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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 252 -53.2 13.83 974.56 0.89 76 743,432 73.12
2. have 'd
've
had
has
have
having 		Verb 64 -34.47 9.59 249.56 0.82 36 2,952,184 18.41
3. go going
went 		Verb 5 -24.76 1.05 51.75 0.56 5 18,995,367 2.86
4. would 'd
would 		Verb 8 -24.76 2.71 64.39 0.66 8 11,778,214 4.62
5. say said
say
says 		Verb 10 -23.58 3.56 67.49 0.66 9 8,879,929 6.12
6. can can Verb 11 -17.77 4.25 50.76 0.55 7 24,670,623 2.2
7. see saw
see
seeing
seen 		Verb 8 -14.63 3.37 35.22 0.66 8 9,598,614 5.66
8. give gave
give
given
gives 		Verb 6 -11.19 2.69 22.72 0.53 5 11,496,267 4.73
9. take take
takes
taking
took 		Verb 11 -10.65 4.84 27.34 0.66 9 16,008,378 3.4
10. will will
wo 		Verb 21 -10.54 7.06 34.37 0.66 12 8,024,176 6.77
11. could could Verb 10 -10.35 4.55 25.42 0.7 10 7,105,134 7.65
12. look look
looked
looking 		Verb 6 -9.42 2.89 18.49 0.6 6 20,199,236 2.69
13. find found Verb 5 -9.2 2.29 16.68 0.56 5 16,133,747 3.37
14. get get
gets
getting
got 		Verb 18 -9.16 6.68 27.04 0.7 14 5,411,323 10.05
15. may may Verb 7 -8.73 3.51 17.89 0.58 6 18,451,527 2.95
16. make made
make
makes
making 		Verb 24 -6.52 7.95 18.56 0.8 22 6,761,001 8.04
17. 'll 'll Verb 5 -6.03 2.76 9.89 0.17 2 28,494,614 1.91
18. need need
needed
needs 		Verb 6 -4.56 3.65 7.31 0.6 6 14,353,078 3.79
19. use use
used
uses
using 		Verb 16 -4.08 6.99 8.32 0.69 11 13,555,488 4.01
20. provide provide
provided 		Verb 6 -3.02 4.01 4.11 0.6 6 15,539,228 3.5
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