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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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MI3
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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 378 -52.58 15.24 1,118.36 0.9 94 431,806 125.89
2. do did
do
does
doing
Verb 16 -41.47 4.49 158.18 0.75 15 5,219,445 10.41
3. go go
went
Verb 6 -29.03 1.49 66.82 0.6 6 27,908,434 1.95
4. say said
say
says
Verb 12 -27.71 4 87.59 0.58 8 9,538,484 5.7
5. have 've
had
has
have
having
Verb 127 -27.23 12.2 242.05 0.86 58 1,305,287 41.65
6. get get
getting
got
Verb 11 -18.58 4.2 53.22 0.71 11 8,430,939 6.45
7. can ca
can
Verb 16 -18.33 5.52 61.51 0.74 14 7,707,635 7.05
8. would would Verb 23 -15.98 6.93 60.41 0.75 17 5,358,714 10.14
9. will will Verb 20 -15.31 6.5 54.15 0.76 17 6,044,558 8.99
10. see saw
see
seen
Verb 12 -14.74 4.78 42 0.62 8 14,703,580 3.7
11. come came
come
comes
coming
Verb 11 -11.55 4.75 30.13 0.68 10 13,167,263 4.13
12. tell tell
told
Verb 5 -8.94 2.32 16.08 0.48 4 30,058,066 1.81
13. must must Verb 5 -8.42 2.39 14.97 0.56 5 16,253,495 3.34
14. may may Verb 11 -8.27 5.11 19.77 0.68 10 11,490,222 4.73
15. become become
becomes
becoming
Verb 5 -7.84 2.47 13.72 0.48 4 19,426,031 2.8
16. could could Verb 21 -7.33 7.41 20.94 0.77 18 5,799,665 9.37
17. leave leave
leaving
left
Verb 5 -6.98 2.6 11.89 0.56 5 18,567,889 2.93
18. take take
taken
taking
took
Verb 27 -6.19 8.38 17.74 0.76 20 6,574,222 8.27
19. work work
works
Verb 6 -6.15 3.36 10.84 0.6 6 18,288,614 2.97
20. put put Verb 7 -6.08 3.89 11.28 0.49 5 20,562,518 2.64
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