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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
does
done 		Verb 16 -45.56 4.37 175.17 0.74 14 6,789,488 8.01
2. be 'm
're
's
am
are
be
been
being
is
was
were 		Verb 566 -40.37 16.86 905.36 0.9 89 385,871 140.87
3. say said
say
saying
says 		Verb 10 -34.06 3.09 101.18 0.7 10 10,123,712 5.37
4. get get
gets
got 		Verb 8 -25.16 2.69 65.11 0.66 8 12,912,750 4.21
5. go go
going
gone
went 		Verb 11 -22.02 3.99 64.69 0.68 10 9,003,859 6.04
6. can can Verb 16 -20.34 5.39 69.48 0.72 13 7,076,076 7.68
7. have 've
had
has
have
having 		Verb 193 -20.15 13.89 184.76 0.89 69 923,222 58.88
8. give given
giving 		Verb 6 -16.53 2.22 35.65 0.6 6 12,103,404 4.49
9. take take
taken
takes
taking
took 		Verb 12 -15.15 4.74 43.35 0.68 10 10,518,262 5.17
10. use use
used
using 		Verb 7 -14.35 2.93 32.39 0.63 7 13,458,561 4.04
11. would 'd
would 		Verb 35 -12.44 8.62 51.12 0.78 24 3,765,931 14.43
12. want want
wanted 		Verb 5 -12.31 1.94 23.46 0.56 5 11,896,279 4.57
13. will will
wo 		Verb 36 -10.07 8.92 38.7 0.69 22 5,227,610 10.4
14. come came
come
comes
coming 		Verb 16 -9.44 6.25 26.84 0.66 11 8,324,566 6.53
15. should should Verb 11 -8.91 5.04 21.73 0.66 9 9,026,529 6.02
16. tell tell
telling
tells
told 		Verb 6 -8.67 2.99 16.65 0.6 6 13,860,804 3.92
17. mean mean
meant 		Verb 5 -8.52 2.38 15.17 0.56 5 15,692,921 3.46
18. know know
KNOWING
known 		Verb 26 -7.89 8.05 24.8 0.77 20 3,999,335 13.59
19. see saw
see
seeing
seen 		Verb 29 -7.38 8.47 23.34 0.76 22 4,203,751 12.93
20. may may Verb 15 -6.94 6.33 17.43 0.65 11 8,591,163 6.33
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