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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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TTEST
MI3
CHISQ
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R
AWT
fAWT
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. be 's
am
are
be
been
being
is
was
were
Verb 250 -32.9 14.31 526.29 0.84 63 1,158,047 46.94
2. do did
do
does
Verb 8 -32.54 2.36 88.51 0.61 7 8,960,606 6.07
3. have 'd
had
has
have
having
Verb 64 -21.83 10.1 142.48 0.83 41 2,615,384 20.78
4. would would Verb 8 -16.55 3.22 40.95 0.66 8 17,948,318 3.03
5. go go
goes
going
went
Verb 7 -13.38 3.02 30.12 0.63 7 12,162,969 4.47
6. make made
make
makes
Verb 8 -11.06 3.7 25.36 0.66 8 11,407,761 4.77
7. will will Verb 12 -10.58 5.15 28.21 0.58 8 16,915,854 3.21
8. come came
come
coming
Verb 5 -9.89 2.2 18.26 0.56 5 23,438,597 2.32
9. give give
given
giving
Verb 5 -8.26 2.41 14.68 0.56 5 33,553,590 1.62
10. could could Verb 8 -7.79 4.09 16.37 0.66 8 9,116,021 5.96
11. can can Verb 21 -6.14 7.56 16.45 0.54 9 11,033,705 4.93
12. take take
taken
taking
took
Verb 12 -5.93 5.73 13.15 0.7 11 11,655,986 4.66
13. use use
used
using
Verb 11 -3.53 5.87 6.09 0.68 10 16,098,356 3.38
14. show show
showed
showing
shows
Verb 6 -2.04 4.3 2.28 0.53 5 14,467,608 3.76
15. need need
needed
Verb 7 -1.91 4.83 2.13 0.63 7 16,383,406 3.32
16. bring bring
bringing
brought
Verb 5 -1.32 3.98 1.1 0.56 5 12,043,497 4.51
17. may may Verb 16 -1.28 7.6 1.26 0.52 9 10,089,675 5.39
18. become became
become
becomes
becoming
Verb 10 -0.76 6.33 0.46 0.61 8 10,783,753 5.04
19. allow allow
allowed
allows
Verb 5 -0.57 4.31 0.26 0.56 5 18,462,296 2.94
20. create create
created
creating
Verb 5 0.44 4.96 0.24 0.56 5 19,255,782 2.82
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