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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 's
are
be
been
being
is
was
were 		Verb 461 -79.7 15.46 2,020.18 0.89 87 531,206 102.33
2. do did
do
does
done 		Verb 12 -77.98 2.61 270.47 0.73 12 5,896,927 9.22
3. say said
say 		Verb 6 -65.93 0.37 159.9 0.6 6 16,281,567 3.34
4. have had
has
have
having 		Verb 119 -50.78 11.29 508.67 0.85 51 1,379,585 39.4
5. get get
getting 		Verb 7 -39.93 1.61 100.87 0.63 7 8,752,140 6.21
6. know knew
know
known 		Verb 8 -30.49 2.44 80.12 0.66 8 10,798,185 5.03
7. would 'd
would 		Verb 20 -30.09 5.69 120.06 0.75 16 6,496,567 8.37
8. see saw
see
seen 		Verb 12 -24.78 4.14 76.49 0.68 10 9,413,585 5.77
9. could could Verb 10 -23.61 3.56 66.75 0.7 10 9,049,835 6.01
10. can can Verb 27 -21.47 7.15 91.8 0.73 18 6,180,471 8.8
11. make made
make
makes
making 		Verb 22 -18.94 6.59 72.46 0.76 18 5,574,984 9.75
12. will will
wo 		Verb 32 -18.6 7.9 82.47 0.81 25 4,240,658 12.82
13. take take
taken
takes
taking
took 		Verb 17 -18.14 5.74 61.83 0.68 13 6,810,874 7.98
14. use use
used
using 		Verb 11 -15.98 4.38 44.35 0.68 10 10,092,206 5.39
15. find find
finding
found 		Verb 10 -12.85 4.3 32.9 0.64 8 18,843,484 2.88
16. should should Verb 13 -12.4 5.25 34.96 0.72 12 7,517,689 7.23
17. give gave
give
given
gives
giving 		Verb 23 -9 7.52 28.47 0.8 21 4,765,988 11.41
18. follow follow
followed
following 		Verb 5 -8.37 2.4 14.83 0.56 5 26,745,751 2.03
19. become become
becomes 		Verb 10 -7.89 4.84 17.91 0.7 10 8,653,264 6.28
20. begin began
begin
begun 		Verb 5 -7.26 2.56 12.46 0.48 4 19,118,776 2.84
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