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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. involve involve
involved
involves
involving
Verb 14 2.38 9.07 15.59 0.71 12 7,805,309 6.96
2. undergo undergoes Verb 5 1.99 7.83 36.11 0.28 2 29,457,442 1.85
3. allow allow
allowing
allows
Verb 13 1.51 8.18 3.91 0.68 11 7,323,009 7.42
4. include include
included
includes
Verb 13 1.41 8.12 3.29 0.68 11 14,909,672 3.65
5. make made
make
makes
making
Verb 57 1.28 11.93 2.02 0.76 31 3,481,126 15.62
6. announce announce
announced
Verb 5 0.97 5.47 1.67 0.56 5 14,377,985 3.78
7. expect expected
expecting
Verb 9 0.89 6.85 1.13 0.4 5 15,455,759 3.52
8. require required
requires
requiring
Verb 6 -0.15 5.09 0.02 0.6 6 12,546,390 4.33
9. stop stop
stopped
Verb 5 -0.21 4.52 0.04 0.48 4 16,282,638 3.34
10. follow followed
Following
Verb 8 -0.75 5.66 0.45 0.57 6 10,530,824 5.16
11. mean mean
means
Verb 6 -3.51 3.89 5.1 0.53 5 20,558,149 2.64
12. may may Verb 6 -7.94 3.09 15.01 0.53 5 15,663,803 3.47
13. use use
used
using
Verb 6 -8.71 2.98 16.81 0.53 5 15,147,061 3.59
14. should should Verb 5 -8.78 2.34 15.79 0.48 4 17,108,137 3.18
15. give give
given
gives
Verb 6 -9.08 2.93 17.71 0.53 5 16,479,769 3.3
16. will will Verb 18 -9.57 6.64 28.73 0.56 9 11,535,393 4.71
17. would would Verb 18 -11.31 6.47 35.76 0.78 18 4,278,734 12.7
18. can can Verb 13 -12.8 5.21 36.8 0.68 11 9,101,570 5.97
19. take take
taken
takes
Verb 6 -13.55 2.46 28.51 0.43 4 22,233,036 2.44
20. see saw
see
seen
Verb 5 -16.44 1.58 32.87 0.56 5 16,843,479 3.23
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