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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 328 -41.21 15 776.73 0.78 71 972,387 55.9
2. say said
say
Verb 5 -34.81 0.59 75.09 0.56 5 14,151,716 3.84
3. have 've
had
has
have
having
Verb 67 -32.48 9.82 236.77 0.83 38 2,307,576 23.56
4. go go
went
Verb 5 -24.22 1.08 50.51 0.56 5 29,020,894 1.87
5. do did
do
does
doing
done
Verb 28 -21.08 7.3 93.2 0.77 21 6,483,660 8.38
6. would 'd
would
Verb 13 -17.6 4.84 53.95 0.72 12 16,881,645 3.22
7. get get
got
Verb 9 -15.57 3.71 39.86 0.55 6 9,645,848 5.64
8. come come
comes
coming
Verb 5 -14.68 1.72 28.84 0.56 5 18,047,633 3.01
9. see saw
see
seen
Verb 8 -14.28 3.4 34.23 0.61 7 12,735,389 4.27
10. know know
knowing
known
Verb 9 -12.54 3.97 30.8 0.68 9 8,844,250 6.15
11. could could Verb 11 -9.31 4.99 23.07 0.61 8 15,882,229 3.42
12. look look
looking
Verb 6 -9.18 2.92 17.92 0.6 6 13,920,245 3.91
13. find find
found
Verb 5 -8.97 2.32 16.18 0.56 5 15,491,773 3.51
14. will will Verb 25 -8.57 7.85 27.67 0.73 16 5,182,168 10.49
15. take take
taken
takes
taking
took
Verb 14 -8.39 5.92 22.02 0.73 13 7,856,338 6.92
16. give gave
give
given
gives
giving
Verb 9 -7.91 4.48 17.38 0.64 8 8,414,505 6.46
17. can ca
can
Verb 31 -6.74 8.76 21 0.71 18 4,996,723 10.88
18. should should Verb 11 -5.29 5.54 10.88 0.66 9 17,366,318 3.13
19. may may Verb 12 -5.05 5.87 10.47 0.64 8 9,811,628 5.54
20. become became
become
becomes
Verb 6 -4.61 3.64 7.41 0.48 4 19,560,178 2.78
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