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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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Part of speech:
Collocate's part of speech:
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TTEST
MI3
CHISQ
JD
R
AWT
fAWT
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. be are
be
been
being
is
was
were
Verb 145 -27.21 12.66 340.26 0.71 33 3,495,774 15.55
2. do did
do
does
done
Verb 7 -20.56 2.48 50.37 0.45 4 17,241,907 3.15
3. have had
has
have
having
Verb 32 -20.23 7.81 99.71 0.71 18 4,839,495 11.23
4. can can Verb 7 -8.75 3.51 18.16 0.58 6 14,407,625 3.77
5. make made
make
making
Verb 6 -7.4 3.16 13.85 0.53 5 15,172,977 3.58
6. see seen
sees
Verb 5 -7.28 2.55 12.65 0.34 3 19,481,288 2.79
7. will will Verb 13 -4.68 6.2 9.73 0.64 9 9,025,267 6.02
8. take take
taken
takes
taking
took
Verb 8 -4.23 4.68 7.28 0.66 8 11,629,835 4.67
9. give given
giving
Verb 6 -3.43 3.91 4.95 0.53 5 19,199,483 2.83
10. become became
become
becomes
becoming
Verb 5 -1.16 4.04 0.9 0.56 5 24,678,516 2.2
11. must must Verb 6 -0.83 4.75 0.52 0.6 6 20,085,232 2.71
12. produce produce
produced
produces
Verb 5 0.7 5.18 0.71 0.56 5 18,126,353 3
13. remain remain
remained
remaining
Verb 5 0.9 5.39 1.35 0.56 5 18,750,007 2.9
14. apply applied
apply
Verb 5 1.25 5.82 3.54 0.34 3 18,645,670 2.92
15. occur occur
occurred
occurs
Verb 5 1.44 6.13 5.83 0.48 4 24,908,234 2.18
16. may may Verb 20 1.57 9.27 3.84 0.6 10 9,289,493 5.85
17. obtain obtain
obtained
Verb 5 1.58 6.42 8.6 0.56 5 15,698,332 3.46
18. cause cause
causes
causing
Verb 7 1.76 7.2 9.37 0.58 6 15,056,378 3.61
19. follow follow
following
Verb 12 1.97 8.39 9.1 0.6 7 16,158,256 3.36
20. reduce reduce
reduced
reducing
Verb 8 2.11 7.99 17.72 0.42 4 26,423,563 2.06
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