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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. define define
defined 		Verb 8 2.38 8.65 35.55 0.32 3 26,444,860 2.06
2. form form
formed
forming 		Verb 8 1.96 7.71 12.65 0.54 6 13,775,236 3.95
3. consist consisting
consists 		Verb 5 1.85 7.18 19.94 0.4 3 41,608,427 1.31
4. use use
used
using 		Verb 24 1.55 9.72 3.56 0.51 11 11,497,326 4.73
5. choose choose
chosen 		Verb 6 1.55 6.62 6.59 0.15 2 40,902,896 1.33
6. require require
requires
requiring 		Verb 8 1.48 7.07 4.61 0.51 5 31,193,563 1.74
7. consider Consider Verb 8 1.46 7.05 4.46 0.23 3 24,416,454 2.23
8. contain containing
contains 		Verb 6 1.46 6.48 5.32 0.38 3 42,685,584 1.27
9. show showing
shown
shows 		Verb 12 1.17 7.77 2.09 0.68 10 11,919,045 4.56
10. base based Verb 5 1.07 5.59 2.23 0.4 3 33,274,111 1.63
11. may may Verb 20 1.06 9.03 1.48 0.53 8 24,193,644 2.25
12. give gave
give
given
gives
giving 		Verb 13 -1.1 7.02 0.93 0.51 6 13,957,800 3.89
13. can can Verb 22 -2.88 8.23 5.24 0.54 10 10,044,787 5.41
14. know know
known 		Verb 5 -8.56 2.37 15.4 0.56 5 17,098,555 3.18
15. will will Verb 8 -9.6 3.86 21.43 0.42 4 28,204,327 1.93
16. have had
has
have
having 		Verb 64 -13.55 10.57 75.99 0.44 21 4,331,687 12.55
17. would would Verb 6 -13.72 2.45 29.2 0.6 6 12,564,037 4.33
18. be 're
's
are
be
been
is
was
were 		Verb 251 -19.28 14.79 251.14 0.56 44 1,971,803 27.57
19. do do
does
doing 		Verb 10 -19.69 3.79 56.09 0.52 6 15,307,819 3.55
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