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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. have 've
had
has
have
having
Verb 38 -22.9 8.26 124.04 0.82 29 3,634,525 14.96
2. be 're
's
are
be
been
being
is
was
were
Verb 268 -18.96 15.02 249.49 0.89 83 615,585 88.31
3. do do
doing
done
Verb 16 -14.78 5.77 48.64 0.74 14 7,445,680 7.3
4. would would Verb 9 -10.72 4.15 25.74 0.64 8 16,577,976 3.28
5. go go
goes
going
Verb 6 -10.55 2.76 21.37 0.53 5 22,220,482 2.45
6. take take
taken
taking
took
Verb 6 -7.53 3.14 14.11 0.43 4 30,258,237 1.8
7. make made
make
making
Verb 10 -6.17 5.08 13.12 0.66 9 10,976,251 4.95
8. will will Verb 14 -6.02 6.23 14.2 0.69 11 10,848,990 5.01
9. come came
come
comes
coming
Verb 8 -4.37 4.65 7.6 0.66 8 12,879,555 4.22
10. can can Verb 20 -3.78 7.76 7.9 0.75 17 7,235,871 7.51
11. give gave
give
given
gives
giving
Verb 10 -2.41 5.83 3.33 0.64 8 8,742,662 6.22
12. become became
become
Verb 6 -1.35 4.54 1.18 0.53 5 18,868,803 2.88
13. work work
working
works
Verb 7 -0.64 5.3 0.34 0.58 6 13,718,970 3.96
14. keep keep
keeps
kept
Verb 6 -0.34 4.98 0.1 0.6 6 15,550,131 3.5
15. help help
helps
Verb 5 -0.31 4.46 0.09 0.48 4 23,720,324 2.29
16. may may Verb 15 -0.23 7.73 0.05 0.71 12 9,939,311 5.47
17. lead lead
leads
Verb 5 0.18 4.77 0.04 0.56 5 22,866,401 2.38
18. follow follow
following
follows
Verb 7 0.26 5.76 0.07 0.26 3 19,211,607 2.83
19. change change
changed
Verb 6 0.93 5.86 1.39 0.6 6 13,687,190 3.97
20. need need
needed
needs
Verb 13 1.09 7.92 1.73 0.72 12 9,644,035 5.64
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