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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 'm
're
's
are
be
been
being
is
was
were 		Verb 355 -51.32 15.05 1,059.69 0.91 85 523,806 103.78
2. do do
does
doing
done 		Verb 11 -48.45 2.95 157.25 0.66 9 9,368,497 5.8
3. have 've
had
has
have
having 		Verb 110 -28.56 11.67 244.34 0.83 53 1,499,357 36.26
4. say said
say
says 		Verb 13 -24.67 4.43 79.66 0.7 11 7,557,530 7.19
5. know know Verb 5 -23.41 1.12 48.5 0.56 5 13,553,581 4.01
6. go go
going
gone
went 		Verb 10 -19.85 3.78 55.19 0.66 9 10,041,488 5.41
7. see saw
see
sees 		Verb 8 -18.22 3.1 45.31 0.54 6 14,323,760 3.8
8. can can Verb 19 -14.98 6.35 51.71 0.75 17 6,272,654 8.67
9. would 'd
would 		Verb 25 -13.81 7.38 51.96 0.8 22 4,596,934 11.83
10. could could Verb 10 -13.13 4.28 33.92 0.66 9 10,812,518 5.03
11. find find
found 		Verb 5 -11.55 2.02 21.81 0.56 5 17,352,649 3.13
12. come came
come
comes
coming 		Verb 11 -10.72 4.84 27.48 0.68 10 12,603,078 4.31
13. get get
gets
getting
got 		Verb 21 -10.38 7.08 33.57 0.78 19 3,950,043 13.76
14. will will Verb 29 -10.12 8.19 36.36 0.78 22 4,626,660 11.75
15. should should Verb 8 -9.59 3.87 21.13 0.66 8 14,596,901 3.72
16. take take
taken
takes
took 		Verb 17 -9.42 6.46 27.42 0.75 15 11,240,337 4.84
17. give gave
give
given
gives 		Verb 11 -8.83 5.05 21.5 0.64 8 12,296,989 4.42
18. may may Verb 10 -8.31 4.78 19.22 0.61 7 13,555,468 4.01
19. put put Verb 5 -7.51 2.52 13.02 0.56 5 19,066,817 2.85
20. use use
used
using 		Verb 13 -7.2 5.82 17.47 0.68 10 8,102,787 6.71
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