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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
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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 414 -37.04 15.89 728.86 0.91 90 450,192 120.75
2. do did
do
does
Verb 24 -26.06 6.51 112.35 0.78 19 4,850,496 11.21
3. go go
gone
went
Verb 6 -23.8 1.75 53.85 0.6 6 27,105,502 2.01
4. say said
say
saying
says
Verb 17 -17.72 5.77 60.83 0.72 13 12,020,422 4.52
5. would would Verb 15 -17.58 5.34 57.17 0.69 12 6,383,004 8.52
6. get get
gets
got
Verb 14 -12.44 5.5 36.43 0.71 12 9,074,328 5.99
7. look look
looked
looking
Verb 5 -11.61 2.01 21.98 0.56 5 17,056,869 3.19
8. know know
known
Verb 12 -11.16 5.09 29.94 0.7 11 7,698,966 7.06
9. will will Verb 22 -11.04 7.17 37.12 0.74 16 5,747,011 9.46
10. make made
make
Verb 16 -10.89 6.1 32.43 0.74 14 6,167,053 8.81
11. use use
used
using
Verb 9 -8.47 4.41 18.95 0.64 8 12,939,997 4.2
12. take take
taken
taking
took
Verb 18 -7.39 6.89 20.19 0.74 16 6,173,406 8.81
13. see saw
see
seeing
seen
Verb 20 -7.29 7.25 20.51 0.69 15 7,399,364 7.35
14. can ca
can
Verb 34 -6.94 9.04 22.48 0.81 27 6,408,123 8.48
15. come came
come
comes
coming
Verb 15 -6.74 6.36 16.79 0.69 12 5,749,595 9.45
16. could could Verb 18 -6.49 7 16.86 0.77 17 4,694,125 11.58
17. have 'd
've
had
has
have
having
Verb 259 -6.39 15.55 32.56 0.9 79 684,196 79.45
18. work work
worked
working
Verb 5 -5.62 2.83 9.04 0.48 4 24,226,128 2.24
19. want want
wanted
wanting
wants
Verb 9 -5.29 4.87 10.21 0.58 7 13,001,257 4.18
20. must must Verb 7 -4.87 4.11 8.39 0.63 7 14,598,679 3.72
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