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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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Part of speech:
Collocate's part of speech:
excelSpreadsheet
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TTEST
MI3
CHISQ
JD
R
AWT
fAWT
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. happen happen
happened
happening
happens 		Verb 16 3.41 10.76 79.06 0.74 14 8,776,271 6.19
2. apply applied
applies
apply 		Verb 12 3.05 10.22 76.88 0.64 9 7,582,973 7.17
3. work work
worked
working 		Verb 16 2.83 9.78 27.6 0.75 15 6,760,876 8.04
4. go go
goes
going
gone
went 		Verb 31 2.5 10.77 11.53 0.8 24 3,403,505 15.97
5. suffer suffer
suffered 		Verb 7 2.31 8.6 42.48 0.53 5 13,354,422 4.07
6. become became
become
becoming 		Verb 6 0.41 5.43 0.2 0.53 5 18,149,448 3
7. may may Verb 8 -0.18 5.91 0.03 0.61 7 12,670,702 4.29
8. find find
found 		Verb 6 -0.51 4.9 0.21 0.53 5 17,992,005 3.02
9. use use
used
using 		Verb 7 -0.81 5.23 0.51 0.58 6 12,598,316 4.31
10. should should Verb 5 -1.45 3.92 1.29 0.56 5 14,616,993 3.72
11. see saw
SEE
seen
sees 		Verb 5 -4.02 3.16 5.86 0.56 5 13,170,230 4.13
12. do did
do
does
doing
done 		Verb 18 -5.26 7.18 12.92 0.77 17 6,486,902 8.38
13. will will Verb 6 -5.56 3.46 9.65 0.6 6 10,600,982 5.13
14. would would Verb 7 -5.7 3.96 10.56 0.58 6 13,471,282 4.04
15. be 'm
's
are
be
been
being
is
was
were 		Verb 198 -7.99 14.61 61.01 0.92 79 739,631 73.5
16. have had
has
have
having 		Verb 18 -18.43 5.92 70.86 0.76 16 4,530,399 12
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