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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 		Verb 8 -37.21 2.18 102.25 0.66 8 13,603,238 4
2. have had
has
have
having 		Verb 51 -30.68 8.94 198.2 0.8 29 2,836,775 19.16
3. be 'm
're
's
are
be
been
being
is
was
were 		Verb 398 -23.75 16.14 385.84 0.93 90 423,486 128.36
4. can can Verb 5 -22.63 1.17 47.07 0.56 5 27,623,714 1.97
5. would would Verb 9 -17.68 3.55 46.46 0.68 9 10,192,275 5.33
6. get get
getting
got 		Verb 6 -16.01 2.26 34.61 0.6 6 18,171,370 2.99
7. go go
goes
going
gone 		Verb 7 -15.5 2.84 35.69 0.63 7 10,347,176 5.25
8. will will Verb 9 -15.36 3.73 39.39 0.68 9 7,623,873 7.13
9. make made
make
making 		Verb 7 -14.17 2.95 32.14 0.63 7 16,683,714 3.26
10. know knew
know
knowing
known 		Verb 6 -12.99 2.51 27.18 0.53 5 15,236,087 3.57
11. could could Verb 5 -12.96 1.88 25.05 0.56 5 16,225,050 3.35
12. see saw
see
seeing
seen
sees 		Verb 7 -12.2 3.13 26.93 0.58 6 14,339,033 3.79
13. come came
come
comes
coming 		Verb 8 -8.03 4.06 16.99 0.61 7 9,250,728 5.88
14. may may Verb 6 -7.32 3.17 13.56 0.53 5 17,279,505 3.15
15. find find
finding
found 		Verb 5 -6.86 2.62 11.65 0.56 5 17,288,403 3.14
16. take take
taken
takes
taking
took 		Verb 13 -6.61 5.9 15.65 0.72 12 8,753,332 6.21
17. keep keep
kept 		Verb 5 -2.38 3.6 2.75 0.56 5 20,349,929 2.67
18. become became
become
becomes 		Verb 8 -2.13 5.19 2.6 0.66 8 9,376,247 5.8
19. bring bring
brings
brought 		Verb 5 -1.79 3.8 1.78 0.56 5 18,023,223 3.02
20. leave leave
leaves
leaving
left 		Verb 8 -1.71 5.32 1.83 0.61 7 12,226,726 4.45
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