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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 's
are
be
been
being
is
was
were 		Verb 358 -53.82 15.02 1,129.07 0.72 70 971,029 55.98
2. do did
do
does
doing
done 		Verb 18 -37.9 5.03 151.17 0.52 10 8,233,252 6.6
3. have had
has
have 		Verb 87 -36.39 10.59 301.33 0.62 32 3,492,878 15.56
4. get get
got 		Verb 5 -29.69 0.81 62.83 0.48 4 19,096,078 2.85
5. say said
say
says 		Verb 15 -23.53 4.99 80.35 0.74 14 7,167,652 7.58
6. can can Verb 16 -17.95 5.54 60 0.71 13 5,411,498 10.05
7. take take
takes
taking
took 		Verb 8 -17.73 3.14 43.89 0.57 6 12,264,479 4.43
8. make made
make
makes
making 		Verb 12 -16.81 4.62 49.13 0.68 10 8,990,443 6.05
9. give gave
given
giving 		Verb 5 -16.52 1.58 32.87 0.48 4 27,212,061 2
10. use use
used
using 		Verb 5 -15.9 1.62 31.49 0.56 5 19,565,490 2.78
11. would would Verb 26 -14.11 7.49 54.15 0.74 17 5,902,239 9.21
12. see see
seeing
seen 		Verb 13 -13.59 5.15 39.32 0.48 5 14,703,770 3.7
13. should should Verb 8 -10.1 3.81 22.52 0.57 6 15,403,308 3.53
14. find find
found 		Verb 7 -9.49 3.42 19.78 0.58 6 23,853,151 2.28
15. come came
come
comes
coming 		Verb 14 -9.21 5.82 24.81 0.63 10 8,158,406 6.66
16. will will Verb 39 -7.68 9.41 27.03 0.66 16 6,831,200 7.96
17. could could Verb 21 -7.13 7.43 20.14 0.73 16 6,982,077 7.79
18. put put
Putting 		Verb 6 -6.82 3.25 12.36 0.6 6 14,848,236 3.66
19. mean mean
means
meant 		Verb 7 -5.55 3.98 10 0.58 6 14,829,568 3.67
20. show show
showed
shown
shows 		Verb 7 -4.78 4.13 8.18 0.49 5 17,609,516 3.09
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