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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 do
does
Verb 8 -53.1 1.69 149.07 0.66 8 13,389,113 4.06
2. be 're
are
be
been
being
is
was
were
Verb 393 -41.61 15.61 837.09 0.87 81 575,376 94.48
3. say said
says
Verb 6 -35.89 1.2 84.49 0.53 5 37,475,283 1.45
4. go go
going
went
Verb 5 -27.75 0.9 58.52 0.56 5 16,461,339 3.3
5. have had
has
have
having
Verb 100 -27.73 11.37 227.3 0.75 43 1,986,446 27.37
6. can can Verb 11 -20.1 4.1 58.5 0.68 10 9,648,331 5.63
7. make made
make
Verb 8 -19.14 3.04 48 0.61 7 15,050,963 3.61
8. come came
comes
coming
Verb 6 -15.06 2.33 32.11 0.53 5 18,949,152 2.87
9. could could Verb 9 -12.82 3.94 31.6 0.64 8 9,372,587 5.8
10. will will Verb 21 -12.21 6.91 41.56 0.73 15 5,797,204 9.38
11. see see
seeing
sees
Verb 14 -10.92 5.64 30.9 0.58 9 11,579,673 4.69
12. should should Verb 8 -8.61 3.98 18.5 0.66 8 11,164,033 4.87
13. give gave
give
given
gives
Verb 10 -8.57 4.75 20 0.66 9 9,822,190 5.53
14. would would Verb 36 -8.44 9.07 30.35 0.73 23 3,659,211 14.86
15. use use
used
using
Verb 11 -7.5 5.21 17.43 0.68 10 10,554,709 5.15
16. may may Verb 10 -7.41 4.9 16.57 0.58 7 29,348,173 1.85
17. must must Verb 5 -7.03 2.59 12.01 0.56 5 16,347,065 3.33
18. show show
shown
Verb 6 -4.64 3.64 7.49 0.6 6 17,486,847 3.11
19. leave leave
leaving
left
Verb 7 -4.13 4.26 6.7 0.53 5 16,813,299 3.23
20. call call
called
Verb 6 -3.81 3.82 5.7 0.6 6 15,511,703 3.5
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