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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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excelSpreadsheet
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. cut cut
cutting 		Verb 25 4.54 12.73 224.99 0.67 13 11,334,157 4.8
2. reduce reduce
reduced
reduces
reducing 		Verb 20 3.97 11.79 139.86 0.76 17 5,381,916 10.1
3. employ employed
employing 		Verb 16 3.75 11.99 223.9 0.72 13 14,670,230 3.71
4. increase increase
increased
increasing 		Verb 13 2.93 9.81 45.68 0.66 9 15,209,684 3.57
5. expand expand
expanded
expanding 		Verb 6 2.23 8.67 56.3 0.6 6 16,102,913 3.38
6. slash slash
slashed
slashing 		Verb 5 2.2 10.51 282.52 0.48 4 22,549,411 2.41
7. train train
trained
training 		Verb 6 2.18 8.37 43.8 0.6 6 18,146,773 3
8. engage engaged
engages 		Verb 5 1.99 7.82 35.78 0.48 4 23,133,788 2.35
9. need needed
needs 		Verb 7 -0.48 5.38 0.19 0.58 6 21,200,039 2.56
10. will will Verb 30 -0.61 9.66 0.34 0.75 18 5,345,783 10.17
11. leave leave
leaving
left 		Verb 6 -0.72 4.8 0.4 0.43 4 32,356,662 1.68
12. work work
worked
working
works 		Verb 6 -0.79 4.77 0.48 0.6 6 11,765,841 4.62
13. may may Verb 6 -3.46 3.9 5.01 0.6 6 14,177,605 3.83
14. would would Verb 14 -6.29 6.19 15.12 0.68 10 9,868,750 5.51
15. see saw
see 		Verb 6 -7.25 3.18 13.48 0.48 4 25,958,062 2.09
16. make made
make
makes
making 		Verb 7 -7.53 3.67 14.99 0.63 7 12,605,841 4.31
17. can can Verb 9 -8.22 4.44 18.45 0.58 7 11,012,766 4.94
18. have 've
had
has
have
having 		Verb 82 -8.99 11.72 45.24 0.86 49 1,794,814 30.29
19. say said
say
says 		Verb 6 -14.16 2.41 30.34 0.43 4 29,298,227 1.86
20. be 's
are
be
been
being
is
was
were 		Verb 225 -20.17 14.4 259.87 0.89 74 895,667 60.69
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