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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. be 're
's
are
be
been
being
is
was
were 		Verb 435 -49.93 15.77 1,100.77 0.91 97 381,126 142.63
2. do did
do
does
doing 		Verb 22 -36.2 5.79 157.14 0.77 19 3,906,627 13.91
3. have 've
had
has
have
having 		Verb 124 -29.95 12.03 271.07 0.89 62 1,005,118 54.08
4. say said
say
says 		Verb 13 -27.97 4.27 91.72 0.7 11 8,574,123 6.34
5. can can Verb 18 -17.95 5.95 62.97 0.77 17 4,789,876 11.35
6. use use
used 		Verb 5 -17.22 1.52 34.43 0.56 5 14,985,139 3.63
7. go go
going
gone
went 		Verb 20 -13.71 6.62 47.09 0.79 19 5,362,074 10.14
8. come came
come
coming 		Verb 10 -13.28 4.27 34.33 0.66 9 10,709,462 5.08
9. make made
make
making 		Verb 20 -12.37 6.73 41.36 0.77 18 4,455,708 12.2
10. see saw
see
seen 		Verb 18 -11.43 6.45 35.92 0.77 17 6,006,017 9.05
11. may may Verb 9 -10.51 4.17 24.76 0.64 8 10,587,203 5.13
12. would would Verb 41 -10.01 9.36 40.03 0.78 26 3,993,180 13.61
13. find Find
found 		Verb 8 -9.34 3.89 20.45 0.66 8 13,347,856 4.07
14. could could Verb 19 -8.84 6.9 26.17 0.54 11 12,502,021 4.35
15. will will
wo 		Verb 42 -7.91 9.63 28.81 0.8 26 4,268,563 12.73
16. show show
showed
shows 		Verb 5 -7.19 2.57 12.32 0.56 5 21,208,807 2.56
17. leave leave
left 		Verb 6 -6.42 3.31 11.45 0.6 6 17,284,521 3.14
18. should should Verb 15 -6.25 6.43 15.1 0.74 14 8,713,524 6.24
19. put put Verb 8 -5.78 4.39 11.04 0.57 6 17,431,482 3.12
20. bring bring
bringing 		Verb 5 -4.58 3.04 6.9 0.56 5 21,352,822 2.55
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