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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 362 -25.38 15.78 413.53 0.74 67 1,040,935 52.22
2. say said
say
says 		Verb 6 -24.15 1.73 55.13 0.6 6 14,470,562 3.76
3. do did
do
doing
done 		Verb 16 -23.44 5.22 83.71 0.55 8 13,208,954 4.12
4. have 'd
had
has
have 		Verb 100 -16.18 11.9 111.49 0.78 40 2,567,242 21.17
5. will will Verb 8 -16.04 3.26 39.42 0.61 7 12,773,182 4.26
6. know know
known 		Verb 6 -12.52 2.56 26.02 0.48 4 18,422,606 2.95
7. go go
going
gone
went 		Verb 9 -12.51 3.97 30.83 0.61 7 14,717,859 3.69
8. make made
make
makes
making 		Verb 8 -12.41 3.57 29.09 0.66 8 12,103,025 4.49
9. would would Verb 14 -12.33 5.51 36.25 0.69 12 7,598,157 7.15
10. can ca
can 		Verb 13 -11.34 5.35 31.71 0.72 12 8,161,102 6.66
11. get get
got 		Verb 10 -10.69 4.51 26.56 0.64 8 7,984,151 6.81
12. see saw
see
seen 		Verb 9 -9.69 4.26 22.53 0.58 7 13,699,941 3.97
13. may may Verb 6 -7.02 3.22 12.86 0.6 6 12,093,732 4.49
14. should should Verb 6 -6.71 3.27 12.16 0.6 6 16,584,321 3.28
15. use used
using 		Verb 8 -5.97 4.36 11.58 0.61 7 10,120,066 5.37
16. come came
come
comes
coming 		Verb 11 -5.65 5.48 11.96 0.71 11 6,998,527 7.77
17. find find
found 		Verb 7 -4.8 4.12 8.25 0.53 5 18,876,672 2.88
18. could could Verb 17 -3.87 7.22 7.81 0.61 9 12,495,290 4.35
19. take take
taken
takes
taking
took 		Verb 19 -3.83 7.59 7.93 0.71 13 7,542,403 7.21
20. need need
needed
needs 		Verb 6 -2.95 4.03 3.97 0.53 5 42,496,135 1.28
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