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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 287 -56.63 14.21 1,106.56 0.89 74 770,496 70.55
2. have had
has
have
having 		Verb 59 -42.6 9.05 309.12 0.86 40 2,201,827 24.69
3. do did
do
Does
done 		Verb 19 -32.78 5.4 131.86 0.77 17 4,787,274 11.35
4. say said
say
says 		Verb 8 -31.15 2.41 82.93 0.61 7 15,061,493 3.61
5. take take
taken
took 		Verb 5 -21.32 1.25 43.77 0.48 4 25,693,939 2.12
6. would would Verb 19 -15.99 6.27 56.11 0.77 17 4,933,444 11.02
7. come came
come
comes 		Verb 7 -13.95 2.97 31.39 0.53 5 12,833,610 4.24
8. see see
seen
sees 		Verb 12 -12.74 4.94 35.24 0.7 11 6,946,440 7.83
9. make made
make
makes
making 		Verb 16 -11.9 6.01 36.25 0.63 12 8,655,678 6.28
10. could could Verb 12 -10.56 5.15 27.92 0.68 10 8,569,134 6.34
11. use use
used
using 		Verb 10 -8.45 4.77 19.65 0.64 8 10,709,361 5.08
12. give gave
give
given
gives
giving 		Verb 11 -8.13 5.13 19.36 0.64 9 8,030,485 6.77
13. can can Verb 35 -7.52 9.07 25.46 0.8 24 3,865,190 14.06
14. become became
become
becomes
becoming 		Verb 5 -6.73 2.64 11.36 0.56 5 14,287,609 3.8
15. should should Verb 12 -6.1 5.71 13.59 0.66 9 13,100,414 4.15
16. will will Verb 42 -5.67 9.88 17.52 0.79 26 3,710,276 14.65
17. need need
needed 		Verb 6 -5.52 3.47 9.41 0.6 6 12,470,924 4.36
18. show show
showed
shown
shows 		Verb 6 -4.81 3.6 7.85 0.6 6 11,989,110 4.53
19. call call
called 		Verb 5 -4.78 2.99 7.31 0.56 5 19,057,820 2.85
20. may may Verb 21 -2.88 8.08 5.15 0.77 18 5,189,791 10.47
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