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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:
Collocate's part of speech:
excelSpreadsheet
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. call called Verb 9 1.4 7.24 3.67 0.68 9 16,057,663 3.39
2. tell tell
tells
told 		Verb 9 0.73 6.74 0.71 0.55 6 23,009,513 2.36
3. say said
say
says 		Verb 32 0.45 10.12 0.23 0.62 12 6,864,594 7.92
4. ask asked Verb 5 -0.17 4.54 0.03 0.34 3 29,609,998 1.84
5. see saw
see
seen 		Verb 12 -1.5 6.65 1.6 0.49 6 15,423,937 3.52
6. find finding
found 		Verb 5 -1.75 3.81 1.73 0.56 5 15,744,685 3.45
7. look looked
looking
looks 		Verb 5 -2.29 3.63 2.62 0.56 5 15,077,329 3.61
8. give gave
give
given 		Verb 5 -2.97 3.43 3.82 0.48 4 22,648,912 2.4
9. make Made
make 		Verb 7 -4.72 4.14 8.14 0.63 7 19,974,245 2.72
10. go go
went 		Verb 5 -7.17 2.57 12.45 0.56 5 13,485,907 4.03
11. will will Verb 6 -7.4 3.16 13.91 0.29 3 32,026,855 1.7
12. would would Verb 6 -8.65 2.99 16.9 0.43 4 19,114,778 2.84
13. have had
has
have 		Verb 52 -9.2 10.21 41.45 0.6 18 6,171,601 8.81
14. do did
do
does
doing 		Verb 13 -10.15 5.47 28.24 0.68 11 10,772,612 5.05
15. be 's
am
are
be
been
being
is
Was
were 		Verb 107 -26.58 11.65 296.44 0.75 42 2,209,168 24.61
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