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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
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. be 'm
're
's
am
are
be
been
being
is
was
were
Verb 575 -90.34 16.08 2,565.78 0.91 97 361,230 150.48
2. know know
knowing
known
Verb 8 -39.22 2.11 105.05 0.61 7 15,572,174 3.49
3. can can Verb 17 -38.28 4.81 145.68 0.7 12 8,235,266 6.6
4. do did
do
does
doing
done
Verb 70 -34.19 9.91 240.35 0.74 30 4,342,423 12.52
5. see saw
see
seeing
seen
Verb 15 -28.01 4.77 96.8 0.69 12 7,934,492 6.85
6. will will
wo
Verb 34 -23.87 7.83 114.34 0.8 26 3,637,122 14.95
7. think think
thought
Verb 13 -22.98 4.52 72.52 0.72 12 7,598,321 7.15
8. look look
looked
looking
looks
Verb 8 -22.87 2.82 58.13 0.61 7 15,628,762 3.48
9. should should Verb 9 -21.28 3.32 56.47 0.58 7 12,009,976 4.53
10. say said
Say
saying
says
Verb 55 -21.09 9.62 118.82 0.85 38 2,282,502 23.82
11. could could Verb 19 -20.16 6 73.23 0.77 17 6,205,061 8.76
12. find find
found
Verb 8 -19.77 3 49.34 0.51 5 14,254,434 3.81
13. have 'd
've
had
has
have
having
Verb 449 -18.89 16.7 210.48 0.86 84 593,185 91.64
14. would 'd
would
Verb 63 -16.64 10.32 91.64 0.85 41 1,900,017 28.61
15. tell tell
telling
tells
told
Verb 8 -14.46 3.39 34.44 0.66 8 8,345,097 6.51
16. go go
goes
going
gone
went
Verb 50 -14.27 9.69 68.8 0.8 34 2,840,779 19.14
17. use use
used
uses
using
Verb 19 -14.17 6.41 47.74 0.67 13 11,778,800 4.62
18. mean mean
means
meant
Verb 8 -12.44 3.57 28.84 0.66 8 17,011,545 3.2
19. need need
needing
Verb 9 -11.31 4.09 26.97 0.64 8 8,217,951 6.61
20. turn turn
turned
turning
Verb 5 -10.83 2.1 20.16 0.56 5 16,993,712 3.2
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