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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 'm
's
are
be
been
being
is
was
were 		Verb 297 -44.02 14.6 816.88 0.81 76 737,468 73.71
2. do did
do
does 		Verb 12 -36.12 3.66 119.35 0.7 11 8,137,640 6.68
3. have 'd
've
had
has
have 		Verb 113 -20.14 12.11 156.24 0.87 60 1,185,155 45.87
4. will will
wo 		Verb 11 -16.79 4.32 47.52 0.55 7 25,026,698 2.17
5. would would Verb 16 -14.78 5.77 47.67 0.71 13 11,456,802 4.74
6. know know
knowing
known 		Verb 7 -14.67 2.9 33.36 0.63 7 9,594,621 5.67
7. come came
come 		Verb 5 -14.39 1.75 28.19 0.56 5 14,835,051 3.66
8. can can Verb 15 -13.51 5.65 41.57 0.66 10 7,727,177 7.03
9. get get
gets
got 		Verb 11 -13.19 4.6 35.58 0.57 8 8,660,013 6.28
10. say said
say
says 		Verb 23 -12.18 7.22 43.02 0.77 19 4,500,541 12.08
11. look look
looking
looks 		Verb 5 -10.28 2.16 19.06 0.56 5 15,585,716 3.49
12. take take
taken
takes
taking 		Verb 13 -8.77 5.62 22.72 0.7 11 7,243,731 7.5
13. see saw
see
seen
sees 		Verb 16 -7.89 6.43 21.26 0.77 16 6,464,658 8.41
14. should should Verb 8 -7.09 4.19 14.46 0.54 6 14,635,961 3.71
15. give give
given
gives
giving 		Verb 10 -7.01 4.96 15.43 0.54 7 27,422,847 1.98
16. use Use
used
using 		Verb 11 -6.06 5.42 13.13 0.66 9 9,070,111 5.99
17. work work
worked
working
works 		Verb 5 -4.87 2.98 7.5 0.56 5 18,743,853 2.9
18. might might Verb 5 -4.56 3.04 6.87 -0.01 1 54,341,097 1
19. make made
make
making 		Verb 32 -3.86 9.25 9.03 0.76 21 3,489,334 15.58
20. seem seemed
seems 		Verb 6 -3.82 3.81 5.73 0.6 6 11,701,748 4.65
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