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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. appoint appoint
appointed
appointing
Verb 18 3.96 12.26 238.25 0.72 14 6,397,496 8.5
2. elect elect
elected
electing
Verb 12 3.23 11.07 156.2 0.64 9 11,248,868 4.83
3. choose choose
chooses
choosing
chose
chosen
Verb 14 3.06 10.07 51.37 0.71 12 10,718,123 5.07
4. bind bind
bound
Verb 8 2.52 9.21 59.05 0.54 6 16,853,902 3.23
5. name name
named
naming
Verb 6 2.07 7.85 27.38 0.53 5 14,747,986 3.69
6. state states Verb 5 1.52 6.29 7.26 0.48 4 35,035,623 1.55
7. find find
finding
found
Verb 22 1.48 9.46 3.21 0.77 19 5,389,965 10.09
8. include include
included
includes
Verb 10 1.42 7.5 3.66 0.52 6 14,822,049 3.67
9. create create
created
creating
Verb 5 0.73 5.21 0.79 0.48 4 19,994,940 2.72
10. might might Verb 9 -0.1 6.29 0.01 0.64 8 15,680,080 3.47
11. become became
become
becomes
Verb 9 -0.47 6.13 0.19 0.68 9 9,337,919 5.82
12. should should Verb 10 -2.27 5.86 3.02 0.61 7 10,179,093 5.34
13. will will Verb 27 -2.66 8.91 4.79 0.77 20 4,856,101 11.19
14. must must Verb 5 -2.69 3.51 3.3 0.34 3 18,908,966 2.87
15. may may Verb 9 -2.91 5.36 4.35 0.64 8 10,804,063 5.03
16. could could Verb 13 -3.38 6.45 5.99 0.72 12 8,520,992 6.38
17. come came
come
Verb 7 -5.96 3.91 11.05 0.63 7 17,673,010 3.08
18. see see Verb 8 -7.47 4.14 15.55 0.54 5 37,351,849 1.46
19. take take
taking
took
Verb 7 -7.68 3.65 15.33 0.58 6 12,911,639 4.21
20. would would Verb 13 -9.15 5.58 24.26 0.64 9 8,810,786 6.17
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