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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. do did
do
does
done
Verb 12 -44.89 3.37 150.94 0.73 12 6,537,775 8.31
2. be 're
's
are
be
been
being
is
was
were
Verb 426 -41.84 15.87 866.61 0.85 76 704,863 77.12
3. can can Verb 11 -21.49 4.02 63.09 0.59 7 12,593,834 4.32
4. go go
goes
going
gone
went
Verb 14 -15.24 5.27 46.64 0.65 9 9,170,141 5.93
5. use use
used
using
Verb 5 -14.76 1.72 28.95 0.56 5 21,896,985 2.48
6. give gave
given
giving
Verb 6 -13.59 2.46 28.5 0.43 4 15,684,556 3.47
7. get get
gets
getting
got
Verb 15 -13.4 5.66 40.96 0.71 12 9,043,436 6.01
8. would would Verb 25 -13.35 7.41 49.78 0.74 16 4,827,433 11.26
9. see see
seen
sees
Verb 14 -11.78 5.56 33.98 0.71 12 11,024,278 4.93
10. say said
say
saying
says
Verb 33 -11.57 8.5 45.58 0.78 22 4,871,841 11.16
11. make made
make
makes
Verb 18 -11.27 6.47 35.34 0.73 14 6,260,000 8.68
12. could could Verb 14 -9.69 5.77 26.52 0.71 12 12,802,267 4.25
13. take take
taken
takes
Taking
took
Verb 21 -7.31 7.41 20.88 0.72 15 6,388,109 8.51
14. will will
wo
Verb 39 -6.8 9.51 22.63 0.81 28 3,056,803 17.78
15. should should Verb 12 -6.43 5.66 14.6 0.7 11 7,326,321 7.42
16. might might Verb 5 -6.06 2.75 9.96 0.48 4 20,451,888 2.66
17. have 've
Had
has
have
having
Verb 311 -5.02 16.2 21.9 0.84 64 882,823 61.57
18. put put
putting
Verb 8 -4.69 4.59 8.33 0.61 7 12,074,225 4.5
19. feel feel
feeling
felt
Verb 8 -3.58 4.82 5.67 0.61 7 10,056,111 5.41
20. come came
come
comes
coming
Verb 33 -2.16 9.63 3.44 0.75 21 5,795,904 9.38
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