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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. possess possess
possessed
possesses 		Verb 11 3.19 11.66 271.88 0.66 9 10,155,056 5.35
2. associate associated
associates 		Verb 9 2.73 9.82 83.34 0.64 8 18,669,746 2.91
3. declare declared
declaring 		Verb 6 2.2 8.44 46.73 -0.01 1 54,356,309 1
4. define define
defined
defining 		Verb 6 2.06 7.82 26.7 0.6 6 19,987,009 2.72
5. describe describe
described
describing 		Verb 8 1.99 7.75 13.4 0.44 5 18,864,526 2.88
6. identify identified
identifies
identify
identifying 		Verb 5 1.64 6.55 10.13 0.48 4 17,900,141 3.04
7. form form
formed
forming 		Verb 5 1.42 6.09 5.5 0.48 4 27,788,858 1.96
8. include include
included 		Verb 5 0.65 5.14 0.59 0.56 5 14,021,592 3.88
9. may may Verb 13 0.43 7.59 0.21 0.61 9 10,343,042 5.26
10. call called Verb 6 0.31 5.36 0.11 0.53 5 19,749,930 2.75
11. hold held
hold
holding
holds 		Verb 5 0.14 4.74 0.02 0.48 4 31,290,301 1.74
12. must must Verb 7 -0.04 5.6 0 0.49 5 15,548,708 3.5
13. become become
becoming 		Verb 5 -0.76 4.22 0.44 0.48 4 15,413,655 3.53
14. use Use
used
Using 		Verb 7 -2 4.8 2.29 0.53 5 15,636,433 3.48
15. give give
given 		Verb 5 -3.44 3.3 4.71 0.48 4 26,385,275 2.06
16. can can Verb 13 -3.77 6.37 7.09 0.68 10 10,319,785 5.27
17. could could Verb 6 -4.18 3.73 6.55 0.6 6 17,860,135 3.04
18. will will Verb 10 -5.17 5.25 10.35 0.28 4 16,100,403 3.38
19. make made
make
makes 		Verb 6 -6.23 3.34 11.15 0.6 6 11,234,084 4.84
20. would would Verb 9 -6.89 4.62 14.74 0.61 7 19,531,917 2.78
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