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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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MI3
CHISQ
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R
AWT
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. be 's
are
be
been
being
is
was
were
Verb 275 -22.9 14.95 330.03 0.87 65 1,045,909 51.97
2. do did
do
does
Verb 15 -18.09 5.31 60.31 0.69 12 7,867,668 6.91
3. go goes
going
gone
went
Verb 5 -13.89 1.79 27.25 0.56 5 14,912,613 3.65
4. would would Verb 8 -13.65 3.46 32.75 0.61 7 14,822,204 3.67
5. have 'd
've
had
has
have
having
Verb 88 -12.25 11.71 72.53 0.84 48 1,611,654 33.73
6. make make
makes
Verb 6 -11.19 2.69 22.88 0.6 6 12,414,611 4.38
7. say said
say
saying
says
Verb 14 -9.75 5.76 27.07 0.69 12 6,964,113 7.81
8. can can Verb 15 -6.91 6.34 17.53 0.72 13 5,757,529 9.44
9. could could Verb 8 -6.2 4.33 12.19 0.51 5 13,852,187 3.92
10. use use
used
using
Verb 6 -5.43 3.48 9.25 0.43 4 18,734,971 2.9
11. come came
come
comes
coming
Verb 9 -4.69 4.98 8.68 0.64 8 15,518,942 3.5
12. take Take
taking
took
Verb 15 -3.27 6.93 5.88 0.59 9 9,248,825 5.88
13. want want
wanted
Verb 6 -3.25 3.95 4.56 0.6 6 11,665,326 4.66
14. should should Verb 9 -2.8 5.39 4.09 0.61 7 19,450,700 2.79
15. will will Verb 31 -1.86 9.49 2.66 0.77 22 3,562,851 15.26
16. find find
found
Verb 10 -1.67 6.03 1.83 0.61 7 17,834,616 3.05
17. get get
gets
got
Verb 28 -1.13 9.34 1.06 0.76 20 4,718,972 11.52
18. set sets
setting
Verb 5 -0.54 4.33 0.24 0.48 4 18,097,990 3
19. keep Keep
Keeping
kept
Verb 7 -0.28 5.47 0.07 0.58 6 34,288,999 1.59
20. show show
showing
shows
Verb 9 -0.11 6.29 0.01 0.68 9 10,128,071 5.37
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