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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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TTEST
MI3
CHISQ
JD
R
AWT
fAWT
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. be 's
are
be
been
is
was
were
Verb 63 -20.62 10.11 177.05 0.62 25 4,484,359 12.12
2. have has
have
Verb 12 -16.81 4.62 53.83 0.55 7 10,342,237 5.26
3. would would Verb 5 -4.98 2.95 7.87 0.56 5 18,008,239 3.02
4. will will Verb 15 0.18 7.88 0.03 0.51 7 10,695,427 5.08
5. may may Verb 11 1.44 7.74 3.7 0.34 5 12,808,934 4.24
6. occur occurred
occurring
occurs
Verb 5 1.85 7.19 20.16 0.48 4 21,113,611 2.57
7. reduce reduce
reducing
Verb 7 2.28 8.47 37.59 0.26 3 27,052,012 2.01
8. limit limit
limiting
Verb 6 2.32 9.42 102.38 0.29 3 43,729,407 1.24
9. cause cause
caused
causing
Verb 13 3.3 10.94 126.48 0.66 10 11,399,903 4.77
10. combat combat Verb 13 3.59 15.61 3,832.32 0.35 5 24,336,221 2.23
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