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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. be 're
are
be
been
being
is
was
were 		Verb 232 -44.78 13.74 762.51 0.85 70 931,259 58.37
2. do did
do
does
doing 		Verb 14 -27.99 4.53 96.57 0.71 12 24,278,335 2.24
3. have had
has
have
having 		Verb 64 -27.4 9.85 189.19 0.82 39 2,585,865 21.02
4. say said
say
saying
says 		Verb 8 -22.09 2.86 56.86 0.66 8 17,265,030 3.15
5. would would Verb 13 -14.43 5.08 42.66 0.66 10 9,683,387 5.61
6. make made
make
makes
making 		Verb 10 -11.59 4.42 29.28 0.64 8 15,401,107 3.53
7. could could Verb 7 -10.82 3.27 23.31 0.58 6 20,938,877 2.6
8. see saw
see
seeing
seen 		Verb 9 -10.72 4.15 25.53 0.64 8 8,939,979 6.08
9. will will Verb 21 -8.02 7.33 23.89 0.71 15 5,148,411 10.56
10. give give
given
gives 		Verb 7 -7.88 3.62 15.77 0.58 6 12,453,774 4.36
11. can ca
can 		Verb 22 -7.74 7.51 23.1 0.73 15 9,964,483 5.46
12. look look
looking 		Verb 6 -7.45 3.16 13.85 0.53 5 12,499,019 4.35
13. find find
found 		Verb 5 -7.3 2.55 12.59 0.56 5 30,868,670 1.76
14. use use
used
using 		Verb 11 -4.8 5.63 9.52 0.68 10 9,376,097 5.8
15. must must Verb 6 -3.9 3.8 5.91 0.53 5 12,151,103 4.47
16. should should Verb 13 -3.13 6.5 5.29 0.53 6 15,246,476 3.57
17. may may Verb 15 -2.6 7.07 4.09 0.71 12 6,008,288 9.05
18. leave leave
leaves
left 		Verb 8 -1.93 5.25 2.22 0.61 7 11,233,731 4.84
19. provide provide
provided
provides 		Verb 7 -1.58 4.94 1.57 0.58 6 16,211,701 3.35
20. bring bring
bringing
brings
brought 		Verb 7 -0.92 5.18 0.63 0.53 5 13,466,092 4.04
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