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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 599 -84.76 16.29 2,412.54 0.92 95 339,599 160.07
2. do did
do
does 		Verb 26 -63 5.66 310.81 0.78 21 4,264,226 12.75
3. say said
say
says 		Verb 17 -45.88 4.57 178.24 0.75 15 6,730,771 8.08
4. take take
taking
took 		Verb 6 -43.67 0.94 102.79 0.6 6 10,855,192 5.01
5. have 'd
've
had
has
have
having 		Verb 213 -42.16 13.51 509.88 0.89 79 646,068 84.14
6. come came
come
comes 		Verb 7 -32.94 1.87 81.68 0.63 7 14,097,054 3.86
7. would would Verb 33 -27.37 7.56 133.2 0.81 26 3,218,305 16.89
8. can can Verb 31 -25.06 7.45 116.7 0.8 24 4,447,304 12.22
9. see saw
see
seen 		Verb 18 -24.14 5.6 88.49 0.74 15 7,202,716 7.55
10. could could Verb 14 -24.11 4.72 79.17 0.75 14 6,127,756 8.87
11. make made
make
makes
making 		Verb 23 -23.65 6.48 95.97 0.74 16 4,720,735 11.52
12. get get
gets
got 		Verb 28 -20.91 7.31 89.9 0.78 21 4,522,003 12.02
13. put put
puts 		Verb 5 -17.48 1.5 34.87 0.48 4 21,872,993 2.49
14. find find
finding
found 		Verb 11 -15.48 4.42 42.64 0.66 9 16,214,225 3.35
15. will will Verb 63 -13.34 10.53 67.87 0.82 36 2,024,702 26.85
16. want want
wanted
wants 		Verb 12 -12.98 4.92 35.76 0.68 10 9,687,781 5.61
17. use use
used
using 		Verb 21 -12.61 6.88 42.82 0.72 15 5,871,961 9.26
18. hold held
holding 		Verb 5 -11.21 2.06 21 0.48 4 15,108,694 3.6
19. follow followed
following
follows 		Verb 5 -10.82 2.1 20.13 0.56 5 18,233,631 2.98
20. might might Verb 8 -10.77 3.73 24.27 0.61 7 13,714,056 3.96
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