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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 're
's
are
be
been
being
is
was
were 		Verb 716 -81.31 16.95 2,453.81 0.91 95 322,673 168.47
2. do did
do
does
doing 		Verb 29 -64.36 6.02 334.52 0.82 26 3,280,972 16.57
3. take take
takes
taking 		Verb 5 -52.41 0.03 114.07 0.56 5 15,808,117 3.44
4. go go
goes
going
gone 		Verb 11 -44.69 3.06 140.65 0.71 11 10,872,759 5
5. know knew
know
known
knows 		Verb 10 -36.51 2.99 107.89 0.64 8 11,512,845 4.72
6. get get
gets
getting
got 		Verb 15 -34.85 4.49 123.68 0.63 10 10,061,263 5.4
7. come came
come
comes 		Verb 8 -33.18 2.33 87.55 0.61 7 12,057,956 4.51
8. have had
has
have
Having 		Verb 321 -32.09 15.17 411.61 0.91 83 686,344 79.2
9. could could Verb 12 -29.08 3.94 91.25 0.73 12 9,621,046 5.65
10. look look
looking 		Verb 6 -28.86 1.49 65.79 0.6 6 10,960,445 4.96
11. make made
make
makes
making 		Verb 22 -26.77 6.17 108.74 0.75 17 4,001,030 13.59
12. see saw
see
seen 		Verb 22 -23.08 6.35 91.4 0.73 15 7,880,461 6.9
13. will will Verb 41 -22.13 8.56 112.34 0.82 30 3,029,204 17.95
14. would would Verb 52 -21.33 9.42 117.79 0.84 37 2,535,188 21.44
15. use use
used
using 		Verb 13 -20.03 4.69 61.84 0.7 11 14,586,608 3.73
16. can can Verb 53 -18.06 9.66 95.77 0.83 35 2,632,116 20.65
17. find find
found 		Verb 12 -16 4.68 45.95 0.68 10 11,601,389 4.69
18. leave leave
leaving
left 		Verb 6 -14.93 2.34 31.59 0.6 6 13,171,313 4.13
19. must must Verb 9 -13.41 3.89 33.08 0.68 9 10,627,058 5.12
20. seem seem
seemed
seems 		Verb 7 -13.25 3.03 29.4 0.63 7 18,419,105 2.95
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