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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 's
am
are
be
been
being
is
was
were 		Verb 329 -68.78 14.46 1,479.22 0.92 87 519,287 104.68
2. do did
do
does
doing
done 		Verb 15 -49 4.04 183.88 0.71 12 6,351,531 8.56
3. have 've
had
has
have
having 		Verb 123 -32.95 11.9 304.93 0.9 62 1,154,041 47.1
4. get get
gets
getting
got 		Verb 6 -30.93 1.4 71.45 0.6 6 11,060,374 4.91
5. say said
say
saying
says 		Verb 18 -24.41 5.58 90.59 0.74 15 6,847,589 7.94
6. would would Verb 19 -21.38 5.93 79.31 0.71 15 5,964,721 9.11
7. think think
thinking 		Verb 8 -16.66 3.22 40.79 0.66 8 11,753,932 4.62
8. could could Verb 10 -16.27 4.02 43.66 0.66 9 11,357,985 4.79
9. will will
wo 		Verb 24 -15.43 7.12 58.64 0.8 22 4,220,422 12.88
10. should should Verb 6 -14.65 2.37 31.03 0.53 5 12,864,365 4.23
11. can ca
can 		Verb 26 -14.62 7.45 56.5 0.78 20 4,202,616 12.93
12. see saw
see
seen
sees 		Verb 18 -12.49 6.36 40.19 0.74 15 5,623,338 9.67
13. take take
taken
takes
taking
took 		Verb 17 -12.03 6.2 37.49 0.73 14 5,784,950 9.4
14. use used
using 		Verb 10 -11.53 4.43 28.9 0.7 10 7,518,704 7.23
15. may may Verb 10 -10.52 4.53 25.83 0.7 10 11,181,769 4.86
16. give give
given
giving 		Verb 14 -9.09 5.84 24.36 0.73 13 6,961,837 7.81
17. come came
come
comes 		Verb 19 -8.38 6.95 24.32 0.73 15 5,391,094 10.08
18. put put
puts
putting 		Verb 6 -8.16 3.05 15.47 0.6 6 14,744,527 3.69
19. seem seem
seemed 		Verb 5 -8.02 2.45 14.1 0.56 5 13,907,745 3.91
20. might might Verb 5 -7.91 2.46 13.86 0.48 4 26,827,402 2.03
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