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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
JD
R
AWT
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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 188 -18.24 13.89 213.86 0.72 40 2,301,463 23.62
2. have 've
had
has
have
having
Verb 50 -12.12 9.85 60.37 0.69 20 5,431,103 10.01
3. do did
do
does
doing
Verb 22 -7.44 7.55 22.38 0.55 8 9,984,322 5.44
4. would would Verb 11 -6.08 5.42 13.37 0.68 10 11,772,399 4.62
5. take take
takes
taking
Verb 5 -6.04 2.76 10 0.56 5 23,025,068 2.36
6. could could Verb 5 -5.4 2.87 8.65 0.56 5 14,606,211 3.72
7. come come
comes
Verb 5 -4.66 3.02 7.13 0.48 4 16,366,138 3.32
8. know know
knows
Verb 9 -3.34 5.26 5.35 0.58 6 23,608,229 2.3
9. want want
wants
Verb 5 -1.94 3.74 2.03 0.48 4 20,085,257 2.71
10. see saw
see
seen
sees
Verb 13 -1.87 6.8 2.33 0.66 10 10,441,499 5.21
11. use use
used
uses
using
Verb 8 -1.74 5.31 1.89 0.57 6 10,336,507 5.26
12. make make
makes
making
Verb 16 -1.59 7.52 1.84 0.6 9 17,560,841 3.1
13. become become Verb 6 -0.43 4.94 0.16 0.38 3 21,833,989 2.49
14. might might Verb 6 -0.12 5.1 0.01 0.53 5 14,103,630 3.85
15. work work
working
works
Verb 7 0.15 5.7 0.03 0.29 2 29,144,695 1.87
16. bring bring
brings
Verb 5 0.21 4.79 0.05 0.4 3 27,151,826 2
17. will will
wo
Verb 31 0.6 10.07 0.41 0.59 14 5,967,174 9.11
18. hear hear
Hearing
hears
Verb 5 0.61 5.11 0.52 0.48 4 20,092,742 2.71
19. give give
given
gives
giving
Verb 17 0.89 8.52 1.01 0.46 5 23,359,151 2.33
20. require require
required
requires
Verb 5 0.89 5.38 1.33 0.48 4 19,585,256 2.78
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