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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
's
are
be
been
is
was
were 		Verb 268 -26.47 14.74 401.12 0.41 31 3,992,075 13.62
2. do did
do
does
done 		Verb 17 -17.97 5.75 63 0.52 7 17,763,842 3.06
3. would would Verb 10 -12.62 4.32 32.69 0.35 3 26,805,402 2.03
4. know knew
know
knows 		Verb 6 -9.97 2.83 19.9 0.25 2 53,488,487 1.02
5. have 'd
've
had
has
have
having 		Verb 121 -8.75 12.99 47.58 0.39 16 8,290,491 6.56
6. say said
say
says 		Verb 21 -7.22 7.42 20.77 0.3 4 38,354,662 1.42
7. can ca
can 		Verb 16 -7.18 6.52 18.86 0.22 3 47,998,511 1.13
8. get get
got 		Verb 12 -7.04 5.57 16.62 0.44 5 21,338,741 2.55
9. may may Verb 5 -6.37 2.7 10.65 -0.01 1 53,643,442 1.01
10. go go
goes
going
gone
went 		Verb 18 -4.86 7.24 11.21 0.36 6 19,445,140 2.8
11. see saw
see
seen 		Verb 14 -4.7 6.44 9.94 0.39 5 18,297,852 2.97
12. make made
make
makes
making 		Verb 18 -4.19 7.35 8.99 0.36 6 15,646,960 3.47
13. could could Verb 13 -3.98 6.33 7.62 0.39 4 35,746,191 1.52
14. take take
taken
taking
took 		Verb 18 -2.74 7.62 4.63 0.46 6 17,891,459 3.04
15. should should Verb 10 -2.73 5.75 4.04 0.19 3 41,031,027 1.32
16. tell telling
told 		Verb 6 -2.66 4.11 3.41 0.29 3 25,452,572 2.14
17. must must Verb 6 -2.42 4.18 2.97 0.29 3 38,059,165 1.43
18. will will Verb 31 -2.39 9.39 4.08 0.43 6 33,685,298 1.61
19. come came
come
comes
coming 		Verb 16 -2.17 7.37 3.1 0.37 4 19,424,099 2.8
20. provide provide
provided
provides
providing 		Verb 5 -1.6 3.87 1.5 0.4 3 31,002,389 1.75
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