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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 's
are
be
been
being
is
was
were 		Verb 222 -31.84 13.94 484.08 0.77 56 1,264,770 42.98
2. have had
has
have 		Verb 68 -17.92 10.51 112.82 0.69 28 4,070,946 13.35
3. do did
do
does 		Verb 17 -17.81 5.76 62.35 0.68 13 6,152,246 8.84
4. would would Verb 6 -17.78 2.12 39.21 0.53 5 14,506,862 3.75
5. will will
wo 		Verb 8 -12.73 3.54 30.09 0.61 7 17,625,258 3.08
6. know knowing
known 		Verb 5 -11.27 2.05 21.35 0.48 4 20,567,041 2.64
7. come came
come
comes
coming 		Verb 5 -8.73 2.35 15.73 0.48 4 15,906,831 3.42
8. could could Verb 6 -8.63 2.99 16.69 0.6 6 22,584,555 2.41
9. see saw
see
seeing
seen
sees 		Verb 11 -6.14 5.41 13.43 0.66 9 11,215,680 4.85
10. look look
looked
looking 		Verb 8 -3.7 4.79 5.99 0.47 4 22,046,413 2.47
11. find find
found 		Verb 9 -2.41 5.49 3.25 0.61 7 13,095,071 4.15
12. can can Verb 31 -2.41 9.39 4.14 0.73 18 7,363,944 7.38
13. seem seem
seems 		Verb 5 -2.29 3.63 2.61 0.48 4 44,704,658 1.22
14. show show
shown 		Verb 5 -2.21 3.65 2.46 0.48 4 39,168,703 1.39
15. use use
used
using 		Verb 14 -1.74 7.06 2.09 0.65 10 7,257,543 7.49
16. call called Verb 5 -1.68 3.83 1.62 0.48 4 20,017,364 2.72
17. might might Verb 6 -1.64 4.43 1.62 0.53 5 15,731,698 3.46
18. include include
includes
including 		Verb 5 -0.42 4.4 0.15 0.56 5 17,611,161 3.09
19. become became
become 		Verb 10 -0.38 6.48 0.13 0.64 8 14,558,040 3.73
20. keep keep
kept 		Verb 9 0.25 6.47 0.07 0.68 9 8,023,993 6.77
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