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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
CHISQ
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R
AWT
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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 365 -51.98 15.13 1,088.15 0.87 86 510,062 106.57
2. do did
do
does
doing
done
Verb 14 -43.41 3.96 156.32 0.71 12 9,465,684 5.74
3. have 've
had
has
have
having
Verb 95 -33.43 10.99 281.29 0.87 49 1,502,708 36.17
4. say said
say
says
Verb 9 -31.91 2.8 89.84 0.68 9 10,430,072 5.21
5. go go
goes
going
gone
Verb 6 -28.08 1.53 64.46 0.53 5 18,111,427 3
6. see saw
see
Verb 6 -22.52 1.82 50.53 0.6 6 13,374,410 4.06
7. come came
come
comes
Verb 6 -17.08 2.18 37.03 0.6 6 16,044,436 3.39
8. use use
used
using
Verb 5 -15.66 1.64 30.96 0.56 5 13,466,578 4.04
9. get get
gets
getting
got
Verb 15 -14.31 5.58 44.4 0.71 12 8,207,179 6.62
10. give give
given
giving
Verb 7 -12.99 3.05 28.86 0.58 6 16,303,863 3.33
11. would 'd
would
Verb 28 -12.97 7.83 49.96 0.73 19 4,314,057 12.6
12. can can Verb 24 -12.78 7.32 46.27 0.79 21 3,497,516 15.54
13. could could Verb 15 -9.8 5.99 27.56 0.66 10 9,255,651 5.87
14. find find
finds
found
Verb 7 -9.32 3.44 19.37 0.63 7 12,926,422 4.21
15. must must Verb 5 -8.1 2.43 14.28 0.56 5 14,599,912 3.72
16. become became
become
becomes
Verb 5 -7.54 2.52 13.07 0.56 5 12,722,929 4.27
17. may may Verb 13 -6.73 5.88 15.96 0.7 11 8,497,805 6.4
18. need need
needed
needs
Verb 8 -4.69 4.59 8.32 0.66 8 9,326,870 5.83
19. will will Verb 54 -4.33 10.84 12.05 0.81 31 2,715,297 20.02
20. mean mean
means
meant
Verb 9 -4.13 5.09 7.22 0.58 6 16,180,735 3.36
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