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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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R
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. be are
be
been
being
is
was
were 		Verb 77 -23.99 10.63 230.89 0.85 41 1,796,065 30.27
2. have had
has
have 		Verb 29 -11.16 8.1 45.18 0.78 20 4,451,229 12.21
3. do did
do
does 		Verb 8 -10.38 3.78 24.1 0.66 8 10,327,333 5.26
4. would would Verb 7 -5.09 4.07 9.07 0.58 6 13,433,480 4.05
5. mean mean
means
meant 		Verb 5 0.21 4.79 0.05 0.56 5 15,199,862 3.58
6. use use
used
using 		Verb 10 0.48 6.88 0.28 0.7 10 10,116,445 5.37
7. provide Provide Verb 5 0.66 5.15 0.63 0.56 5 11,868,197 4.58
8. need need
needed 		Verb 7 0.94 6.25 1.39 0.63 7 14,157,154 3.84
9. stand Standing Verb 5 1.32 5.93 4.28 0.28 2 41,346,644 1.31
10. increase increase
increased 		Verb 6 1.91 7.34 16.39 0.48 4 17,833,926 3.05
11. reduce reduce
Reducing 		Verb 6 1.95 7.46 18.55 0.6 6 14,222,068 3.82
12. relate related
relating 		Verb 6 2.07 7.87 27.93 0.48 4 20,459,224 2.66
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