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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. have had
has
have
having 		Verb 47 -28.14 8.76 173 0.45 16 4,826,655 11.26
2. do did
do
does
done 		Verb 12 -25.58 4.1 81.56 0.6 9 8,002,018 6.79
3. be 's
are
be
been
being
is
was
were 		Verb 370 -21.03 16 316.45 0.68 58 1,211,058 44.89
4. say say Verb 7 -19.93 2.52 47.78 0.49 5 15,414,363 3.53
5. see see
seen 		Verb 5 -13.36 1.84 25.99 0.48 4 30,271,365 1.8
6. would would Verb 11 -13.3 4.59 36.17 0.71 11 12,058,933 4.51
7. make make
makes
making 		Verb 9 -10.17 4.21 23.98 0.61 7 11,723,337 4.64
8. come come
comes 		Verb 6 -8.69 2.99 16.79 0.53 5 14,637,860 3.71
9. could could Verb 12 -5.25 5.84 11.11 0.68 10 9,309,703 5.84
10. can ca
can 		Verb 24 -5.18 8.13 13.34 0.68 16 7,028,086 7.73
11. should should Verb 7 -5.13 4.06 9.04 0.13 2 28,953,876 1.88
12. find find
found 		Verb 6 -4.92 3.58 8.12 0.48 4 15,340,899 3.54
13. call call
called
calling 		Verb 5 -2.12 3.68 2.32 0.48 4 20,393,047 2.67
14. become became
become
becomes 		Verb 7 -2.06 4.78 2.41 0.49 5 21,081,344 2.58
15. will will Verb 37 -1.96 10.02 2.97 0.39 11 6,624,600 8.21
16. show showed
shown
shows 		Verb 7 -1.53 4.96 1.49 0.38 4 17,825,077 3.05
17. bring bringing
brings
brought 		Verb 6 -0.81 4.76 0.5 0.6 6 13,128,271 4.14
18. need need
needed
needs 		Verb 10 -0.67 6.37 0.37 0.61 8 8,229,081 6.61
19. hear heard
hearing 		Verb 5 -0.63 4.29 0.31 0.34 3 22,596,055 2.41
20. appear appear
appeared
appears 		Verb 5 -0.29 4.47 0.07 0.34 3 37,944,254 1.43
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