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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 -48.31 15.14 984.1 0.88 83 686,958 79.13
2. have 've
had
has
have
having 		Verb 69 -39.14 9.7 299.08 0.84 43 1,835,189 29.62
3. do did
do
does
done 		Verb 15 -38.79 4.35 142.8 0.69 12 5,829,164 9.33
4. would 'd
would 		Verb 8 -29.18 2.5 77.07 0.66 8 10,487,499 5.18
5. get get
gets
getting
got 		Verb 7 -22.29 2.38 53.65 0.58 6 21,680,727 2.51
6. take take
taken
takes
taking
took 		Verb 5 -21.8 1.22 44.86 0.48 4 28,649,288 1.9
7. will will Verb 13 -18.68 4.77 57.7 0.68 11 15,308,194 3.55
8. make made
make
makes
making 		Verb 13 -14.4 5.08 42.24 0.68 11 7,103,351 7.65
9. could could Verb 9 -13.53 3.88 33.67 0.58 7 15,004,113 3.62
10. see see Verb 13 -12.29 5.26 34.78 0.47 6 19,966,460 2.72
11. can ca
can 		Verb 25 -11.23 7.59 39.69 0.78 20 4,138,142 13.14
12. give gave
give
given
gives
giving 		Verb 9 -9.92 4.23 23.08 0.68 9 8,591,413 6.33
13. should should Verb 10 -7.52 4.89 16.91 0.7 10 7,925,801 6.86
14. find find
found 		Verb 9 -6.89 4.62 14.51 0.64 8 11,660,832 4.66
15. use use
used
uses
using 		Verb 15 -5.8 6.49 13.62 0.71 12 13,118,944 4.14
16. may may Verb 14 -5.59 6.3 12.65 0.63 10 8,854,836 6.14
17. leave leave
leaving 		Verb 6 -5.2 3.53 8.69 0.48 4 15,376,101 3.54
18. become become
becomes 		Verb 9 -3.82 5.15 6.46 0.68 9 8,689,917 6.26
19. call called Verb 7 -3.41 4.42 5.09 0.58 6 10,926,123 4.98
20. follow followed
Following
follows 		Verb 6 -3.22 3.96 4.5 0.6 6 15,063,408 3.61
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