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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. have had
has
have 		Verb 30 -37.65 6.84 200.76 0.81 24 3,181,411 17.09
2. do do
does
done 		Verb 7 -34.79 1.79 89.41 0.53 5 12,181,811 4.46
3. be 're
's
are
be
been
being
is
was
were 		Verb 242 -33.46 14.18 532.29 0.86 71 964,748 56.35
4. say said
say
says 		Verb 7 -19.58 2.54 46.84 0.58 6 32,002,129 1.7
5. can can Verb 7 -15.74 2.82 36.42 0.58 6 23,272,806 2.34
6. go go
going
went 		Verb 7 -13.22 3.03 29.7 0.53 5 37,792,030 1.44
7. know knew
know
known 		Verb 5 -12.56 1.92 24.19 0.56 5 18,449,942 2.95
8. see see Verb 9 -8.45 4.41 18.99 0.5 6 13,110,675 4.15
9. would 'd
would 		Verb 19 -8.09 6.98 23.47 0.71 13 9,069,100 5.99
10. take take
taken
takes
took 		Verb 10 -7.03 4.96 15.54 0.7 10 10,010,872 5.43
11. will will Verb 24 -4.93 8.16 12.39 0.76 18 5,044,030 10.78
12. must must Verb 5 -3.57 3.27 4.93 0.48 4 23,518,141 2.31
13. use use
used
using 		Verb 11 -3.46 5.89 5.91 0.71 11 8,177,890 6.65
14. should should Verb 10 -3.24 5.63 5.24 0.66 9 10,081,014 5.39
15. give give
given
gives
giving 		Verb 12 -3.24 6.22 5.48 0.73 12 6,470,582 8.4
16. mean mean
means
meant 		Verb 5 -3.14 3.38 4.12 0.56 5 15,303,994 3.55
17. may may Verb 11 -2.99 5.99 4.75 0.66 9 9,473,541 5.74
18. make made
make
makes
making 		Verb 28 -2.06 9.14 3.11 0.75 21 3,710,485 14.65
19. meet meet
meets
met 		Verb 5 -0.31 4.45 0.09 0.48 4 18,059,550 3.01
20. include include
included
includes
including 		Verb 6 -0.2 5.05 0.04 0.6 6 14,407,946 3.77
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