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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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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. serve Serves
serving
Verb 53 7.09 16.72 1,940.37 0.07 2 47,782,486 1.14
2. consume consume
consumed
Verb 23 4.77 16.54 4,094.22 0.38 10 13,857,556 3.92
3. burn burn
burned
burning
burns
Verb 21 4.51 14.67 1,201.48 0.62 9 17,813,408 3.05
4. count count
counting
Verb 18 4.14 13.77 741.53 0.7 12 13,510,182 4.02
5. eat ate
eat
eating
Verb 12 3.14 10.57 103.73 0.55 7 13,643,950 3.98
6. contain contain
contained
contains
Verb 11 2.84 9.72 56.48 0.61 8 20,505,724 2.65
7. provide provide
provided
provides
Verb 15 2.73 9.57 25.3 0.44 5 13,347,765 4.07
8. reduce reduce
reduced
reduces
reducing
Verb 10 2.67 9.33 46.13 0.52 6 18,537,945 2.93
9. supply supplied
supplies
supply
Verb 8 2.6 9.65 85.29 0.23 3 24,975,261 2.18
10. cut cut
cutting
Verb 5 1.53 6.31 7.44 0.34 3 45,226,163 1.2
11. increase increase Verb 5 1.48 6.22 6.57 0.17 2 37,468,432 1.45
12. keep keep
keeping
keeps
Verb 5 0.32 4.86 0.12 0.56 5 36,045,318 1.51
13. need NEED
needed
needs
Verb 5 -0.3 4.46 0.08 0.4 3 21,036,429 2.58
14. come come
comes
Verb 8 -1.69 5.33 1.8 0.51 5 25,665,134 2.12
15. can can Verb 12 -3.21 6.22 5.47 0.31 5 20,310,682 2.68
16. will will Verb 6 -6.9 3.24 12.75 0.43 4 35,266,504 1.54
17. do did
do
does
Verb 5 -18.83 1.41 39.34 0.48 4 47,707,060 1.14
18. have had
has
have
having
Verb 20 -20.65 6.15 84.64 0.66 13 9,239,652 5.88
19. be 're
's
are
be
been
being
is
was
were
Verb 119 -22.33 12.18 245.2 0.64 30 3,183,774 17.07
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