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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. be 'm
're
's
are
be
been
being
is
was
were 		Verb 182 -13.02 14.04 129.22 0.9 74 753,465 72.15
2. have had
has
have
having 		Verb 41 -10.9 9.28 49.03 0.79 26 3,282,146 16.56
3. can can Verb 8 -5.24 4.49 9.83 0.61 7 11,811,551 4.6
4. will will Verb 8 -5.16 4.5 9.63 0.61 7 13,068,799 4.16
5. see saw
see
seen 		Verb 5 -4.97 2.96 7.78 0.56 5 18,764,123 2.9
6. take take
taken
takes 		Verb 5 -4.52 3.05 6.86 0.48 4 16,203,902 3.35
7. say said
say
saying
says 		Verb 12 -4.5 5.97 9.03 0.62 8 15,569,761 3.49
8. may may Verb 5 -2.15 3.67 2.38 0.56 5 28,807,660 1.89
9. give gave
give
given
giving 		Verb 6 -2 4.31 2.22 0.53 5 15,847,006 3.43
10. tell tell
told 		Verb 6 -0.16 5.08 0.02 0.38 3 19,669,197 2.76
11. show show
showed
shown 		Verb 5 -0.05 4.61 0 0.48 4 18,458,390 2.94
12. find find
finding
finds
found 		Verb 9 0.22 6.45 0.05 0.61 7 17,681,230 3.07
13. suffer suffered Verb 5 1.78 6.94 15.64 0.56 5 14,910,703 3.65
14. treat treat
treated 		Verb 6 2.04 7.76 25.1 0.53 5 16,765,699 3.24
15. rescue rescue
rescued
rescuing 		Verb 6 2.39 10.58 244.12 0.53 5 17,978,060 3.02
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