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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
's
are
be
been
being
is
was
were 		Verb 83 -24.64 10.86 245.47 0.81 38 2,324,984 23.38
2. do do
does 		Verb 5 -15.62 1.65 31.94 0.34 3 18,154,000 2.99
3. have 'd
had
has
have
having 		Verb 29 -12.3 8 51.38 0.72 15 6,062,790 8.97
4. would 'd
would 		Verb 8 -4.91 4.55 9.02 0.54 6 12,622,926 4.31
5. know knew
known
knows 		Verb 5 -3.73 3.23 5.29 0.48 4 27,951,887 1.94
6. see saw
see 		Verb 6 -3.2 3.96 4.52 0.15 2 39,945,621 1.36
7. make made
make
making 		Verb 8 -2.72 5.03 3.83 0.54 6 19,486,422 2.79
8. think think
thinking
thought 		Verb 6 -1.94 4.33 2.13 0.29 3 45,950,462 1.18
9. tell tell
told 		Verb 5 -0.22 4.51 0.04 0.34 3 48,889,975 1.11
10. leave leave
leaving
left 		Verb 7 0.94 6.24 1.36 0.38 4 29,157,820 1.86
11. meet meet
met 		Verb 5 1.21 5.76 3.18 0.48 4 17,544,852 3.1
12. die died Verb 6 1.8 7.08 12.15 0.15 2 37,667,443 1.44
13. say said
say
saying
says 		Verb 36 2.05 10.94 6.54 0.6 12 7,616,050 7.14
14. dominate dominate
dominates 		Verb 5 2.09 8.6 67.88 -0.01 1 54,359,371 1
15. smile smiled Verb 7 2.36 8.8 50.7 0.13 2 28,423,013 1.91
16. marry married Verb 7 2.44 9.27 74.9 0.13 2 28,050,705 1.94
17. tease teased Verb 10 3.14 13.92 1,530.57 -0.01 1 54,355,332 1
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