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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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Part of speech:
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excelSpreadsheet
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. luther Luther Verb 7 2.65 17.52 26,822.3 -0.01 1 54,349,799 1
2. say said
says 		Verb 40 2.17 11.25 7.33 0.53 16 5,324,855 10.21
3. receive receive
received 		Verb 5 1.33 5.95 4.42 0.48 4 17,102,887 3.18
4. call called
calls 		Verb 7 1.02 6.32 1.72 0.58 6 18,768,935 2.9
5. tell tell
told 		Verb 7 0.35 5.82 0.14 0.58 6 14,114,285 3.85
6. look Look
looked
looks 		Verb 8 -0.37 5.82 0.12 0.42 4 18,124,782 3
7. give gave
give
given 		Verb 8 -0.84 5.62 0.56 0.54 6 17,278,643 3.15
8. think think
thinking
thinks
thought 		Verb 9 -0.98 5.93 0.73 0.52 5 11,789,946 4.61
9. could could Verb 8 -1.87 5.27 2.14 0.57 6 15,006,470 3.62
10. come came
come 		Verb 7 -1.89 4.84 2.11 0.58 6 14,830,855 3.67
11. make made
make 		Verb 9 -2.8 5.39 4.13 0.68 9 8,132,998 6.68
12. go go
going
gone
went 		Verb 5 -6.16 2.73 10.3 0.56 5 16,188,049 3.36
13. will will Verb 5 -7.4 2.54 12.98 0.17 2 27,429,465 1.98
14. have had
has
have
having 		Verb 51 -7.65 10.29 31.53 0.76 25 3,482,513 15.61
15. do did
does
doing 		Verb 8 -12.83 3.53 31.09 0.61 7 12,588,227 4.32
16. be 's
are
be
been
is
was
were 		Verb 104 -23.24 11.69 246.79 0.72 38 1,981,793 27.43
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