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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 did
do
does
doing
Verb 10 -43.16 2.77 132.95 0.52 6 15,078,139 3.61
2. be 're
's
are
be
been
being
is
was
were
Verb 366 -39.82 15.41 770.97 0.59 37 2,408,618 22.57
3. have had
has
have
Verb 65 -35.28 9.62 258.17 0.7 22 3,939,226 13.8
4. would would Verb 12 -19.7 4.43 59.47 0.62 8 12,944,142 4.2
5. go go
goes
going
Verb 10 -16.47 4.01 44.53 0.49 5 16,832,059 3.23
6. could could Verb 6 -15.5 2.3 33.22 0.53 5 23,284,430 2.33
7. take take
taken
taking
Verb 8 -14.02 3.43 33.47 0.66 8 11,185,167 4.86
8. see See
seen
sees
Verb 10 -12.9 4.3 33.27 0.48 5 17,321,990 3.14
9. give give
gives
giving
Verb 7 -10.34 3.32 22.01 0.49 5 25,529,244 2.13
10. come comes Verb 9 -10.24 4.2 24.04 0.36 3 30,180,970 1.8
11. get Get
gets
got
Verb 18 -9.54 6.64 28.52 0.51 9 10,506,317 5.17
12. make made
make
makes
making
Verb 19 -8.84 6.9 26.27 0.67 12 13,836,658 3.93
13. can ca
can
Verb 33 -6.78 8.96 21.54 0.69 18 5,190,016 10.47
14. may may Verb 11 -6.02 5.43 12.98 0.57 8 16,546,030 3.29
15. find find
finding
found
Verb 9 -5.77 4.79 11.47 0.55 6 19,807,688 2.74
16. will will Verb 37 -5.63 9.47 16.82 0.7 15 6,551,561 8.3
17. should should Verb 12 -5.19 5.85 10.87 0.64 8 10,026,372 5.42
18. work work
working
works
Verb 6 -4.48 3.67 7.13 0.53 5 22,712,776 2.39
19. provide provided
provides
providing
Verb 6 -3.18 3.97 4.42 0.53 5 22,845,845 2.38
20. become become
becoming
Verb 9 -3.05 5.33 4.63 0.55 6 21,580,613 2.52
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