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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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CHISQ
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. end end
ended
ending
ends 		Verb 15 3.24 10.43 64.24 0.72 13 6,011,770 9.04
2. dawn dawned
dawning
dawns 		Verb 10 3.13 13.41 1,067.4 0.58 7 10,555,326 5.15
3. enter enter
entered
entering 		Verb 10 2.37 8.64 22.31 0.7 10 10,349,211 5.25
4. begin began
beginning
begins
begun 		Verb 13 1.59 8.24 4.56 0.7 11 9,194,152 5.91
5. represent represent
represented
represents 		Verb 5 0.99 5.49 1.77 0.56 5 15,499,692 3.51
6. open opened
opening 		Verb 5 0.45 4.96 0.25 0.48 4 16,975,194 3.2
7. give gave
give
given
gives 		Verb 6 -6.79 3.26 12.34 0.53 5 18,840,775 2.89
8. see saw
see 		Verb 10 -7.41 4.9 16.69 0.66 9 10,796,699 5.03
9. could could Verb 7 -8.29 3.57 16.86 0.63 7 9,463,682 5.74
10. come came
comes
coming 		Verb 5 -9.46 2.26 17.31 0.56 5 18,843,752 2.88
11. will will Verb 11 -10.83 4.83 28.09 0.71 11 10,183,117 5.34
12. go go
gone
went 		Verb 5 -16.05 1.61 32.09 0.56 5 14,237,761 3.82
13. say said
say 		Verb 5 -23.37 1.13 48.96 0.48 4 22,751,416 2.39
14. have had
has
have
having 		Verb 55 -23.61 9.5 148.53 0.84 39 2,398,567 22.66
15. be 's
are
be
been
being
is
was
were 		Verb 197 -38.87 13.33 600.48 0.91 77 1,033,633 52.59
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