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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 'm
're
's
am
are
be
been
being
is
was
were
Verb 1,034 -114.61 17.84 4,315.5 0.94 99 190,086 285.97
2. have 'd
've
had
has
have
having
Verb 277 -71.21 13.83 1,072.16 0.91 87 564,197 96.35
3. do did
do
does
doing
done
Verb 84 -57.72 9.92 477.65 0.87 53 1,386,709 39.2
4. think think
thinking
thought
Verb 9 -52.01 2.14 149.44 0.64 8 11,924,160 4.56
5. would 'd
would
Verb 35 -50.85 7 276.32 0.79 27 3,740,523 14.53
6. say said
say
saying
says
Verb 55 -41.65 8.84 269.44 0.85 42 1,756,366 30.95
7. may may Verb 10 -37.8 2.95 111.44 0.64 8 11,884,685 4.57
8. tell tell
tells
told
Verb 5 -35.41 0.57 75.01 0.56 5 13,022,938 4.17
9. know knew
know
knowing
known
Verb 26 -35.06 6.42 158.51 0.76 19 5,847,900 9.3
10. will will
wo
Verb 53 -33.67 8.96 206.14 0.78 30 3,617,592 15.03
11. could could Verb 23 -33.56 6.05 142.85 0.76 18 4,321,296 12.58
12. can ca
can
Verb 59 -31.51 9.41 199.02 0.83 38 2,659,081 20.44
13. look look
looked
looking
looks
Verb 13 -31.11 4.13 101.52 0.72 12 7,739,901 7.02
14. should should Verb 14 -29.77 4.45 99.94 0.71 12 7,411,432 7.33
15. mean mean
meaning
meant
Verb 6 -27.9 1.54 63.23 0.53 5 21,082,704 2.58
16. come came
Come
comes
coming
Verb 26 -27.49 6.72 119.8 0.79 22 5,118,178 10.62
17. see saw
see
seeing
seen
sees
Verb 42 -26.32 8.45 139.1 0.83 32 2,467,681 22.03
18. become became
become
becomes
Verb 7 -26.05 2.18 62.98 0.63 7 9,764,414 5.57
19. must must Verb 9 -23.78 3.18 63.77 0.5 6 13,394,214 4.06
20. feel feels
felt
Verb 7 -22.41 2.37 53.33 0.58 6 15,257,275 3.56
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