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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:
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. be 's
are
be
been
being
is
was
were 		Verb 305 -33.79 14.95 582.86 0.69 55 1,610,745 33.75
2. have had
has
have
having 		Verb 60 -28.06 9.61 189.91 0.72 22 3,961,816 13.72
3. do do
does
Doing
done 		Verb 14 -27.33 4.56 94.03 0.58 9 13,608,788 3.99
4. would would Verb 10 -16.98 3.97 46.37 0.66 9 23,468,409 2.32
5. take take
taken
takes
taking
took 		Verb 6 -12.99 2.51 27.16 0.48 4 17,109,105 3.18
6. see saw
see
seen 		Verb 7 -12.59 3.09 27.96 0.63 7 17,435,663 3.12
7. will will Verb 16 -10.14 6.18 29.71 0.51 8 12,580,389 4.32
8. make made
make
makes
making 		Verb 12 -9.72 5.24 25.26 0.68 10 7,290,262 7.46
9. could could Verb 8 -9.51 3.88 21 0.61 7 20,887,054 2.6
10. should should Verb 6 -7.26 3.18 13.42 0.43 4 22,384,719 2.43
11. can can Verb 30 -4.95 8.89 13.14 0.6 13 8,140,583 6.68
12. use use
used
uses
using 		Verb 11 -4.64 5.66 9.05 0.52 5 16,413,594 3.31
13. give gave
give
given
gives 		Verb 12 -4.41 5.99 8.64 0.45 6 12,512,321 4.34
14. become become
becomes 		Verb 6 -3.43 3.91 4.93 0.53 5 16,842,932 3.23
15. might might Verb 6 -2.81 4.07 3.69 0.43 4 17,691,362 3.07
16. may may Verb 15 -2.47 7.1 3.76 0.55 8 10,735,508 5.06
17. provide provide
provides 		Verb 8 -1.04 5.55 0.79 0.61 7 23,188,176 2.34
18. suggest suggest
suggested 		Verb 5 -0.5 4.35 0.21 0.48 4 22,592,674 2.41
19. produce produce
produced 		Verb 6 -0.21 5.05 0.04 0.25 2 54,284,793 1
20. offer offer
offered
offering
offers 		Verb 6 -0.09 5.12 0.01 0.53 5 17,131,317 3.17
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