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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
being
is
was
were 		Verb 495 -31.46 16.63 614.28 0.89 95 415,284 130.9
2. do did
do
does
doing
done 		Verb 23 -27.57 6.29 117.74 0.73 16 4,535,103 11.99
3. have 've
had
has
have 		Verb 100 -27.02 11.4 219.95 0.89 59 1,242,927 43.74
4. say said
say
says 		Verb 10 -25.98 3.44 75.18 0.7 10 14,410,724 3.77
5. see see
seen 		Verb 6 -19.52 2 43.15 0.6 6 14,303,589 3.8
6. would would Verb 15 -18.08 5.31 59.09 0.74 14 6,658,883 8.16
7. can can Verb 17 -14.36 6.01 47.02 0.72 14 6,238,155 8.71
8. come came
come
comes 		Verb 8 -12.05 3.6 27.94 0.61 7 19,430,916 2.8
9. will will
wo 		Verb 22 -11.41 7.14 38.73 0.77 18 5,104,132 10.65
10. could could Verb 12 -9.98 5.21 26.02 0.68 10 11,145,926 4.88
11. find find
finds
found 		Verb 6 -8.93 2.95 17.29 0.6 6 23,910,500 2.27
12. get get
getting
Got 		Verb 23 -8.13 7.62 24.94 0.76 18 4,644,072 11.71
13. must must Verb 5 -6.86 2.62 11.64 0.56 5 16,515,379 3.29
14. mean mean
means
meant 		Verb 5 -6.18 2.73 10.21 0.56 5 29,153,059 1.86
15. may may Verb 16 -4.2 6.96 8.68 0.71 13 8,919,801 6.09
16. should should Verb 17 -3.58 7.27 6.91 0.62 9 22,282,029 2.44
17. allow allow
allowed
allows 		Verb 5 -2.13 3.68 2.32 0.48 4 27,942,116 1.95
18. use use
used
uses
using 		Verb 31 -0.76 9.72 0.51 0.72 19 6,477,774 8.39
19. send send
sending
Sent 		Verb 6 -0.42 4.94 0.15 0.43 4 28,298,113 1.92
20. increase increase
increased
increasing 		Verb 5 -0.24 4.5 0.05 0.56 5 16,134,176 3.37
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