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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 356 -119.58 14.08 2,920.83 0.92 92 411,728 132.03
2. have had
has
have
having 		Verb 80 -81.54 9.31 733.18 0.8 42 1,956,925 27.78
3. do did
do
does
doing
done 		Verb 20 -71.4 4.56 314.24 0.79 19 4,239,336 12.82
4. can can Verb 6 -65.57 0.37 158.29 0.6 6 16,257,211 3.34
5. would would Verb 9 -58.96 1.97 172.51 0.64 8 10,011,142 5.43
6. get get
gets
getting
got 		Verb 7 -48.56 1.34 124.04 0.63 7 13,633,456 3.99
7. know know
known 		Verb 5 -48.45 0.14 105.14 0.56 5 22,678,074 2.4
8. go go
going
gone
went 		Verb 9 -44.94 2.34 128.83 0.68 9 8,671,406 6.27
9. say said
say
saying
says 		Verb 18 -43.24 4.86 171.55 0.73 14 5,573,172 9.75
10. give gave
given
giving 		Verb 5 -33.35 0.65 70.65 0.56 5 25,422,712 2.14
11. take take
taken
took 		Verb 11 -29.96 3.59 90.8 0.66 9 8,978,125 6.05
12. make made
make
making 		Verb 16 -29.32 4.94 105.05 0.75 15 5,145,442 10.56
13. use use
used
using 		Verb 7 -26.45 2.16 64.28 0.63 7 9,249,096 5.88
14. will will Verb 29 -25.26 7.21 114.61 0.77 21 4,053,612 13.41
15. may may Verb 7 -24.45 2.26 58.95 0.63 7 10,150,629 5.36
16. find find
found 		Verb 10 -16.1 4.04 42.91 0.66 9 9,307,931 5.84
17. come came
come
comes 		Verb 21 -15.49 6.65 55.47 0.78 19 4,384,457 12.4
18. show showed
shown
shows 		Verb 5 -14.43 1.75 28.09 0.56 5 15,237,453 3.57
19. mean mean
means
meant 		Verb 6 -14.35 2.39 30.2 0.53 5 13,117,003 4.14
20. call called Verb 5 -12.47 1.93 23.75 0.56 5 20,197,099 2.69
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