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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 267 -31.36 14.58 504.74 0.87 79 745,643 72.9
2. do did
do
does
done
Verb 9 -30.75 2.85 87.85 0.61 7 13,079,593 4.16
3. have had
has
have
having
Verb 78 -18.51 10.94 123.42 0.8 35 2,927,864 18.57
4. get get
got
Verb 5 -15.84 1.63 31.59 0.56 5 24,592,451 2.21
5. know knew
know
known
Verb 5 -12.89 1.89 24.92 0.56 5 17,262,305 3.15
6. can can Verb 10 -12.56 4.33 32.42 0.37 5 21,092,645 2.58
7. make made
make
making
Verb 8 -11.23 3.69 25.82 0.61 7 10,798,540 5.03
8. say said Verb 17 -10.45 6.35 31.73 0.75 15 7,516,663 7.23
9. could could Verb 6 -9.95 2.83 19.83 0.53 5 12,010,071 4.53
10. would 'd
would
Verb 19 -8.37 6.95 24.56 0.7 14 6,895,804 7.88
11. give gave
given
giving
Verb 6 -7.24 3.19 13.4 0.53 5 14,010,853 3.88
12. come came
come
comes
Verb 8 -6.88 4.22 13.95 0.66 8 11,280,236 4.82
13. see saw
see
seeing
seen
Verb 13 -6.13 5.97 14.14 0.68 11 14,900,152 3.65
14. should should Verb 6 -6 3.38 10.54 0.6 6 14,418,515 3.77
15. may may Verb 7 -5.44 4 9.77 0.49 5 16,601,984 3.27
16. use use
used
using
Verb 9 -4.66 4.99 8.58 0.64 8 10,961,704 4.96
17. go go
goes
going
gone
went
Verb 23 -4.15 8.15 9.42 0.72 17 5,455,188 9.96
18. will will Verb 29 -3.76 8.95 8.5 0.54 11 12,568,739 4.32
19. provide provide
provided
providing
Verb 5 -2.02 3.71 2.16 0.56 5 30,467,314 1.78
20. like like
liked
Verb 5 -1.19 4.03 0.93 0.56 5 16,164,465 3.36
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