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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:
Collocate's part of speech:
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R
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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 298 -59.02 14.29 1,181.23 0.91 84 651,994 83.37
2. have 've
had
has
have
having 		Verb 61 -44.43 9.12 329.13 0.86 43 1,741,559 31.21
3. do did
do
doing
done 		Verb 15 -40.29 4.3 148.84 0.72 13 7,788,954 6.98
4. go go
going
went 		Verb 5 -30.19 0.79 64.05 0.56 5 16,021,460 3.39
5. get get
gets
getting
got 		Verb 8 -21.32 2.91 54.18 0.66 8 11,009,063 4.94
6. see saw
see
seeing 		Verb 7 -19.77 2.53 46.86 0.63 7 10,930,366 4.97
7. come came
come
comes 		Verb 6 -16.48 2.22 35.58 0.53 5 16,020,564 3.39
8. would would Verb 21 -15.87 6.63 57.8 0.78 19 6,063,607 8.96
9. could could Verb 9 -14.11 3.83 35.38 0.68 9 10,896,506 4.99
10. make made
make
makes
making 		Verb 16 -12.8 5.93 39.69 0.74 14 6,883,756 7.9
11. can ca
can 		Verb 23 -12.72 7.18 45.27 0.75 17 4,675,432 11.63
12. give give
given
gives
giving 		Verb 8 -11.36 3.67 25.99 0.66 8 11,791,125 4.61
13. use use
used
uses
using 		Verb 8 -10.89 3.72 24.7 0.61 7 12,634,332 4.3
14. will will Verb 35 -8.15 9.01 28.53 0.79 24 3,721,424 14.61
15. must must Verb 5 -7.79 2.48 13.61 0.56 5 14,447,037 3.76
16. leave leave
leaving
left 		Verb 5 -6.43 2.69 10.73 0.56 5 21,514,741 2.53
17. call called Verb 5 -5.18 2.91 8.12 0.56 5 14,208,285 3.83
18. should should Verb 15 -5.16 6.59 11.52 0.74 14 5,861,926 9.27
19. may may Verb 17 -4.64 7.09 10.24 0.68 13 8,512,457 6.39
20. mean mean
means
meant 		Verb 9 -3.92 5.13 6.69 0.68 9 10,793,035 5.04
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