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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
CHISQ
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. be 'm
're
's
are
be
been
being
is
was
were
Verb 715 -59.43 17.28 1,642.56 0.92 92 312,031 174.21
2. know know
known
Verb 7 -35.14 1.78 87.77 0.63 7 12,560,745 4.33
3. do did
do
does
doing
done
Verb 59 -31.28 9.42 201.73 0.86 42 1,813,819 29.97
4. have 'd
've
had
has
have
having
Verb 272 -26.79 14.78 305.09 0.91 83 565,062 96.2
5. say said
say
saying
says
Verb 33 -25.19 7.66 120.97 0.81 25 3,552,366 15.3
6. see see
seeing
seen
Verb 14 -23.99 4.72 78.89 0.73 13 6,001,071 9.06
7. think think
thinking
thought
Verb 9 -23.86 3.18 64.37 0.58 7 10,645,353 5.11
8. may may Verb 6 -23.37 1.77 52.32 0.53 5 16,972,693 3.2
9. can ca
can
Verb 27 -23.09 7.07 100.1 0.8 23 4,455,630 12.2
10. will will
wo
Verb 29 -21.65 7.39 95.4 0.8 24 3,954,528 13.75
11. should should Verb 11 -15.14 4.44 41.58 0.71 11 8,229,875 6.61
12. mean mean
means
meant
Verb 5 -14 1.78 27.14 0.56 5 19,188,830 2.83
13. could could Verb 23 -13.93 7.08 50.39 0.8 21 6,696,263 8.12
14. would 'd
would
Verb 61 -13.18 10.43 66.26 0.86 42 1,992,409 27.28
15. might might Verb 5 -12.59 1.91 24.04 0.56 5 18,216,753 2.98
16. use use
used
uses
using
Verb 17 -12.34 6.18 38.55 0.71 13 6,268,121 8.67
17. go go
goes
going
gone
went
Verb 45 -12.2 9.49 53.84 0.84 33 2,497,981 21.76
18. give gave
give
given
gives
giving
Verb 19 -11.74 6.61 37.74 0.73 15 5,867,925 9.26
19. come came
come
comes
coming
Verb 25 -11.23 7.59 39.33 0.78 21 3,954,051 13.75
20. turn turn
turned
turning
Verb 5 -8.75 2.35 15.65 0.56 5 16,629,097 3.27
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