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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. do did
do
does
done 		Verb 16 -18.02 5.54 61.65 0.67 11 11,309,862 4.81
2. be 're
's
am
are
be
been
being
is
was
were 		Verb 350 -17.54 15.95 237.79 0.84 68 1,008,857 53.88
3. say said
says 		Verb 8 -15.66 3.29 38.51 0.66 8 10,039,979 5.41
4. will will Verb 7 -13.55 3 30.63 0.63 7 21,921,615 2.48
5. go go
going
went 		Verb 6 -12.79 2.53 26.79 0.48 4 18,926,364 2.87
6. can can Verb 8 -12.46 3.57 29.36 0.66 8 12,253,084 4.44
7. have had
has
have 		Verb 109 -9.68 12.59 54.23 0.79 45 2,222,015 24.46
8. take take
taken
took 		Verb 6 -9.25 2.91 18.17 0.6 6 13,427,594 4.05
9. see saw
see
seen 		Verb 9 -7.18 4.58 15.43 0.64 8 10,632,608 5.11
10. use use
used
using 		Verb 5 -6.7 2.65 11.34 0.56 5 19,506,966 2.79
11. make made
make
makes 		Verb 12 -6.52 5.64 15.02 0.7 11 8,541,172 6.36
12. would would Verb 20 -6.32 7.37 16.95 0.76 17 5,241,174 10.37
13. may may Verb 5 -6.09 2.75 10.05 0.56 5 16,308,483 3.33
14. find find
found 		Verb 5 -4.83 2.98 7.45 0.56 5 23,548,276 2.31
15. give gave
give
given 		Verb 8 -4.47 4.63 7.84 0.61 7 16,933,287 3.21
16. should should Verb 8 -3.54 4.83 5.62 0.57 6 14,754,696 3.68
17. could could Verb 14 -3.32 6.7 5.92 0.71 12 8,574,206 6.34
18. come came
come
coming 		Verb 13 -3.02 6.52 5.02 0.7 11 10,688,887 5.09
19. must must Verb 7 -1.72 4.89 1.8 0.58 6 14,426,050 3.77
20. leave leaves
leaving
left 		Verb 6 -1.63 4.44 1.6 0.53 5 17,077,924 3.18
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