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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 're
's
are
be
been
being
is
was
were
Verb 534 -58.74 16.3 1,459.68 0.92 98 338,984 160.36
2. do did
do
does
doing
done
Verb 20 -50.46 5.03 216.74 0.76 17 8,330,155 6.53
3. have 'd
had
has
have
Verb 104 -47.26 10.91 442.15 0.89 59 1,343,918 40.45
4. say said
say
saying
says
Verb 12 -38.64 3.57 126.12 0.64 9 11,600,227 4.69
5. go go
goes
going
gone
went
Verb 8 -33.99 2.3 90.45 0.66 8 9,917,605 5.48
6. know know
known
Verb 7 -28.37 2.06 69.69 0.63 7 13,531,965 4.02
7. would would Verb 20 -25.62 5.89 99.97 0.76 17 9,403,849 5.78
8. get get
gets
got
Verb 12 -24.85 4.14 76.91 0.7 11 7,254,266 7.49
9. see saw
see
seen
Verb 12 -21.13 4.34 63.86 0.7 11 9,890,714 5.5
10. come came
come
comes
coming
Verb 8 -20.72 2.94 52.2 0.66 8 11,609,965 4.68
11. take take
taken
takes
taking
took
Verb 13 -18.56 4.78 56.85 0.72 12 8,791,351 6.18
12. could could Verb 12 -17.82 4.55 52.38 0.7 11 8,530,321 6.37
13. give gave
give
given
giving
Verb 8 -17.54 3.15 43.18 0.61 7 13,232,604 4.11
14. will will
wo
Verb 30 -16.34 7.82 68.49 0.78 22 5,018,231 10.83
15. find find
found
Verb 6 -15.55 2.29 33.19 0.6 6 12,079,019 4.5
16. want want
wanted
Verb 6 -14 2.42 29.41 0.6 6 12,482,414 4.35
17. can can Verb 43 -11.84 9.36 51.07 0.78 25 4,306,116 12.62
18. mean mean
means
meant
Verb 5 -11.09 2.07 20.75 0.56 5 19,608,824 2.77
19. make made
make
makes
making
Verb 33 -11.05 8.54 42.52 0.82 26 3,148,283 17.27
20. look look
looked
looking
looks
Verb 12 -11.02 5.11 29.3 0.73 12 7,494,767 7.25
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