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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 'm
're
's
are
be
been
being
is
was
were 		Verb 792 -65.55 17.52 1,934.56 0.85 95 399,413 136.1
2. do did
do
does
doing 		Verb 28 -59.44 6 302.01 0.8 23 3,730,761 14.57
3. say said
say
saying
says 		Verb 17 -45.19 4.59 175.36 0.52 8 10,786,822 5.04
4. know know
known 		Verb 7 -40.59 1.58 102.37 0.58 6 13,403,438 4.06
5. think think
thinking
thought 		Verb 8 -29.78 2.47 77.87 0.66 8 12,570,924 4.32
6. have 'd
had
has
have
having 		Verb 325 -27.29 15.36 330.48 0.81 77 710,742 76.48
7. can can Verb 27 -27.17 6.87 121.17 0.75 20 4,847,383 11.21
8. make made
make
makes
making 		Verb 20 -25.61 5.89 99.26 0.75 17 5,375,555 10.11
9. may may Verb 11 -18.5 4.2 52.56 0.48 6 16,941,380 3.21
10. see saw
see
seeing
seen 		Verb 26 -18.19 7.21 73.61 0.75 19 4,793,597 11.34
11. could could Verb 29 -13.7 7.89 53.7 0.77 19 5,256,939 10.34
12. come came
come
comes
coming 		Verb 26 -13.11 7.56 48.74 0.78 20 4,137,300 13.14
13. will will Verb 66 -12.38 10.75 62.08 0.78 29 3,479,151 15.62
14. use use
used
using 		Verb 21 -12.37 6.9 41.81 0.76 17 4,945,693 10.99
15. keep keep Verb 5 -11.71 2 22.1 0.56 5 26,761,505 2.03
16. show show
showed 		Verb 7 -11.57 3.19 25.06 0.49 5 15,684,495 3.47
17. would would Verb 84 -11.31 11.63 58.67 0.81 38 1,936,203 28.08
18. should should Verb 20 -11.19 6.84 36.1 0.69 13 5,950,421 9.14
19. become became
become 		Verb 9 -11.14 4.1 26.49 0.61 7 13,471,929 4.04
20. must must Verb 10 -11.03 4.48 27.28 0.61 8 12,284,627 4.42
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