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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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Part of speech:
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. be 're
's
are
be
been
being
is
was
were 		Verb 288 -40.02 14.59 714.65 0.91 78 688,133 79
2. say said
say
saying
says 		Verb 7 -25.55 2.2 62.87 0.63 7 14,410,765 3.77
3. do did
do
does
doing
done 		Verb 20 -23.62 5.99 92.85 0.76 17 4,167,800 13.04
4. know know
knowing
knows 		Verb 5 -16.53 1.57 33.04 0.56 5 28,648,723 1.9
5. would would Verb 15 -13.9 5.62 43.13 0.71 12 7,280,643 7.47
6. see saw
see
seeing
seen
sees 		Verb 9 -11.52 4.06 27.85 0.68 9 8,417,628 6.46
7. get get
gets
getting
got 		Verb 12 -11.02 5.11 29.55 0.7 11 8,224,177 6.61
8. go go
goes
going
gone
went 		Verb 14 -10.49 5.69 29.48 0.73 13 15,312,324 3.55
9. take take
taken
takes
taking
took 		Verb 10 -9.76 4.61 23.65 0.7 10 10,169,332 5.35
10. will will Verb 19 -9.66 6.81 29.65 0.78 18 5,864,840 9.27
11. can ca
can 		Verb 20 -9.32 7.02 28.8 0.74 16 7,581,451 7.17
12. look look
looked
looking
looks 		Verb 5 -9.24 2.28 16.78 0.56 5 20,260,019 2.68
13. make made
make
making 		Verb 16 -8.34 6.37 22.93 0.71 13 7,720,133 7.04
14. should should Verb 7 -7.07 3.74 13.73 0.63 7 13,689,185 3.97
15. may may Verb 8 -6.56 4.27 13.08 0.66 8 15,309,173 3.55
16. could could Verb 14 -6.34 6.19 15.1 0.71 12 9,951,498 5.46
17. have 'd
've
had
has
have
having 		Verb 213 -5.94 14.98 27.96 0.9 73 831,155 65.4
18. come came
come
comes
coming 		Verb 14 -5.36 6.33 11.96 0.69 11 9,048,181 6.01
19. must must Verb 5 -5.13 2.92 8.03 0.56 5 13,882,207 3.92
20. put put
putting 		Verb 5 -4.9 2.97 7.56 0.56 5 13,708,779 3.97
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