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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
doing 		Verb 7 -28.95 2.04 73.35 0.63 7 8,859,021 6.14
2. be 're
's
are
be
been
being
is
was
were 		Verb 281 -21.62 15.07 305.92 0.84 69 829,865 65.5
3. have had
has
have
having 		Verb 67 -16.17 10.56 98 0.81 34 3,028,909 17.95
4. would would Verb 8 -13.36 3.48 31.95 0.66 8 11,608,767 4.68
5. make made
make
makes
making 		Verb 6 -10.95 2.72 22.31 0.53 5 19,346,916 2.81
6. will will Verb 16 -6.16 6.65 15.28 0.69 12 8,280,160 6.57
7. may may Verb 5 -5.66 2.82 9.16 0.56 5 18,995,229 2.86
8. get get
getting
got 		Verb 14 -5.18 6.36 11.44 0.33 5 14,774,825 3.68
9. can can Verb 20 -4.71 7.61 11.03 0.63 12 5,996,111 9.07
10. should should Verb 7 -3.82 4.33 6.02 0.58 6 16,373,249 3.32
11. must must Verb 6 -2.02 4.3 2.25 0.53 5 20,570,118 2.64
12. show shown
shows 		Verb 6 -1.3 4.56 1.11 0.43 4 21,330,265 2.55
13. become become
becomes
becoming 		Verb 7 -1.27 5.05 1.09 0.58 6 16,004,922 3.4
14. call called Verb 6 -0.86 4.74 0.55 0.53 5 22,888,113 2.38
15. leave leaving
left 		Verb 8 -0.52 5.76 0.23 0.23 3 18,536,768 2.93
16. use use
used
Using 		Verb 17 -0.48 8.02 0.2 0.6 11 8,056,903 6.75
17. give gave
give
given
gives
giving 		Verb 20 0.09 8.67 0.01 0.66 13 6,839,104 7.95
18. find find
finding 		Verb 18 0.71 8.6 0.6 0.62 10 16,387,080 3.32
19. raise raise
raised
raises 		Verb 5 0.91 5.4 1.39 0.48 4 16,291,402 3.34
20. occur occur
occurred
occurring 		Verb 5 1.15 5.69 2.74 0.56 5 20,100,467 2.7
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