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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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Part of speech:
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. be 's
are
be
been
being
is
was
were 		Verb 244 -29.13 14.34 443.72 0.87 70 850,112 63.94
2. have had
has
have
having 		Verb 68 -18.02 10.5 113.65 0.8 34 2,959,248 18.37
3. do did
do
does
doing
done 		Verb 22 -14.67 6.87 54.49 0.77 18 5,173,541 10.51
4. see see
seen 		Verb 6 -10.4 2.78 20.94 0.53 5 15,551,218 3.5
5. can can Verb 12 -9.41 5.28 24.34 0.66 10 14,202,242 3.83
6. would would Verb 15 -8.97 6.08 24.86 0.72 13 6,243,426 8.71
7. go go
goes
gone
went 		Verb 11 -8.29 5.11 20 0.66 9 10,769,741 5.05
8. make made
make 		Verb 10 -8.12 4.81 18.79 0.7 10 17,782,853 3.06
9. will will
wo 		Verb 14 -8.06 5.96 21.05 0.58 7 11,337,355 4.79
10. give gave
give
given 		Verb 6 -6.24 3.34 11.1 0.6 6 17,883,783 3.04
11. take take
taken
takes
taking
took 		Verb 10 -6.18 5.08 13.11 0.7 10 8,806,728 6.17
12. come came
come
comes 		Verb 8 -5.87 4.38 11.35 0.61 7 12,151,545 4.47
13. could could Verb 10 -5.45 5.2 11.06 0.66 9 11,207,244 4.85
14. find finds
found 		Verb 5 -5.05 2.94 7.9 0.56 5 18,558,935 2.93
15. may may Verb 7 -4.61 4.16 7.81 0.58 6 30,879,997 1.76
16. use use
used
uses
using 		Verb 11 -2.89 6.01 4.52 0.68 10 9,267,112 5.87
17. work work
worked
works 		Verb 5 -2.47 3.57 2.91 0.56 5 19,489,354 2.79
18. must must Verb 6 -2.41 4.18 2.94 0.29 2 27,741,976 1.96
19. leave leave
leaving
left 		Verb 6 -1.75 4.39 1.8 0.53 5 26,875,796 2.02
20. follow follow
followed 		Verb 5 -1.18 4.03 0.91 0.48 4 15,902,817 3.42
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