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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
're
's
are
be
been
being
is
was
were 		Verb 596 -71.76 16.46 1,959.24 0.93 97 274,377 198.12
2. can can Verb 10 -44.2 2.74 133.33 0.66 9 9,330,764 5.83
3. have 'd
've
had
has
have
having 		Verb 173 -42.16 12.8 471.41 0.9 75 765,617 71
4. say said
say
says 		Verb 17 -39.79 4.76 152.66 0.71 13 9,328,316 5.83
5. know knew
know
knowing
known 		Verb 10 -29.05 3.3 84.11 0.66 9 12,573,267 4.32
6. make made
make
making 		Verb 15 -27.06 4.82 93.31 0.74 14 10,369,608 5.24
7. would would Verb 27 -26.96 6.88 120.36 0.77 20 4,575,636 11.88
8. use use
used
uses
using 		Verb 6 -25.8 1.64 58.31 0.6 6 12,967,149 4.19
9. get get
gets
getting
Got 		Verb 23 -20.59 6.64 81.56 0.79 20 5,198,586 10.46
10. do did
do
does
doing
done 		Verb 101 -20.3 11.72 142.67 0.87 50 1,638,473 33.18
11. want want
wanted
wants 		Verb 5 -20.14 1.32 40.84 0.48 4 20,511,032 2.65
12. could could Verb 15 -19.76 5.2 64.86 0.72 13 7,674,537 7.08
13. will WILL
wo 		Verb 35 -19.16 8.18 88.51 0.79 27 4,542,554 11.97
14. may may Verb 9 -18.48 3.5 48.17 0.58 7 15,063,365 3.61
15. come came
come
comes 		Verb 14 -18.36 5.05 57.77 0.75 14 8,331,824 6.52
16. need needed
needs 		Verb 5 -14.2 1.77 27.6 0.56 5 19,452,160 2.79
17. put put
puts 		Verb 6 -13.36 2.48 27.82 0.6 6 14,768,998 3.68
18. leave leave
leaves
leaving 		Verb 5 -13.22 1.85 25.43 0.56 5 19,596,132 2.77
19. might might Verb 5 -12.87 1.89 24.66 0.56 5 15,794,750 3.44
20. see saw
see
seen 		Verb 38 -10.99 9.02 44.1 0.54 16 4,993,116 10.89
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