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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. be 's
are
be
been
being
is
was
were
Verb 232 -44.43 13.75 755.06 0.88 77 748,770 72.6
2. do did
do
does
done
Verb 7 -41.97 1.54 109.19 0.58 6 16,878,325 3.22
3. have had
has
have
having
Verb 64 -27.19 9.86 187.45 0.83 35 2,300,147 23.63
4. say said
say
says
Verb 7 -23.84 2.29 58.28 0.63 7 11,123,271 4.89
5. get get
getting
Verb 5 -18.84 1.41 38.33 0.56 5 19,846,091 2.74
6. would would Verb 9 -18.56 3.49 49.09 0.64 8 10,925,180 4.98
7. make made
make
Verb 7 -14.88 2.89 34.01 0.58 6 15,175,924 3.58
8. can can Verb 15 -11.09 5.86 32.54 0.59 9 9,409,342 5.78
9. will will Verb 19 -8.81 6.9 26.26 0.67 12 7,510,892 7.24
10. use use
used
using
Verb 9 -5.93 4.77 11.92 0.58 7 11,461,871 4.74
11. see saw
see
seeing
seen
Verb 17 -5.8 6.91 14.21 0.72 14 6,500,891 8.36
12. look look
looked
looking
looks
Verb 8 -5.69 4.41 10.85 0.61 7 10,133,086 5.36
13. should should Verb 11 -3.96 5.78 7.22 0.5 7 13,732,267 3.96
14. must must Verb 6 -3.87 3.8 5.83 0.6 6 12,661,471 4.29
15. become became
become
becomes
Verb 7 -2.88 4.55 3.99 0.63 7 27,518,653 1.98
16. may may Verb 15 -2.57 7.08 4 0.72 13 6,866,349 7.92
17. follow follow
following
follows
Verb 5 -2.2 3.66 2.45 0.56 5 15,046,299 3.61
18. set set
Setting
Verb 5 -1.62 3.86 1.53 0.48 4 19,287,622 2.82
19. give gave
given
gives
giving
Verb 21 -1.46 8.39 1.63 0.77 18 5,804,816 9.36
20. appear appear
appeared
appears
Verb 5 -0.73 4.24 0.4 0.56 5 12,332,640 4.41
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