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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 293 -20.85 15.24 293.52 0.75 56 1,377,449 39.46
2. know know
known 		Verb 5 -10.37 2.15 19.36 0.56 5 16,665,958 3.26
3. can ca
can 		Verb 13 -7.89 5.73 19.95 0.61 9 9,943,365 5.47
4. make made
make
makes
making 		Verb 11 -6.68 5.33 15.06 0.61 8 8,588,891 6.33
5. do did
do
doing
done 		Verb 42 -6.54 9.78 22.27 0.71 19 4,958,536 10.96
6. go go
going
went 		Verb 14 -5.82 6.26 13.51 0.66 10 15,912,110 3.42
7. look looked
looking 		Verb 5 -5.47 2.86 8.76 0.56 5 17,561,974 3.1
8. use use
used 		Verb 6 -5.37 3.5 9.12 0.6 6 13,666,419 3.98
9. find find
found 		Verb 5 -4.54 3.04 6.86 0.56 5 19,503,296 2.79
10. see saw
see
seeing
seen 		Verb 14 -4.08 6.55 8.09 0.69 11 8,109,314 6.7
11. should should Verb 7 -3.88 4.31 6.16 0.53 5 19,915,793 2.73
12. will will
wo 		Verb 23 -3.76 8.21 8.11 0.68 13 8,828,801 6.16
13. take take
taken
took 		Verb 14 -3.6 6.64 6.69 0.63 10 9,116,896 5.96
14. think think
thought 		Verb 11 -3.54 5.87 6.12 0.59 7 13,013,584 4.18
15. may may Verb 8 -3.48 4.84 5.47 0.57 6 26,459,213 2.05
16. could could Verb 13 -3.42 6.44 6.08 0.57 9 9,074,434 5.99
17. would would Verb 32 -2.52 9.47 4.49 0.51 14 7,176,757 7.57
18. become became Verb 5 -2.44 3.58 2.86 0.34 3 27,387,221 1.98
19. come came
come
coming 		Verb 15 -2.04 7.2 2.75 0.61 8 8,400,627 6.47
20. get get
getting
got 		Verb 24 -1.98 8.68 2.84 0.62 13 6,296,855 8.63
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