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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 are
be
been
being
is
was
were 		Verb 404 -42.74 15.67 875.46 0.86 81 643,101 84.53
2. do did
do
does 		Verb 13 -41.9 3.74 145.41 0.68 10 8,429,710 6.45
3. can can Verb 8 -25.66 2.67 66.79 0.61 7 10,899,664 4.99
4. have had
has
have
having 		Verb 120 -24.77 12.11 209.8 0.83 51 1,793,704 30.31
5. will will Verb 12 -19.57 4.44 58.86 0.66 9 8,205,357 6.62
6. think think
thought 		Verb 5 -17.52 1.5 35.16 0.56 5 14,437,637 3.77
7. see saw
see
seen 		Verb 8 -17.29 3.17 42.67 0.61 7 11,237,834 4.84
8. take Take
taken
takes
taking
took 		Verb 9 -14.79 3.77 37.42 0.68 9 10,892,224 4.99
9. use used
uses
using 		Verb 5 -14.41 1.75 28.17 0.34 3 23,936,323 2.27
10. come came
come
comes 		Verb 7 -14.17 2.95 31.97 0.58 6 12,555,647 4.33
11. go go
goes
going
gone
went 		Verb 15 -14.08 5.6 43.59 0.74 14 5,123,566 10.61
12. should should Verb 5 -12.77 1.9 24.53 0.56 5 18,071,580 3.01
13. look look
looked
looks 		Verb 6 -11.23 2.69 22.78 0.6 6 20,033,252 2.71
14. make made
make
makes
making 		Verb 18 -10.95 6.5 34.06 0.7 14 6,417,334 8.47
15. would would Verb 31 -10.58 8.37 39.52 0.78 21 4,178,448 13.01
16. could could Verb 13 -10.05 5.48 27.03 0.72 12 9,837,273 5.53
17. want want
wanted
wants 		Verb 5 -9.8 2.22 17.97 0.48 4 23,600,692 2.3
18. may may Verb 15 -5.08 6.61 11.26 0.43 6 17,439,112 3.12
19. might might Verb 7 -4.22 4.24 6.91 0.58 6 13,274,038 4.1
20. leave leaving
left 		Verb 9 -3.2 5.29 4.98 0.61 7 11,375,908 4.78
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