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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. discover DISCOVER
discovered
discovering 		Verb 6 2.17 8.28 40.48 0.29 3 19,276,769 2.82
2. land landed Verb 5 2.14 9.17 105.59 0.48 4 16,416,573 3.31
3. convert converted Verb 5 2.12 8.94 88.46 0.4 3 20,589,404 2.64
4. lead lead
leads
led 		Verb 8 2.05 7.86 15.22 0.54 5 19,168,672 2.84
5. suggest suggest
suggests 		Verb 6 1.67 6.83 8.83 0.29 2 28,840,713 1.88
6. give gave Verb 5 -1.55 3.88 1.44 0.34 3 22,141,282 2.46
7. take take
taken
taking
took 		Verb 6 -2.35 4.2 2.86 0.53 5 19,800,268 2.75
8. say said
say 		Verb 11 -3.15 5.96 5.23 0.34 5 13,524,526 4.02
9. make made Verb 6 -3.35 3.93 4.81 0.48 4 14,804,993 3.67
10. go go
going
went 		Verb 6 -3.8 3.82 5.77 0.43 4 20,507,494 2.65
11. would would Verb 6 -5.63 3.45 9.85 0.6 6 13,648,364 3.98
12. have had
has
have 		Verb 33 -9.26 8.7 36.6 0.66 13 6,051,899 8.98
13. be are
be
been
is
was
were 		Verb 72 -24.3 10.39 228.95 0.77 32 4,610,419 11.79
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