76 66.25 0.79 33 3,579,499 15.19
18. give gave
give
GIVES
giving
Verb 24 -12.11 7.37 42.72 0.78 20 5,075,224 10.71
19. make made
make
makes
making
Verb 55 -11.41 10.22 52.18 0.84 38 2,251,446 24.14
20. show show
showed
showing
shown
shows
Verb 8 -10.97 3.71 24.81 0.61 7 15,285,514 3.56
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