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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. have had
has
have
Verb 25 -38.58 6.16 190.42 0.79 21 4,926,171 11.03
2. be 're
's
are
be
been
being
is
was
were
Verb 225 -31.89 13.98 487.35 0.88 74 843,730 64.43
3. do did
Do
does
done
Verb 14 -20.67 4.91 68.47 0.69 11 6,717,845 8.09
4. will will Verb 8 -12.88 3.53 30.52 0.54 6 12,199,441 4.46
5. would would Verb 11 -11.77 4.73 31.21 0.66 9 10,676,871 5.09
6. can can Verb 10 -11.02 4.48 27.68 0.66 9 9,246,056 5.88
7. could could Verb 5 -10.02 2.19 18.57 0.48 4 25,011,912 2.17
8. come came
come
comes
coming
Verb 6 -7.66 3.12 14.39 0.6 6 11,939,298 4.55
9. make make
making
Verb 12 -6.9 5.59 16.18 0.7 11 12,356,186 4.4
10. take take
taken
Verb 10 -6.24 5.07 13.27 0.66 9 11,456,985 4.74
11. work work
working
Verb 5 -2.5 3.56 2.96 0.48 4 18,535,097 2.93
12. should should Verb 11 -2.32 6.15 3.19 0.42 6 15,444,368 3.52
13. may may Verb 12 -2.11 6.48 2.79 0.73 12 6,147,650 8.84
14. see see
seeing
seen
Verb 29 -0.5 9.59 0.23 0.72 17 6,911,948 7.86
15. help help Verb 7 0.03 5.63 0 0.49 5 20,973,329 2.59
16. offer offer
offers
Verb 5 0.05 4.68 0 0.56 5 16,154,892 3.36
17. describe describe
described
Verb 5 0.45 4.97 0.25 0.48 4 14,840,994 3.66
18. serve serve
serves
Verb 5 1.04 5.55 2.04 0.48 4 20,132,037 2.7
19. contain contain
containing
contains
Verb 6 1.2 6.14 2.84 0.6 6 10,070,256 5.4
20. include include
included
includes
Verb 11 1.51 7.79 4.19 0.61 8 11,254,229 4.83
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