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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 327 -34.69 15.16 617.77 0.9 86 577,254 94.17
2. would would Verb 5 -28.13 0.88 59.7 0.56 5 21,950,495 2.48
3. do did
do
does 		Verb 22 -21.74 6.42 87.66 0.79 20 3,993,070 13.61
4. have 'd
've
had
has
have
having 		Verb 114 -17.01 12.29 124.47 0.87 58 1,173,191 46.33
5. go go
gone
went 		Verb 8 -15.75 3.28 38.47 0.61 7 13,515,639 4.02
6. can can Verb 12 -14.11 4.83 40.09 0.68 10 6,766,433 8.03
7. know knew
know
known 		Verb 7 -13 3.05 29.01 0.58 6 12,401,638 4.38
8. could could Verb 6 -12.74 2.54 26.52 0.53 5 13,235,108 4.11
9. say said
say
saying
says 		Verb 19 -12.52 6.54 41.57 0.75 16 4,758,783 11.42
10. get get
gets
got 		Verb 16 -8.37 6.37 23.06 0.68 12 11,367,007 4.78
11. take take
takes
taking
took 		Verb 14 -7.03 6.09 17.43 0.63 10 9,657,416 5.63
12. want want
wanted
wants 		Verb 5 -6.86 2.62 11.65 0.56 5 20,933,992 2.6
13. see see
seen
sees 		Verb 16 -6.75 6.57 17.2 0.75 15 8,076,840 6.73
14. make made
make
makes
making 		Verb 20 -6.42 7.36 17.2 0.74 15 7,650,992 7.1
15. will will Verb 27 -6.41 8.35 18.78 0.8 23 3,992,452 13.62
16. tell tell
telling
tells
told 		Verb 5 -5.38 2.88 8.54 0.56 5 20,298,042 2.68
17. come came
come
comes 		Verb 14 -5.24 6.35 11.58 0.69 12 8,660,306 6.28
18. must must Verb 5 -5.03 2.94 7.83 0.48 4 19,453,262 2.79
19. leave leaves
leaving
left 		Verb 5 -4.05 3.15 5.86 0.48 4 35,869,465 1.52
20. become become
becomes 		Verb 6 -3.82 3.81 5.73 0.53 5 16,131,653 3.37
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