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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. marry married
marry 		Verb 11 3.09 10.8 140.45 0.55 7 12,685,482 4.29
2. play play
played
playing
plays 		Verb 15 2.94 9.87 35.95 0.72 13 6,655,993 8.17
3. support Supporting Verb 5 1.4 6.06 5.23 0.34 3 28,945,412 1.88
4. win wins
won 		Verb 5 1.18 5.73 2.97 0.48 4 34,302,861 1.58
5. call call
called
calling 		Verb 6 0.32 5.37 0.12 0.6 6 13,484,524 4.03
6. turn turned Verb 5 0.26 4.82 0.08 0.48 4 19,739,427 2.75
7. become became
become
becoming 		Verb 7 0.12 5.68 0.02 0.58 6 16,574,702 3.28
8. find find
found 		Verb 5 -2.09 3.69 2.28 0.56 5 13,496,118 4.03
9. could could Verb 7 -3.47 4.41 5.27 0.53 5 16,717,948 3.25
10. think think
thought 		Verb 5 -4.25 3.11 6.3 0.56 5 11,870,194 4.58
11. say said
say
says 		Verb 13 -5.27 6.1 11.57 0.72 12 13,270,421 4.1
12. know knew
know
known 		Verb 5 -5.81 2.8 9.52 0.56 5 13,802,895 3.94
13. can can Verb 8 -6.53 4.27 13.16 0.57 6 13,473,963 4.03
14. go go
going
gone
went 		Verb 6 -6.87 3.24 12.65 0.6 6 14,157,209 3.84
15. would would Verb 5 -10.97 2.08 20.86 0.48 4 22,013,612 2.47
16. have 'd
had
has
have 		Verb 38 -14.68 8.74 71.09 0.79 26 2,929,589 18.56
17. be 'm
're
's
are
be
been
being
is
was
were 		Verb 171 -18.65 13.56 214.68 0.86 62 1,109,496 48.99
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