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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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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. have had
has
have
having
Verb 70 -57.34 9.29 466.91 0.87 51 2,060,872 26.38
2. do do
does
done
Verb 17 -51.77 4.41 206.73 0.67 12 6,851,492 7.93
3. be 'm
's
are
be
been
being
is
was
were
Verb 557 -51.58 16.57 1,251.47 0.92 96 310,106 175.29
4. say said
say
says
Verb 9 -42.61 2.41 122.61 0.68 9 11,333,221 4.8
5. know know
known
Verb 6 -28.98 1.49 66.43 0.6 6 16,320,691 3.33
6. would would Verb 16 -27.56 5.02 98.66 0.75 15 6,042,819 9
7. could could Verb 7 -23.5 2.31 56.63 0.63 7 10,848,125 5.01
8. come came
come
comes
coming
Verb 6 -23.06 1.79 51.69 0.6 6 12,247,043 4.44
9. see see
seen
sees
Verb 12 -19.61 4.43 58.62 0.6 9 9,431,509 5.76
10. make made
make
makes
making
Verb 15 -19.5 5.22 64.13 0.74 14 8,744,412 6.22
11. take take
taken
takes
taking
took
Verb 14 -16.29 5.19 50.31 0.69 11 11,901,151 4.57
12. will will Verb 28 -15.89 7.61 64.47 0.73 18 5,517,930 9.85
13. can can Verb 39 -11.88 9.03 49.69 0.78 26 5,077,797 10.71
14. mean means
meant
Verb 5 -10.26 2.16 18.95 0.56 5 12,711,587 4.28
15. may may Verb 13 -9.9 5.5 26.42 0.68 11 9,811,842 5.54
16. work work
worked
Verb 5 -9.71 2.23 17.74 0.56 5 15,439,567 3.52
17. must must Verb 7 -8.77 3.51 17.93 0.53 5 16,856,900 3.22
18. call called Verb 5 -7.75 2.48 13.51 0.56 5 12,271,757 4.43
19. keep keep
kept
Verb 5 -7.15 2.57 12.24 0.48 4 13,975,384 3.89
20. might might Verb 7 -7 3.75 13.52 0.58 6 14,377,468 3.78
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