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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 304 -42.82 14.71 795.02 0.9 83 683,372 79.55
2. do did
do
does
doing
done 		Verb 12 -35.93 3.66 118.68 0.66 9 10,234,519 5.31
3. will Will Verb 6 -24.65 1.7 56.12 0.6 6 14,206,732 3.83
4. have 'd
had
has
have
having 		Verb 112 -20.18 12.08 156.19 0.86 53 1,656,398 32.82
5. would 'd
would 		Verb 15 -15.43 5.5 48.95 0.71 12 8,095,866 6.71
6. say said
say
saying
says 		Verb 18 -14.85 6.17 50.32 0.77 17 5,209,425 10.43
7. think think
thought 		Verb 5 -14.2 1.77 27.75 0.56 5 30,151,151 1.8
8. can can Verb 15 -13.43 5.65 41.26 0.59 9 18,112,754 3
9. get get
gets
getting
got 		Verb 13 -11.51 5.33 32.15 0.72 12 6,279,545 8.66
10. go go
goes
going
gone
went 		Verb 17 -9.91 6.41 29.39 0.75 15 5,248,927 10.36
11. could could Verb 12 -8.36 5.4 20.75 0.73 12 6,208,601 8.76
12. give gave
give
given
gives 		Verb 9 -7.67 4.51 16.71 0.58 7 12,793,873 4.25
13. may may Verb 8 -7.37 4.15 15.2 0.57 6 20,244,878 2.69
14. use use
used
using 		Verb 9 -7.32 4.56 15.73 0.64 8 10,669,085 5.1
15. take take
taken
takes
taking
took 		Verb 16 -7.1 6.53 18.42 0.74 14 8,258,539 6.58
16. make made
make
makes
making 		Verb 24 -6.04 8.01 16.64 0.77 19 6,701,723 8.11
17. see saw
see
seeing 		Verb 22 -5.4 7.81 13.76 0.76 17 5,538,580 9.81
18. come came
come
comes
coming 		Verb 17 -4.85 7.05 10.94 0.76 16 6,621,161 8.21
19. need need
needs 		Verb 6 -4.27 3.71 6.68 0.43 4 21,205,097 2.56
20. bring brings
brought 		Verb 5 -2.61 3.53 3.16 0.56 5 15,179,011 3.58
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