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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 384 -71.46 14.95 1,646.72 0.85 82 629,987 86.29
2. have 'd
've
had
has
have
having 		Verb 95 -46.97 10.6 422.85 0.85 52 1,600,062 33.97
3. say said
say
says 		Verb 16 -30.4 4.9 110.33 0.71 13 7,920,779 6.86
4. think think
thinking
thought 		Verb 5 -25.67 1 53.44 0.56 5 18,374,261 2.96
5. can can Verb 16 -24.45 5.17 85.91 0.57 9 22,327,697 2.43
6. do did
Do
does
doing
done 		Verb 54 -24.19 9.41 142.56 0.84 37 2,118,237 25.66
7. could could Verb 7 -23.64 2.3 57.02 0.58 6 17,402,204 3.12
8. get get
got 		Verb 12 -23.25 4.22 71.34 0.73 12 8,588,329 6.33
9. would would Verb 22 -22.38 6.39 88.92 0.77 18 6,282,005 8.65
10. come came
come
comes
coming 		Verb 8 -19.39 3.03 48.44 0.61 7 15,017,760 3.62
11. will will
wo 		Verb 24 -18.11 6.94 71.37 0.73 17 5,891,213 9.23
12. may may Verb 6 -17.54 2.14 38.07 0.53 5 12,116,100 4.49
13. should should Verb 6 -16.9 2.19 36.5 0.48 4 23,219,937 2.34
14. give gave
give
given 		Verb 8 -16.39 3.24 39.95 0.66 8 10,932,911 4.97
15. see saw
see
seen 		Verb 20 -13.5 6.64 46.05 0.75 16 5,620,133 9.67
16. make made
make
makes
making 		Verb 26 -12.75 7.59 47.28 0.78 21 6,506,496 8.35
17. find find Verb 8 -11.88 3.62 27.37 0.66 8 11,847,671 4.59
18. use use
used
uses
using 		Verb 13 -10.98 5.39 30.1 0.62 9 13,333,951 4.08
19. become became
become
becomes
becoming 		Verb 6 -9.27 2.91 18.06 0.6 6 12,526,471 4.34
20. mean meaning
Means
meant 		Verb 6 -9.03 2.94 17.49 0.53 5 17,095,152 3.18
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