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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. have had
has
have
having 		Verb 14 -16.57 5.17 56.39 0.58 9 10,026,625 5.42
2. be are
be
been
being
is
was
were 		Verb 103 -14.02 12.12 123.66 0.43 27 3,376,954 16.1
3. would would Verb 5 -5.57 2.84 9.1 0.56 5 22,208,032 2.45
4. can can Verb 6 -3.94 3.79 6.08 0.25 2 27,802,349 1.96
5. will will Verb 7 -3.21 4.47 4.76 0.38 4 20,298,007 2.68
6. see see
seen 		Verb 5 -2.71 3.5 3.36 0.17 2 27,468,585 1.98
7. use use
used 		Verb 8 0.27 6.15 0.08 0.36 3 23,738,882 2.29
8. go go
goes
going
went 		Verb 15 0.39 7.97 0.17 0.69 12 7,010,300 7.75
9. may may Verb 11 1.29 7.63 2.73 0.41 5 13,922,000 3.9
10. provide provided
provides
providing 		Verb 7 1.51 6.84 5.36 0.45 4 15,637,468 3.48
11. allow allow
allowing 		Verb 6 1.63 6.75 8.01 0.6 6 14,504,780 3.75
12. agree agree
agreed
agreeing 		Verb 6 1.89 7.31 15.88 0.6 6 12,887,323 4.22
13. rule rule
ruled
rules 		Verb 5 2.13 9.07 97.39 0.56 5 17,335,204 3.14
14. determine determined
determining 		Verb 6 2.16 8.27 40.08 0.25 2 54,117,564 1
15. settle settle
settled 		Verb 9 2.86 10.77 177.04 0.68 9 8,784,137 6.19
16. refer referred
referring 		Verb 28 5.14 14.72 908.25 0.55 14 6,307,169 8.62
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