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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 299 -86.43 13.86 1,866.27 0.84 69 836,794 64.96
2. go goes
went 		Verb 5 -41.93 0.34 90.71 0.56 5 17,553,494 3.1
3. can can Verb 7 -40.59 1.58 103.06 0.63 7 13,572,191 4.01
4. do did
do
Does
done 		Verb 26 -40.59 6.24 192.25 0.8 23 4,066,961 13.37
5. have had
has
have
having 		Verb 173 -29.1 13.19 293.95 0.82 53 1,279,004 42.5
6. think think
thinks
thought 		Verb 5 -25.82 0.99 53.77 0.56 5 18,604,576 2.92
7. make made
make 		Verb 10 -25.78 3.45 73.89 0.66 9 11,857,547 4.58
8. come came
come
coming 		Verb 7 -21.23 2.44 50.55 0.53 5 19,923,771 2.73
9. see see
seen 		Verb 12 -19.86 4.42 59.48 0.49 6 12,893,328 4.22
10. use use
used
using 		Verb 6 -19.13 2.03 41.96 0.6 6 13,778,282 3.95
11. will will Verb 23 -18.83 6.75 73.56 0.74 17 5,719,476 9.5
12. take take
taken
takes
taking
took 		Verb 12 -18.41 4.51 54.47 0.7 11 10,595,766 5.13
13. give gave
give
given 		Verb 8 -16.49 3.23 40.24 0.66 8 12,042,110 4.51
14. find find
found 		Verb 5 -16.47 1.58 32.69 0.56 5 17,941,119 3.03
15. could could Verb 13 -15.79 4.97 46.96 0.7 11 9,176,463 5.92
16. should should Verb 7 -15.36 2.85 35 0.63 7 10,397,423 5.23
17. would would Verb 38 -14.54 8.75 64.5 0.75 22 5,748,650 9.46
18. ask asked
asking 		Verb 6 -7.85 3.1 14.72 0.6 6 13,683,718 3.97
19. tell tell
told 		Verb 9 -7.66 4.51 16.63 0.61 7 15,779,963 3.44
20. work work
worked
working 		Verb 7 -7.56 3.67 14.89 0.63 7 12,800,638 4.25
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