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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 are
be
been
is
was
were 		Verb 40 -18.01 8.7 126.26 0.79 26 5,227,078 10.4
2. have had
has
have 		Verb 9 -12.89 3.93 34.98 0.68 9 10,775,264 5.04
3. can can Verb 5 -2.15 3.67 2.41 0.56 5 32,805,643 1.66
4. make made
make
makes
making 		Verb 7 -0.32 5.45 0.09 0.58 6 19,033,446 2.86
5. will will Verb 10 0.09 6.68 0.01 0.64 8 12,919,006 4.21
6. increase increase
increasing 		Verb 5 1.92 7.45 25.82 0.48 4 36,169,249 1.5
7. avoid avoid
avoiding 		Verb 7 2.48 9.6 97.13 0.58 6 15,659,603 3.47
8. cost costs Verb 8 2.7 10.43 156.64 0.42 4 20,313,353 2.68
9. cause cause
caused
causes
causing 		Verb 14 3.54 11.82 231.35 0.68 11 11,325,825 4.8
10. reduce reduce
reduces
reducing 		Verb 16 3.84 12.6 358.31 0.69 11 7,775,298 6.99
11. relieve relieve
relieved
relieving 		Verb 19 4.35 17.1 7,337.22 0.78 18 5,144,383 10.57
12. ease ease
easing 		Verb 23 4.78 17.08 5,993.6 0.76 18 7,388,342 7.36
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