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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. do did
do
does
doing
done 		Verb 10 -36.51 2.99 111.08 0.66 9 9,729,407 5.59
2. be 're
's
am
are
be
been
Being
is
was
were 		Verb 367 -31.26 15.64 556.38 0.92 90 450,598 120.64
3. have had
has
have
having 		Verb 70 -27.4 10.16 195.86 0.87 47 1,720,907 31.59
4. would would Verb 17 -12.55 6.16 39.89 0.73 14 6,963,321 7.81
5. can can Verb 15 -12.03 5.78 36.03 0.72 13 7,209,470 7.54
6. come came
come
comes
coming 		Verb 6 -11.44 2.67 23.35 0.53 5 13,942,454 3.9
7. see saw
see
seeing 		Verb 11 -9.8 4.94 24.66 0.66 9 10,337,242 5.26
8. may may Verb 6 -8.37 3.03 16.02 0.6 6 18,119,975 3
9. take take
taken
takes
taking
took 		Verb 12 -8.32 5.4 20.64 0.66 9 10,034,148 5.42
10. look look
looking
looks 		Verb 6 -8.01 3.08 15.16 0.6 6 17,281,355 3.15
11. make made
make
makes
making 		Verb 17 -7.83 6.64 21.52 0.73 14 5,280,048 10.3
12. get get
getting
got 		Verb 23 -5.65 7.92 14.91 0.78 19 7,733,310 7.03
13. must must Verb 5 -5.12 2.93 8.01 0.56 5 18,084,958 3.01
14. use use
used
using 		Verb 12 -4.75 5.92 9.62 0.58 8 9,351,625 5.81
15. mean mean
means
meant 		Verb 5 -4.57 3.04 6.9 0.34 3 19,268,338 2.82
16. should should Verb 11 -4.42 5.7 8.45 0.66 9 9,081,505 5.99
17. will will
wo 		Verb 36 -4.17 9.58 10.49 0.79 27 3,121,919 17.41
18. could could Verb 20 -3.95 7.73 8.39 0.77 18 5,665,953 9.59
19. become became
become
becoming 		Verb 6 -3.89 3.8 5.89 0.6 6 15,978,802 3.4
20. allow allow
allowed
allows 		Verb 6 -0.77 4.78 0.45 0.6 6 14,072,128 3.86
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