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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
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. do did
do
does
Verb 11 -52.79 2.84 172.22 0.71 11 8,457,730 6.43
2. be 's
are
be
been
being
is
was
were
Verb 400 -51.63 15.45 1,115.21 0.89 87 520,040 104.53
3. go go
going
went
Verb 5 -33.04 0.66 70.51 0.56 5 20,637,785 2.63
4. have had
has
have
having
Verb 107 -32.57 11.43 285.1 0.86 54 1,421,064 38.25
5. will will Verb 9 -27.17 3.01 75 0.64 8 25,287,940 2.15
6. can can Verb 11 -24.23 3.86 72.26 0.68 10 9,278,096 5.86
7. come came
come
coming
Verb 5 -20.33 1.31 41.45 0.56 5 18,753,038 2.9
8. use use
used
using
Verb 5 -16.64 1.57 33.14 0.56 5 19,850,111 2.74
9. know knew
know
Knowing
known
Verb 10 -16.49 4.01 44.42 0.7 10 9,693,665 5.61
10. would would Verb 26 -14.89 7.43 57.97 0.7 16 6,511,984 8.35
11. take take
taken
takes
taking
took
Verb 13 -13.18 5.18 37.87 0.74 13 8,066,373 6.74
12. could could Verb 12 -12.66 4.95 34.89 0.62 8 10,078,690 5.39
13. may may Verb 7 -12.22 3.12 26.82 0.58 6 17,601,456 3.09
14. find find
finds
found
Verb 6 -11.19 2.69 22.67 0.6 6 13,011,532 4.18
15. should should Verb 8 -10.63 3.75 23.96 0.61 7 21,079,094 2.58
16. give gave
give
given
giving
Verb 13 -8.5 5.65 21.74 0.72 12 8,241,774 6.6
17. see see
seen
Verb 28 -6.9 8.41 21 0.52 8 13,118,830 4.14
18. provide provide
provided
provides
Verb 5 -5.6 2.84 8.98 0.56 5 17,308,868 3.14
19. leave leave
leaves
leaving
left
Verb 8 -4.63 4.6 8.17 0.66 8 11,366,902 4.78
20. bring bringing
brought
Verb 5 -4.38 3.08 6.5 0.48 4 18,724,893 2.9
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