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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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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. do did
do
does
doing
done 		Verb 11 -38.47 3.26 122.79 0.68 10 11,096,099 4.9
2. have 've
had
has
have
having 		Verb 72 -30.47 10.14 225.54 0.86 45 1,824,041 29.8
3. be 're
's
am
are
be
been
being
is
was
were 		Verb 441 -29.81 16.29 550.22 0.9 86 504,119 107.83
4. say said
say
saying
says 		Verb 9 -24.43 3.15 67 0.58 6 16,788,823 3.24
5. see saw
see
seen 		Verb 11 -11.17 4.79 29.02 0.55 7 15,000,237 3.62
6. could could Verb 10 -9.99 4.59 24.32 0.66 9 9,438,246 5.76
7. can can Verb 24 -8.99 7.67 29.14 0.79 21 4,686,015 11.6
8. find find
found 		Verb 6 -7.71 3.12 14.44 0.48 4 23,456,338 2.32
9. want want
wanted 		Verb 9 -4.58 5 8.36 0.68 9 9,849,321 5.52
10. become became
become
becomes
becoming 		Verb 6 -4.56 3.65 7.3 0.6 6 20,144,850 2.7
11. would would Verb 52 -3.32 10.85 7.72 0.79 32 3,259,803 16.68
12. get get
gets
getting
got 		Verb 39 -2.62 10.07 4.91 0.82 29 3,209,759 16.94
13. ask asked
asking
asks 		Verb 8 -2.48 5.09 3.28 0.61 7 13,312,946 4.08
14. make made
make
makes
making 		Verb 39 -2.47 10.09 4.46 0.78 25 4,259,956 12.76
15. may may Verb 19 -2.36 7.87 3.65 0.72 14 9,588,524 5.67
16. will will Verb 52 -2.14 11.03 3.6 0.79 26 5,173,312 10.51
17. give gave
give
given
gives
giving 		Verb 27 -1.06 9.24 0.94 0.77 19 3,586,969 15.15
18. agree agree
agreed
agreeing 		Verb 5 -0.41 4.4 0.14 0.48 4 23,375,977 2.33
19. shall shall Verb 5 -0.07 4.6 0 0.56 5 16,878,418 3.22
20. apply applied
apply
applying 		Verb 8 1.07 6.68 1.83 0.51 5 24,285,624 2.24
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