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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
am
are
be
been
being
is
was
were
Verb 662 -59.6 17.01 1,605.13 0.86 93 422,162 128.76
2. have 'd
've
had
has
have
Verb 180 -37.28 13.07 410.29 0.91 78 725,861 74.89
3. know knew
know
knowing
known
knows
Verb 10 -26.96 3.39 77.46 0.7 10 8,407,505 6.47
4. would 'd
would
Verb 28 -24.23 7.13 107.85 0.8 23 3,837,693 14.16
5. say said
say
says
Verb 37 -21.75 8.22 106.16 0.82 29 3,893,915 13.96
6. could could Verb 15 -18.22 5.3 59 0.69 11 9,256,839 5.87
7. do did
do
does
doing
done
Verb 116 -15.71 12.42 104.94 0.83 52 1,614,040 33.68
8. make made
make
makes
making
Verb 31 -14.55 8.06 59.64 0.7 20 6,843,797 7.94
9. go go
goes
going
gone
went
Verb 35 -14.52 8.47 62.18 0.82 26 3,415,920 15.91
10. can can Verb 46 -13.86 9.44 64.55 0.72 20 5,796,432 9.38
11. come came
come
comes
coming
Verb 19 -13.38 6.47 44.53 0.78 18 4,855,957 11.19
12. become became
become
becoming
Verb 6 -11.97 2.61 24.48 0.6 6 10,883,291 4.99
13. see saw
see
seeing
seen
sees
Verb 32 -11.82 8.37 45.95 0.66 18 5,253,340 10.35
14. show show
showing
shown
shows
Verb 5 -11.77 2 22.24 0.56 5 16,778,404 3.24
15. might might Verb 6 -10.45 2.77 20.84 0.6 6 11,217,762 4.85
16. need need
needs
Verb 7 -10.35 3.32 21.93 0.49 5 17,097,790 3.18
17. get get
gets
getting
got
Verb 48 -9.5 9.92 38.78 0.78 26 3,803,881 14.29
18. keep Keep
keeping
kept
Verb 5 -9.38 2.27 17.01 0.34 3 26,099,072 2.08
19. may may Verb 20 -9 7.05 27.16 0.69 13 6,923,499 7.85
20. mean mean
means
meant
Verb 10 -7.77 4.85 17.58 0.61 7 18,010,556 3.02
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