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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
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AWT
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. cause cause
caused
causes
causing
Verb 64 7.73 16.91 1,806.49 0.88 49 1,902,567 28.57
2. avoid avoid
avoided
avoiding
avoids
Verb 25 4.75 13.62 456.06 0.81 23 5,348,049 10.16
3. cover cover
covered
covering
Verb 16 3.52 11.05 102.42 0.71 12 7,900,339 6.88
4. hide hid
hide
Verb 10 2.98 10.73 150.61 0.66 9 13,527,318 4.02
5. flush flush
flushed
Verb 8 2.79 12.37 643.93 0.61 7 12,016,693 4.52
6. suffer suffer
suffered
suffering
Verb 10 2.78 9.68 63.06 0.66 9 9,975,251 5.45
7. spare spare
spared
Verb 7 2.58 11.06 290.93 0.58 6 14,673,818 3.7
8. squirm squirm
squirmed
squirming
squirms
Verb 6 2.44 13.29 1,656.34 0.6 6 12,674,923 4.29
9. prove prove
proved
Verb 8 2.3 8.41 28.17 0.61 7 20,951,509 2.59
10. save save
saved
saving
Verb 7 2.2 8.17 28.4 0.63 7 11,452,476 4.75
11. die die
died
dies
dying
Verb 8 2.04 7.84 14.87 0.66 8 12,511,065 4.34
12. forget Forget
forgetting
forgotten
Verb 6 1.95 7.45 18.4 0.6 6 17,181,775 3.16
13. feel feel
feeling
feels
felt
Verb 13 1.93 8.51 8.04 0.74 13 7,057,501 7.7
14. become became
become
becoming
Verb 12 1.46 7.96 3.74 0.7 11 8,585,794 6.33
15. come came
comes
coming
Verb 5 -4.54 3.04 6.89 0.56 5 38,924,775 1.4
16. can can Verb 9 -6.15 4.73 12.68 0.64 8 9,574,888 5.68
17. would 'd
would
Verb 7 -8.93 3.49 18.67 0.63 7 28,740,365 1.89
18. say said
say
Verb 5 -12.61 1.91 24.58 0.56 5 16,665,278 3.26
19. have had
has
have
having
Verb 44 -13.47 9.32 66.76 0.85 37 2,127,042 25.56
20. be 'm
's
are
be
been
being
is
was
were
Verb 125 -27.32 12.15 324.68 0.89 59 1,222,350 44.47
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