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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
is
was
were 		Verb 104 -23.24 11.69 246.79 0.72 38 1,981,793 27.43
2. do did
does
doing 		Verb 8 -12.83 3.53 31.09 0.61 7 12,588,227 4.32
3. have had
has
have
having 		Verb 51 -7.65 10.29 31.53 0.76 25 3,482,513 15.61
4. will will Verb 5 -7.4 2.54 12.98 0.17 2 27,429,465 1.98
5. go go
going
gone
went 		Verb 5 -6.16 2.73 10.3 0.56 5 16,188,049 3.36
6. make made
make 		Verb 9 -2.8 5.39 4.13 0.68 9 8,132,998 6.68
7. come came
come 		Verb 7 -1.89 4.84 2.11 0.58 6 14,830,855 3.67
8. could could Verb 8 -1.87 5.27 2.14 0.57 6 15,006,470 3.62
9. think think
thinking
thinks
thought 		Verb 9 -0.98 5.93 0.73 0.52 5 11,789,946 4.61
10. give gave
give
given 		Verb 8 -0.84 5.62 0.56 0.54 6 17,278,643 3.15
11. look Look
looked
looks 		Verb 8 -0.37 5.82 0.12 0.42 4 18,124,782 3
12. tell tell
told 		Verb 7 0.35 5.82 0.14 0.58 6 14,114,285 3.85
13. call called
calls 		Verb 7 1.02 6.32 1.72 0.58 6 18,768,935 2.9
14. receive receive
received 		Verb 5 1.33 5.95 4.42 0.48 4 17,102,887 3.18
15. say said
says 		Verb 40 2.17 11.25 7.33 0.53 16 5,324,855 10.21
16. luther Luther Verb 7 2.65 17.52 26,822.3 -0.01 1 54,349,799 1
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