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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 667 -64.59 16.96 1,785.8 0.9 97 329,385 165.03
2. do did
do
does
done
Verb 27 -53.17 6.02 263.21 0.78 20 4,895,779 11.1
3. say said
say
saying
says
Verb 13 -46.33 3.61 159.17 0.72 12 12,212,920 4.45
4. have 'd
've
had
has
have
having
Verb 243 -30.82 14.28 355.92 0.89 81 732,588 74.2
5. know knew
know
known
Verb 9 -30.77 2.85 85.38 0.64 8 12,848,555 4.23
6. give give
gives
giving
Verb 5 -29.58 0.81 62.15 0.56 5 17,714,770 3.07
7. take take
taken
takes
taking
took
Verb 13 -23.76 4.48 75.48 0.74 13 9,133,852 5.95
8. come came
come
comes
coming
Verb 11 -21.48 4.02 62.47 0.55 7 12,278,067 4.43
9. look look
looked
looking
looks
Verb 7 -20.76 2.47 49.18 0.63 7 10,478,267 5.19
10. go go
goes
going
gone
went
Verb 26 -20.12 7.09 83.4 0.78 21 4,609,685 11.79
11. want want
wanted
Verb 6 -17.86 2.12 38.77 0.53 5 13,302,877 4.09
12. can ca
can
Verb 44 -15.82 9.16 75.58 0.82 33 2,290,896 23.73
13. will will Verb 45 -15.28 9.27 72.82 0.79 27 2,757,540 19.71
14. may may Verb 13 -14.17 5.1 41.12 0.7 11 8,741,643 6.22
15. would 'd
would
Verb 59 -13.95 10.27 70.83 0.64 24 4,005,912 13.57
16. use use
used
using
Verb 20 -10.91 6.86 34.98 0.71 14 7,141,223 7.61
17. provide provide
provided
providing
Verb 5 -10.53 2.13 19.51 0.56 5 16,847,507 3.23
18. see saw
see
seen
sees
Verb 41 -10.02 9.36 39.77 0.83 32 3,054,602 17.8
19. seem seem
seemed
seems
Verb 8 -9.18 3.91 19.96 0.51 5 15,311,856 3.55
20. show show
showed
showing
shown
shows
Verb 8 -8.95 3.94 19.34 0.57 6 11,732,168 4.63
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