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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
CHISQ
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R
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. be 's
are
be
been
being
is
was
were
Verb 199 -44.02 13.23 704.58 0.86 73 795,745 68.31
2. have 've
had
has
have
having
Verb 89 -17.5 11.44 119.57 0.85 51 1,531,377 35.5
3. do did
do
does
doing
done
Verb 27 -15.3 7.53 62.05 0.8 23 4,877,454 11.15
4. see saw
see
seeing
Verb 5 -14.28 1.76 28.04 0.4 3 18,498,888 2.94
5. get get
getting
got
Verb 8 -12.21 3.59 28.53 0.66 8 10,754,471 5.05
6. can can Verb 12 -11.63 5.05 31.74 0.73 12 7,517,545 7.23
7. go go
goes
going
gone
went
Verb 10 -11.12 4.47 27.88 0.66 9 9,810,711 5.54
8. would would Verb 17 -10.03 6.4 30.02 0.76 16 5,753,134 9.45
9. could could Verb 7 -9.44 3.42 19.76 0.63 7 11,333,387 4.8
10. make made
make
makes
making
Verb 11 -9.3 4.99 23.13 0.68 10 8,760,984 6.2
11. know knew
know
knowing
known
knows
Verb 9 -8.86 4.36 20.15 0.61 7 10,290,398 5.28
12. use use
used
Verb 5 -8.57 2.37 15.35 0.48 4 22,555,768 2.41
13. say said
say
saying
says
Verb 23 -8.39 7.59 26.28 0.78 19 4,240,887 12.82
14. come came
come
comes
Verb 7 -8.27 3.57 16.77 0.58 6 19,857,255 2.74
15. should should Verb 6 -6.44 3.31 11.54 0.6 6 14,873,432 3.65
16. find find
found
Verb 6 -5.36 3.5 9.08 0.6 6 16,634,806 3.27
17. may may Verb 8 -5.13 4.51 9.44 0.51 5 21,962,731 2.48
18. will will
wo
Verb 26 -5.06 8.41 13.13 0.75 18 6,143,128 8.85
19. look look
looked
looks
Verb 9 -4.25 5.07 7.54 0.64 8 17,318,834 3.14
20. give gave
give
given
giving
Verb 13 -3.32 6.46 5.81 0.68 11 7,766,994 7
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