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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. have 've
had
has
have 		Verb 29 -23.32 7.3 113.75 0.77 21 4,521,611 12.02
2. be 'm
're
's
am
are
be
been
being
is
was
were 		Verb 194 -21.89 13.84 279.16 0.82 62 1,105,119 49.19
3. do did
do
does
done 		Verb 11 -16.22 4.36 46.69 0.57 8 13,614,737 3.99
4. would would Verb 9 -8.83 4.36 20.27 0.68 9 16,877,387 3.22
5. will will
wo 		Verb 8 -8.32 4.02 17.93 0.54 6 12,926,557 4.21
6. see see
seeing
seen 		Verb 6 -6.72 3.26 12.26 0.6 6 17,484,149 3.11
7. could could Verb 6 -5.49 3.47 9.42 0.53 5 17,662,462 3.08
8. make made
make 		Verb 10 -4.89 5.3 9.55 0.7 10 22,392,327 2.43
9. look looked
looking
looks 		Verb 5 -3.68 3.24 5.17 0.56 5 13,637,153 3.99
10. find find
found 		Verb 5 -2.97 3.43 3.81 0.48 4 20,824,698 2.61
11. can can Verb 20 -2.64 7.97 4.49 0.54 10 12,620,148 4.31
12. may may Verb 7 -2.53 4.65 3.3 0.53 5 20,711,695 2.62
13. call call
called 		Verb 5 -0.57 4.32 0.26 0.48 4 14,287,468 3.8
14. bring bring
brings
brought 		Verb 5 -0.07 4.6 0 0.48 4 28,500,374 1.91
15. use use
used
uses
using 		Verb 16 0.32 8.12 0.12 0.72 13 6,319,712 8.6
16. become become
becomes
becoming 		Verb 10 0.62 6.96 0.49 0.56 6 14,989,364 3.63
17. add add
adding 		Verb 5 0.78 5.26 0.93 0.56 5 13,925,964 3.9
18. leave leave
leaves
leaving
left 		Verb 10 0.84 7.09 0.97 0.64 8 8,877,133 6.12
19. set set
sets
setting 		Verb 8 1.15 6.76 2.26 0.34 4 22,086,204 2.46
20. turn turned
turning
turns 		Verb 10 1.48 7.55 4.14 0.64 8 13,426,739 4.05
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