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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
doing
done 		Verb 12 -34.51 3.72 113.58 0.7 11 7,769,969 7
2. be 're
's
are
be
been
being
is
was
were 		Verb 365 -33.91 15.55 620.76 0.89 83 573,007 94.87
3. say said
say
says 		Verb 12 -19.08 4.47 57.43 0.7 11 12,059,014 4.51
4. have 've
had
has
have
having 		Verb 116 -18.36 12.28 139.02 0.88 59 1,192,794 45.57
5. take take
taken
taking 		Verb 7 -13.53 3 30.37 0.63 7 10,975,035 4.95
6. get get
getting
got 		Verb 11 -12.52 4.66 33.41 0.57 8 11,366,040 4.78
7. go go
goes
going
gone
went 		Verb 14 -11.16 5.62 31.87 0.69 11 10,528,534 5.16
8. give given
gives
giving 		Verb 7 -9.02 3.47 18.63 0.58 6 13,389,418 4.06
9. look look
looked 		Verb 6 -8.52 3.01 16.35 0.6 6 16,082,891 3.38
10. see saw
see
seeing
seen 		Verb 16 -7.4 6.49 19.53 0.75 15 8,743,913 6.22
11. would would Verb 32 -7.08 8.83 22.82 0.81 26 3,498,158 15.54
12. should should Verb 10 -5.35 5.22 10.72 0.7 10 7,358,963 7.39
13. may may Verb 11 -5.06 5.58 10.25 0.68 10 9,218,274 5.9
14. need need
needed
needing
needs 		Verb 5 -4.86 2.98 7.47 0.56 5 14,790,622 3.68
15. will will Verb 36 -4.66 9.51 12.51 0.82 28 2,952,581 18.41
16. come came
come
comes
coming 		Verb 17 -4.53 7.11 9.89 0.63 10 10,628,102 5.11
17. could could Verb 21 -4.03 7.87 8.77 0.77 18 4,969,564 10.94
18. find find
finding
found 		Verb 12 -3.35 6.19 5.76 0.66 10 9,599,530 5.66
19. use use
used
using 		Verb 17 -3.11 7.36 5.58 0.76 16 4,769,761 11.4
20. might might Verb 7 -2.86 4.56 3.96 0.58 6 17,536,390 3.1
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