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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 'm
's
are
be
been
being
is
was
were
Verb 443 -99.23 15.07 2,582.4 0.91 94 403,310 134.78
2. say said
say
says
Verb 8 -66.19 1.39 184.37 0.66 8 11,214,415 4.85
3. go go
goes
going
gone
went
Verb 6 -54.45 0.63 130.1 0.6 6 13,144,587 4.14
4. do did
do
does
Verb 33 -51.49 6.77 278.31 0.73 21 3,253,748 16.71
5. take take
taken
took
Verb 5 -45.6 0.22 98.64 0.56 5 23,313,085 2.33
6. come came
comes
coming
Verb 8 -28.69 2.52 74.79 0.66 8 9,065,322 6
7. think think
thinking
thought
Verb 8 -28.47 2.53 74.16 0.61 7 12,940,989 4.2
8. give gave
give
given
gives
Verb 8 -24.44 2.73 62.62 0.61 7 15,858,934 3.43
9. can can Verb 30 -24 7.39 109.43 0.8 23 3,571,315 15.22
10. use Use
used
uses
using
Verb 8 -23.54 2.78 60.07 0.54 6 13,063,102 4.16
11. should should Verb 7 -22.77 2.35 54.5 0.49 5 17,806,239 3.05
12. would would Verb 45 -20.15 8.98 103.9 0.8 30 2,859,520 19.01
13. see saw
see
seen
Verb 23 -18.98 6.74 73.81 0.75 16 5,275,528 10.3
14. could could Verb 23 -15.78 6.95 58.84 0.8 21 4,082,037 13.32
15. seem seem
seems
Verb 5 -14.23 1.76 27.66 0.56 5 16,929,650 3.21
16. will will
wo
Verb 59 -13.14 10.33 65.11 0.86 42 2,343,005 23.2
17. have 'd
had
has
have
having
Verb 553 -9.84 17.72 76.11 0.93 94 338,379 160.65
18. must must Verb 11 -9.67 4.95 24.05 0.68 10 10,572,164 5.14
19. follow follow
followed
following
Verb 6 -8.83 2.97 17.01 0.6 6 13,539,577 4.01
20. may may Verb 27 -8.18 8.15 26.23 0.74 19 4,769,489 11.4
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