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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 265 -52.8 14.01 984.25 0.82 69 850,218 63.94
2. have 've
had
has
have
having 		Verb 57 -38.6 9.05 271.77 0.83 35 2,663,342 20.41
3. do did
do
does
done 		Verb 21 -27.29 5.99 111.94 0.67 16 6,341,043 8.57
4. go goes
going
went 		Verb 5 -25.45 1.01 53.31 0.56 5 20,456,127 2.66
5. get get
got 		Verb 5 -23.84 1.1 49.61 0.56 5 16,740,120 3.25
6. take take
taken 		Verb 6 -16.95 2.18 36.8 0.6 6 23,069,102 2.36
7. could could Verb 6 -15.45 2.3 33.09 0.6 6 10,883,767 4.99
8. would would Verb 18 -14.62 6.19 49.25 0.69 12 8,567,682 6.34
9. can can Verb 16 -13.93 5.84 44.24 0.66 10 11,195,320 4.86
10. say said
say
saying
says 		Verb 24 -12.8 7.32 46.56 0.69 13 5,545,194 9.8
11. come came
come
comes
coming 		Verb 9 -10.2 4.2 23.93 0.64 8 12,094,860 4.49
12. make made
make
makes
making 		Verb 17 -9.79 6.42 28.91 0.66 11 13,493,391 4.03
13. look look Verb 6 -9.73 2.86 19.2 0.43 4 16,723,766 3.25
14. will will Verb 24 -9.6 7.6 31.83 0.71 14 7,410,643 7.34
15. use use
used
using 		Verb 8 -8.89 3.95 19.26 0.57 6 14,613,491 3.72
16. find find
found 		Verb 6 -8.25 3.04 15.72 0.53 5 24,025,146 2.26
17. may may Verb 13 -4.95 6.15 10.44 0.7 11 9,250,743 5.88
18. give gave
give
given
gives
giving 		Verb 16 -4.56 6.9 9.83 0.69 12 7,494,893 7.25
19. should should Verb 18 -2.8 7.61 4.76 0.69 12 8,018,096 6.78
20. move Move
moving 		Verb 5 -2.35 3.61 2.71 0.4 3 20,769,694 2.62
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