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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 458 -54.9 15.84 1,266.91 0.8 80 681,456 79.77
2. do did
do
does
doing
done
Verb 30 -33.25 6.99 163.48 0.78 21 6,862,651 7.92
3. have 'd
've
had
has
have
having
Verb 170 -25.77 13.25 248.79 0.79 58 1,281,027 42.43
4. can ca
can
Verb 14 -24.1 4.72 79.76 0.47 8 12,905,260 4.21
5. come came
come
comes
Verb 6 -21.03 1.91 46.7 0.6 6 17,689,918 3.07
6. would 'd
would
Verb 22 -20.09 6.52 78.25 0.78 19 5,164,074 10.53
7. say said
say
saying
says
Verb 26 -19.6 7.12 81.41 0.76 18 5,614,405 9.68
8. think think
thought
Verb 7 -18.94 2.59 44.5 0.63 7 11,515,661 4.72
9. make made
make
makes
making
Verb 16 -16.83 5.62 55.35 0.68 11 11,123,322 4.89
10. will will
wo
Verb 23 -16.72 6.88 63.66 0.7 13 9,298,637 5.85
11. may may Verb 6 -15.85 2.27 33.95 0.6 6 13,136,001 4.14
12. take take
taken
takes
taking
took
Verb 13 -15.53 4.99 46.12 0.66 10 10,338,164 5.26
13. give gave
give
given
giving
Verb 8 -14.76 3.36 35.41 0.54 6 17,078,624 3.18
14. could could Verb 14 -13.27 5.43 39.26 0.71 12 6,697,182 8.12
15. know knew
know
known
Verb 18 -12.46 6.36 40.02 0.72 14 13,812,348 3.94
16. see saw
see
seen
sees
Verb 20 -11.97 6.77 39.6 0.75 16 5,038,702 10.79
17. get get
getting
got
Verb 25 -11.94 7.53 42.82 0.78 21 4,315,680 12.6
18. want want
wanted
Verb 6 -11.75 2.63 24.01 0.53 5 14,981,783 3.63
19. should should Verb 10 -10.56 4.53 25.93 0.61 8 9,178,058 5.92
20. mean mean
means
meant
Verb 5 -9.27 2.28 16.79 0.56 5 16,653,572 3.26
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