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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. do did
do 		Verb 10 -31.35 3.2 94.14 0.52 6 13,222,647 4.11
2. be 're
's
are
be
been
being
is
was
were 		Verb 356 -25.67 15.71 418.14 0.72 75 716,794 75.84
3. say said
say
says 		Verb 9 -18.6 3.49 49.32 0.64 8 10,316,667 5.27
4. have 'd
've
had
has
have
having 		Verb 91 -17.75 11.5 122.82 0.69 35 2,163,565 25.12
5. go go
went 		Verb 6 -16.44 2.22 35.7 0.6 6 15,719,377 3.46
6. know knew
know
known 		Verb 5 -14.07 1.78 27.54 0.56 5 13,940,027 3.9
7. will will
wo 		Verb 11 -12.69 4.65 34.09 0.68 10 10,384,328 5.23
8. would 'd
would 		Verb 17 -10.38 6.36 31.38 0.57 9 10,801,206 5.03
9. get get
gets
got 		Verb 11 -9.82 4.93 24.78 0.66 9 14,781,775 3.68
10. see saw
see
seen 		Verb 11 -8.09 5.14 19.34 0.68 10 6,060,938 8.97
11. come came
come
comes 		Verb 9 -6.86 4.62 14.5 0.58 7 16,824,439 3.23
12. should should Verb 6 -6.66 3.27 12.05 0.53 5 16,400,607 3.31
13. look look
looked
looking
looks 		Verb 6 -6.65 3.28 12.01 0.53 5 19,255,691 2.82
14. could could Verb 11 -6.56 5.34 14.64 0.64 9 9,794,120 5.55
15. may may Verb 10 -4.13 5.44 7.47 0.4 4 23,061,787 2.36
16. give gave
give
given
gives 		Verb 12 -3.93 6.08 7.3 0.44 5 12,417,151 4.38
17. mean means
meant 		Verb 5 -3.68 3.24 5.15 0.34 3 29,252,385 1.86
18. take Take
taken
takes
taking
took 		Verb 20 -3.47 7.82 6.87 0.72 15 6,268,673 8.67
19. can can Verb 40 -2.15 10.22 3.52 0.45 14 6,658,547 8.16
20. might might Verb 7 -1.92 4.83 2.16 0.49 5 19,437,963 2.8
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