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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. appoint appoint
appointed
Appointing
Verb 9 2.78 10.12 106.5 0.61 7 10,500,391 5.18
2. inform inform
informed
Verb 5 2.04 8.16 47.69 0.34 3 34,065,367 1.6
3. include include
included
includes
including
Verb 6 1.21 6.15 2.9 0.6 6 13,999,718 3.88
4. may may Verb 12 0.64 7.47 0.51 0.64 9 15,452,950 3.52
5. provide provide
provided
provides
Verb 5 0.29 4.84 0.1 0.56 5 35,548,109 1.53
6. need need
needed
needing
needs
Verb 6 0.17 5.27 0.03 0.53 5 22,261,620 2.44
7. put put Verb 6 0.05 5.2 0 0.48 4 22,499,509 2.42
8. should should Verb 9 -0.16 6.27 0.02 0.64 8 11,957,328 4.55
9. become became
become
becoming
Verb 5 -0.33 4.45 0.09 0.17 2 28,690,435 1.89
10. will will Verb 18 -1.06 8.02 0.92 0.73 14 6,330,411 8.59
11. make made
Make
making
Verb 12 -1.78 6.57 2.14 0.68 10 7,271,135 7.48
12. use use
used
uses
using
Verb 5 -2.46 3.57 2.91 0.56 5 23,295,384 2.33
13. come came
come
comes
coming
Verb 6 -2.67 4.11 3.46 0.6 6 16,838,231 3.23
14. get get
got
Verb 9 -3.16 5.3 4.95 0.47 5 15,612,631 3.48
15. say said
say
saying
says
Verb 15 -3.22 6.94 5.82 0.56 10 14,962,995 3.63
16. can can Verb 11 -3.54 5.87 6.18 0.68 10 10,724,948 5.07
17. take take
taken
takes
took
Verb 6 -3.7 3.84 5.52 0.53 5 14,733,850 3.69
18. would would Verb 10 -4.86 5.3 9.53 0.7 10 10,693,627 5.08
19. have 've
had
has
have
having
Verb 42 -10.55 9.39 47.25 0.82 31 2,338,016 23.25
20. do did
do
does
Verb 8 -13.54 3.47 33.1 0.66 8 12,803,406 4.25
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