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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. be 'm
's
am
are
be
been
being
is
was
were
Verb 672 -67.61 16.93 1,898.92 0.9 96 321,457 169.1
2. do did
do
does
doing
Verb 25 -57.99 5.63 279.15 0.79 21 4,423,876 12.29
3. have 've
had
has
have
having
Verb 137 -52.48 11.74 560.24 0.86 60 1,244,683 43.67
4. say said
say
Verb 12 -50.51 3.21 168.16 0.7 11 6,859,078 7.93
5. get get
gets
getting
got
Verb 13 -31.27 4.13 102.92 0.7 11 10,315,940 5.27
6. know knew
know
known
knows
Verb 14 -24.37 4.71 80.27 0.71 12 7,961,116 6.83
7. may may Verb 8 -20.7 2.94 52.02 0.61 7 11,642,615 4.67
8. can can Verb 37 -19.34 8.36 91.51 0.79 25 3,712,715 14.64
9. look look
looked
looking
Verb 9 -18.44 3.5 48.02 0.68 9 14,531,085 3.74
10. could could Verb 18 -18.04 5.95 62.8 0.74 16 5,608,634 9.69
11. give gave
give
given
gives
giving
Verb 12 -17.86 4.55 52.38 0.7 11 12,611,460 4.31
12. would 'd
would
Verb 52 -16.72 9.67 86.31 0.74 28 4,919,000 11.05
13. see saw
see
seeing
seen
sees
Verb 29 -14.9 7.8 59.85 0.82 26 3,002,453 18.11
14. will will
wo
Verb 49 -14.88 9.58 72.43 0.79 31 2,923,061 18.6
15. must must Verb 6 -14.4 2.39 30.33 0.53 5 26,061,496 2.09
16. come came
come
comes
coming
Verb 21 -14.05 6.76 49.16 0.74 16 4,962,164 10.95
17. mean mean
means
meant
Verb 6 -13.15 2.5 27.3 0.53 5 18,963,362 2.87
18. go go
goes
going
gone
went
Verb 46 -12.9 9.51 58.46 0.71 21 4,862,254 11.18
19. make made
make
makes
making
Verb 44 -12.02 9.43 52.28 0.83 33 3,070,097 17.71
20. try tried
try
trying
Verb 5 -11.7 2 22.08 0.56 5 20,124,987 2.7
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