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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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MI3
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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 746 -78.28 17.14 2,375.91 0.82 90 471,565 115.27
2. say said
say
says
Verb 11 -63.74 2.58 206.38 0.68 10 11,847,788 4.59
3. do did
do
does
doing
done
Verb 37 -55.5 7.08 318.23 0.73 19 4,291,039 12.67
4. get get
getting
got
Verb 8 -50.05 1.78 136.44 0.66 8 9,122,363 5.96
5. think think
thought
Verb 6 -38.73 1.1 90.34 0.53 5 36,453,650 1.49
6. can ca
can
Verb 19 -37.84 5.22 151.23 0.67 13 5,798,258 9.38
7. know knew
know
known
Verb 10 -36.41 3 107.55 0.61 8 11,149,227 4.88
8. have 've
had
Has
have
having
Verb 299 -34.39 14.87 441.37 0.78 68 990,724 54.87
9. look look
looked
Verb 6 -28.78 1.5 65.59 0.48 4 24,895,487 2.18
10. go Go
goes
going
gone
went
Verb 24 -27.52 6.44 116.64 0.77 19 4,781,560 11.37
11. would 'd
would
Verb 38 -27.13 8.06 139.67 0.76 24 3,686,947 14.74
12. find find
found
Verb 7 -22.77 2.35 54.44 0.63 7 10,328,921 5.26
13. see saw
see
seen
sees
Verb 25 -20.98 6.91 86.06 0.79 21 5,149,118 10.56
14. may may Verb 12 -19.39 4.45 57.54 0.66 9 9,248,671 5.88
15. could could Verb 22 -19.28 6.57 73.74 0.65 12 5,789,264 9.39
16. must must Verb 6 -17.59 2.14 38.07 0.53 5 13,129,016 4.14
17. give gave
give
given
gives
giving
Verb 17 -17.19 5.81 57.78 0.72 13 6,763,475 8.04
18. make made
make
makes
making
Verb 40 -16.94 8.76 79.43 0.74 24 3,740,812 14.53
19. take take
taken
takes
taking
took
Verb 35 -14.68 8.46 62.84 0.75 21 5,121,203 10.61
20. need needed
needs
Verb 7 -14.42 2.93 32.43 0.58 6 15,653,131 3.47
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