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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
're
's
am
are
be
been
being
is
was
were
Verb 642 -72.79 16.7 2,050.37 0.9 94 419,939 129.45
2. do did
do
does
done
Verb 34 -49.55 6.93 270.35 0.79 24 5,616,364 9.68
3. have 'd
've
had
has
have
having
Verb 172 -45.62 12.69 518.39 0.88 71 929,701 58.47
4. say said
say
saying
says
Verb 25 -33.34 6.35 148.89 0.78 21 6,802,291 7.99
5. would would Verb 22 -33.03 5.91 139.03 0.76 18 5,319,840 10.22
6. know know
known
Verb 10 -30.95 3.21 90.15 0.66 9 9,468,459 5.74
7. get get
gets
getting
got
Verb 21 -23.55 6.17 91.99 0.77 18 5,624,214 9.67
8. may may Verb 8 -21.3 2.91 53.7 0.66 8 23,125,774 2.35
9. could could Verb 16 -20.23 5.4 68.49 0.72 13 14,193,020 3.83
10. go go
goes
going
gone
went
Verb 33 -18.09 8.04 80.37 0.67 18 6,384,957 8.51
11. see saw
see
seeing
seen
Verb 24 -17.96 6.95 70.22 0.78 20 4,403,145 12.35
12. look look
looked
looking
Verb 10 -17.69 3.92 47.91 0.66 9 17,317,953 3.14
13. can Ca
can
Verb 43 -17.63 8.97 86.12 0.83 34 3,265,158 16.65
14. tell tell
telling
told
Verb 5 -17.6 1.49 35.14 0.48 4 16,802,758 3.24
15. 'll 'll Verb 5 -16.5 1.58 32.7 0.56 5 23,874,046 2.28
16. will will Verb 46 -16.38 9.28 80.28 0.73 29 4,195,778 12.96
17. mean meaning
means
meant
Verb 5 -15.28 1.67 29.98 0.48 4 22,575,317 2.41
18. need need
needed
needs
Verb 5 -15.17 1.68 29.74 0.56 5 19,613,447 2.77
19. come came
come
comes
coming
Verb 21 -14.52 6.72 51.22 0.71 13 9,315,156 5.84
20. take take
taken
taking
took
Verb 29 -14.12 7.86 55.88 0.7 18 5,291,690 10.27
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