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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
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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 363 -42.25 15.32 831.29 0.88 81 636,381 85.42
2. have 'd
've
had
has
have
having
Verb 112 -23.61 11.92 192.41 0.83 49 1,707,313 31.84
3. do did
do
does
doing
done
Verb 33 -20.67 7.89 97.11 0.75 19 7,945,061 6.84
4. can ca
can
Verb 11 -19.15 4.16 55.31 0.61 8 10,228,566 5.31
5. say said
say
saying
says
Verb 18 -16.99 6.02 59.2 0.59 10 9,078,255 5.99
6. could could Verb 7 -14.56 2.91 33.04 0.58 6 13,829,791 3.93
7. give gave
give
given
Verb 5 -13.68 1.81 26.56 0.56 5 16,541,673 3.29
8. would 'd
would
Verb 24 -12.07 7.38 43.08 0.79 21 4,642,886 11.71
9. will will
wo
Verb 21 -11.52 6.97 38.59 0.76 18 5,692,977 9.55
10. think think
thinking
thought
Verb 9 -10.62 4.16 25.13 0.5 6 11,330,012 4.8
11. look look
looked
looking
Looks
Verb 6 -10.2 2.8 20.32 0.6 6 15,530,685 3.5
12. go go
goes
going
gone
went
Verb 22 -9.02 7.37 28.36 0.77 19 5,169,877 10.51
13. find find
finding
finds
found
Verb 6 -8.67 2.99 16.69 0.6 6 13,689,188 3.97
14. see saw
see
seeing
seen
Verb 17 -8.64 6.55 24.48 0.71 13 8,537,092 6.37
15. should should Verb 8 -8.14 4.04 17.25 0.66 8 13,097,677 4.15
16. may may Verb 9 -7.69 4.51 16.74 0.58 6 19,373,252 2.81
17. get Get
getting
got
Verb 24 -7.47 7.83 22.47 0.55 12 14,755,185 3.68
18. come came
come
comes
coming
Verb 14 -7.25 6.06 18.12 0.69 11 11,189,000 4.86
19. want want
wanted
Verb 7 -6.76 3.78 12.95 0.53 5 21,940,428 2.48
20. leave leaving
left
Verb 5 -5.45 2.86 8.69 0.56 5 18,104,290 3
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