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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 540 -57.46 16.36 1,424.85 0.9 94 358,504 151.63
2. say said
say 		Verb 10 -42.57 2.79 128.66 0.61 8 11,874,528 4.58
3. get get
getting
got 		Verb 9 -29.42 2.91 81.53 0.64 8 10,158,034 5.35
4. do did
do
does
doing 		Verb 51 -26.97 9.09 159.21 0.82 33 2,284,354 23.8
5. have had
has
have
having 		Verb 200 -26.94 13.75 278.69 0.87 66 1,092,170 49.77
6. go go
going
went 		Verb 14 -23.85 4.73 78.63 0.73 13 7,435,155 7.31
7. know knew
know
known
knows 		Verb 10 -22.57 3.62 63.54 0.7 10 8,003,144 6.79
8. look look
looked
looking 		Verb 5 -20.01 1.33 40.62 0.48 4 18,117,229 3
9. see saw
see
seeing
seen 		Verb 13 -19.82 4.7 61.42 0.72 12 7,399,147 7.35
10. come came
come
comes
coming 		Verb 10 -17.72 3.92 48.14 0.64 8 11,472,893 4.74
11. make made
make
makes
making 		Verb 20 -16.92 6.39 60.92 0.7 14 5,905,402 9.21
12. take take
taken
takes
taking
took 		Verb 15 -16.59 5.41 52.84 0.72 13 5,736,415 9.48
13. can can Verb 30 -16.36 7.82 68.63 0.8 24 3,459,767 15.71
14. would would Verb 41 -14.44 9.01 65.63 0.8 25 3,714,317 14.64
15. give gave
give
given
giving 		Verb 14 -11.53 5.59 32.91 0.66 10 9,311,624 5.84
16. could could Verb 22 -10.9 7.19 36.21 0.74 16 4,433,557 12.26
17. must must Verb 6 -10.58 2.76 21.18 0.6 6 17,704,185 3.07
18. will will Verb 55 -8.56 10.46 34.76 0.76 27 3,143,318 17.29
19. use use
used
uses
using 		Verb 19 -8.32 6.96 24.04 0.77 17 5,626,839 9.66
20. work work
worked
working
works 		Verb 7 -8.02 3.6 16.05 0.58 6 12,234,378 4.44
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