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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 15 -36.85 4.42 135.01 0.68 11 9,094,029 5.98
2. have had
has
have
having 		Verb 83 -32.18 10.57 254.82 0.81 36 3,073,520 17.69
3. would would Verb 13 -20.36 4.67 63.89 0.7 11 11,261,520 4.83
4. be 's
are
be
been
being
is
was
were 		Verb 700 -19.44 18.11 326.28 0.82 70 1,104,843 49.2
5. make made
make
makes
making 		Verb 15 -12.12 5.77 36.21 0.72 13 7,630,312 7.12
6. take take
taken
takes
taking 		Verb 13 -10.62 5.42 29.01 0.66 10 9,935,813 5.47
7. should should Verb 8 -8.58 3.99 18.41 0.61 7 13,964,050 3.89
8. see see
seeing
seen 		Verb 20 -7.76 7.19 22.34 0.48 10 9,917,008 5.48
9. will will Verb 36 -6.79 9.25 22.08 0.77 23 5,253,281 10.35
10. mean mean
means 		Verb 5 -6.32 2.71 10.49 0.56 5 12,172,530 4.47
11. could could Verb 20 -6.11 7.4 15.99 0.74 15 7,407,799 7.34
12. give gave
give
given
gives
giving 		Verb 16 -5.25 6.79 12.04 0.71 12 8,584,231 6.33
13. find find
finding
found 		Verb 13 -4.25 6.28 8.35 0.68 10 10,006,548 5.43
14. hold held
holding 		Verb 5 -3.87 3.19 5.51 0.56 5 14,957,922 3.63
15. must must Verb 10 -3.37 5.6 5.54 0.58 7 23,362,470 2.33
16. bring brought Verb 5 -3.37 3.32 4.54 -0.01 1 54,325,107 1
17. need need
needed
needs 		Verb 9 -3.34 5.26 5.3 0.64 8 9,721,062 5.59
18. become become
becomes
becoming 		Verb 11 -2.57 6.09 3.75 0.68 10 9,368,622 5.8
19. can can Verb 59 -2.4 11.37 4.49 0.78 26 5,220,795 10.41
20. set set
sets
setting 		Verb 6 -2.25 4.23 2.66 0.6 6 14,282,370 3.81
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