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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. base base
based 		Verb 22 4.06 11.82 123.31 0.77 18 6,339,428 8.57
2. use use
used
uses
using 		Verb 33 2.5 10.91 11.22 0.78 23 5,849,195 9.29
3. devise devised
devising 		Verb 6 2.31 9.3 93.77 0.53 5 19,608,615 2.77
4. defy defy Verb 5 2.18 9.95 187.45 0.48 4 22,932,556 2.37
5. involve involve
involved
involves 		Verb 8 1.6 7.2 5.92 0.66 8 15,385,110 3.53
6. introduce introduced
introduces 		Verb 5 1.26 5.83 3.6 0.56 5 18,065,253 3.01
7. provide provide
provided
provides 		Verb 12 1.23 7.81 2.38 0.7 11 7,077,575 7.68
8. explain explain
explaining 		Verb 5 0.95 5.45 1.59 0.56 5 18,103,651 3
9. suggest suggest
suggested
suggesting
suggests 		Verb 6 0.68 5.64 0.65 0.53 5 20,478,355 2.65
10. develop develop
developed
develops 		Verb 5 0.64 5.13 0.57 0.56 5 18,186,326 2.99
11. include include
included
includes 		Verb 7 0.61 5.99 0.48 0.63 7 12,800,945 4.25
12. show shown
shows 		Verb 8 -0.36 5.83 0.11 0.66 8 11,738,661 4.63
13. become became
become
becomes
becoming 		Verb 5 -2.31 3.62 2.64 0.56 5 17,781,546 3.06
14. must must Verb 5 -2.57 3.54 3.1 0.56 5 19,321,136 2.81
15. may may Verb 9 -2.78 5.39 4.05 0.64 8 17,081,421 3.18
16. will will Verb 24 -3.25 8.44 6.49 0.71 16 6,444,873 8.43
17. find find
found 		Verb 5 -4.35 3.08 6.48 0.48 4 28,036,441 1.94
18. should should Verb 6 -4.4 3.69 6.99 0.43 4 20,441,324 2.66
19. can can Verb 20 -4.54 7.63 10.45 0.48 11 7,619,257 7.13
20. make made
make
makes
making 		Verb 13 -5.34 6.09 11.68 0.74 13 8,831,888 6.15
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