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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. be 's
are
be
been
being
is
was
were 		Verb 198 -24.2 13.82 322.49 0.86 65 1,051,551 51.69
2. do did
do
does 		Verb 14 -14.95 5.29 46.77 0.73 13 7,337,989 7.41
3. have had
has
have
having 		Verb 68 -11.99 10.88 65.28 0.78 32 2,633,768 20.64
4. say said
saying
says 		Verb 9 -10.84 4.13 26.15 0.64 8 15,714,125 3.46
5. get get
got 		Verb 5 -10.25 2.16 19.15 0.56 5 14,576,345 3.73
6. make made
make
makes
making 		Verb 6 -8.77 2.97 17.08 0.43 4 21,634,102 2.51
7. can can Verb 12 -6.45 5.65 14.86 0.7 11 10,452,033 5.2
8. come came
come 		Verb 7 -4.52 4.18 7.64 0.45 4 16,714,592 3.25
9. could could Verb 10 -3.48 5.57 5.83 0.66 9 9,631,194 5.64
10. take take
taken
taking 		Verb 14 -2.34 6.91 3.41 0.73 13 6,337,807 8.58
11. will will Verb 24 -2.05 8.67 3.01 0.79 21 4,516,993 12.03
12. use use
used
using 		Verb 10 -1.86 5.98 2.19 0.66 9 11,749,456 4.63
13. mean mean
means
meant 		Verb 5 -1.56 3.88 1.44 0.56 5 13,975,706 3.89
14. may may Verb 10 -1.51 6.08 1.56 0.56 6 12,823,492 4.24
15. see saw
see
seen 		Verb 18 -1.47 7.91 1.64 0.49 6 16,479,678 3.3
16. would would Verb 32 -1.12 9.74 1.07 0.71 18 5,094,249 10.67
17. need need
needed 		Verb 6 -0.99 4.68 0.7 0.6 6 21,911,307 2.48
18. must must Verb 7 -0.82 5.23 0.51 0.63 7 12,048,381 4.51
19. give gave
give
given
giving 		Verb 15 -0.36 7.68 0.12 0.69 11 8,548,179 6.36
20. follow follow
followed
following
follows 		Verb 6 0.05 5.2 0 0.6 6 20,433,096 2.66
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