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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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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. have 'd
've
had
has
have
having
Verb 133 -63.26 11.41 688.41 0.89 64 1,063,761 51.1
2. think think
thought
Verb 5 -41.31 0.36 88.71 0.56 5 20,947,749 2.6
3. do did
do
does
done
Verb 58 -39.87 9.08 266.61 0.86 42 2,413,324 22.52
4. use use
used
using
Verb 7 -28.36 2.06 69.36 0.58 6 15,853,526 3.43
5. would 'd
would
Verb 38 -25.97 8.11 132.63 0.77 25 3,637,230 14.95
6. be 'm
're
's
am
are
be
been
being
is
was
were
Verb 1,749 -24.75 20.87 576.8 0.94 100 125,363 433.62
7. will will Verb 35 -23.82 7.93 115.36 0.85 32 3,797,234 14.32
8. look look
Looking
looks
Verb 8 -23.28 2.79 59.27 0.57 6 13,439,301 4.04
9. make made
make
makes
making
Verb 26 -22.76 6.95 96.51 0.75 19 5,790,156 9.39
10. say said
say
saying
says
Verb 52 -22.56 9.36 126.61 0.83 36 3,104,995 17.51
11. get Get
gets
Getting
got
Verb 28 -21.99 7.25 95.52 0.76 22 3,761,966 14.45
12. give gave
give
given
gives
giving
Verb 13 -19.92 4.7 61.47 0.74 13 7,886,045 6.89
13. could could Verb 21 -19.1 6.42 71.56 0.77 18 6,329,003 8.59
14. can ca
can
Verb 47 -19.05 9.19 98.17 0.81 32 3,160,349 17.2
15. should should Verb 16 -14.49 5.79 45.86 0.72 13 7,691,214 7.07
16. come came
come
comes
coming
Verb 27 -13.67 7.65 52.13 0.78 20 4,067,780 13.36
17. feel feel
felt
Verb 6 -13.51 2.47 28.17 0.6 6 18,133,597 3
18. provide provide
provided
provides
providing
Verb 5 -12.98 1.88 24.88 0.56 5 28,112,388 1.93
19. need need
needed
Verb 8 -12.58 3.55 29.23 0.61 7 9,992,092 5.44
20. see saw
see
seeing
seen
sees
Verb 46 -11.71 9.6 51.07 0.82 33 3,312,493 16.41
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