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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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Part of speech:
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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 221 -37.05 13.77 588.9 0.89 74 849,219 64.01
2. do did
do
does
done 		Verb 13 -24.2 4.45 79.38 0.72 12 6,368,199 8.54
3. have 'd
had
has
have
having 		Verb 77 -18.48 10.9 122.57 0.87 51 1,730,635 31.41
4. would would Verb 10 -14.21 4.19 37.64 0.7 10 9,188,239 5.92
5. will will Verb 9 -13.25 3.9 33.12 0.64 8 13,733,305 3.96
6. can can Verb 10 -12.41 4.34 31.94 0.7 10 7,561,544 7.19
7. take take
taken
takes 		Verb 5 -12.35 1.94 23.72 0.48 4 18,734,557 2.9
8. go go
goes
going
gone
went 		Verb 8 -12.2 3.59 28.53 0.57 6 10,916,201 4.98
9. see see
seen 		Verb 7 -10.49 3.3 22.51 0.53 5 17,046,195 3.19
10. think think
thinks
thought 		Verb 5 -9.84 2.21 18.13 0.48 4 19,027,402 2.86
11. give gave
give
given
giving 		Verb 5 -8.28 2.41 14.73 0.56 5 23,193,462 2.34
12. use use
used
using 		Verb 6 -6.83 3.25 12.45 0.6 6 14,595,388 3.72
13. should should Verb 6 -5.92 3.4 10.35 0.6 6 19,434,688 2.8
14. find find
found 		Verb 7 -4.16 4.25 6.77 0.63 7 10,159,085 5.35
15. want want
wanted
wants 		Verb 8 -2.99 4.96 4.37 0.66 8 8,813,556 6.17
16. make made
make
makes
making 		Verb 29 -1.93 9.27 2.78 0.78 21 4,468,593 12.16
17. follow followed
follows 		Verb 5 -1.53 3.89 1.4 0.56 5 15,543,780 3.5
18. help help
helped
helping 		Verb 5 -1.16 4.04 0.89 0.56 5 19,016,166 2.86
19. mean means
meant 		Verb 9 -1.05 5.91 0.83 0.68 9 14,180,729 3.83
20. bring bring
brought 		Verb 6 -0.8 4.76 0.49 0.53 5 14,887,526 3.65
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