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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. do did
do
does 		Verb 6 -25.52 1.66 59.62 0.6 6 14,739,827 3.69
2. be 's
are
be
been
being
is
was
were 		Verb 225 -20.17 14.4 259.87 0.89 74 895,667 60.69
3. say said
say
says 		Verb 6 -14.16 2.41 30.34 0.43 4 29,298,227 1.86
4. have 've
had
has
have
having 		Verb 82 -8.99 11.72 45.24 0.86 49 1,794,814 30.29
5. can can Verb 9 -8.22 4.44 18.45 0.58 7 11,012,766 4.94
6. make made
make
makes
making 		Verb 7 -7.53 3.67 14.99 0.63 7 12,605,841 4.31
7. see saw
see 		Verb 6 -7.25 3.18 13.48 0.48 4 25,958,062 2.09
8. would would Verb 14 -6.29 6.19 15.12 0.68 10 9,868,750 5.51
9. may may Verb 6 -3.46 3.9 5.01 0.6 6 14,177,605 3.83
10. work work
worked
working
works 		Verb 6 -0.79 4.77 0.48 0.6 6 11,765,841 4.62
11. leave leave
leaving
left 		Verb 6 -0.72 4.8 0.4 0.43 4 32,356,662 1.68
12. will will Verb 30 -0.61 9.66 0.34 0.75 18 5,345,783 10.17
13. need needed
needs 		Verb 7 -0.48 5.38 0.19 0.58 6 21,200,039 2.56
14. engage engaged
engages 		Verb 5 1.99 7.82 35.78 0.48 4 23,133,788 2.35
15. train train
trained
training 		Verb 6 2.18 8.37 43.8 0.6 6 18,146,773 3
16. slash slash
slashed
slashing 		Verb 5 2.2 10.51 282.52 0.48 4 22,549,411 2.41
17. expand expand
expanded
expanding 		Verb 6 2.23 8.67 56.3 0.6 6 16,102,913 3.38
18. increase increase
increased
increasing 		Verb 13 2.93 9.81 45.68 0.66 9 15,209,684 3.57
19. employ employed
employing 		Verb 16 3.75 11.99 223.9 0.72 13 14,670,230 3.71
20. reduce reduce
reduced
reduces
reducing 		Verb 20 3.97 11.79 139.86 0.76 17 5,381,916 10.1
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