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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. redress redress
redresses
redressing 		Verb 24 4.9 19.82 38,575.75 0.8 22 4,660,963 11.66
2. correct correct
correcting 		Verb 20 4.45 16.5 4,583.6 0.57 12 9,418,525 5.77
3. cause cause
caused
causes
causing 		Verb 13 3.34 11.15 150.23 0.7 11 10,172,682 5.34
4. arise arise
arisen
arises
arising
arose 		Verb 8 2.67 10.15 126.25 0.57 6 13,378,276 4.06
5. create create
created
creates
creating 		Verb 8 2.47 8.97 47.76 0.66 8 13,572,568 4.01
6. rectify rectify Verb 5 2.23 12.51 1,153.46 0.56 5 14,273,449 3.81
7. occur occur
occurred
occurs 		Verb 6 2.15 8.19 37.6 0.53 5 27,913,496 1.95
8. show show
shows 		Verb 5 0.99 5.48 1.75 0.56 5 18,222,842 2.98
9. may may Verb 6 0.26 5.33 0.07 0.6 6 14,000,939 3.88
10. can can Verb 10 -0.79 6.32 0.51 0.7 10 8,762,704 6.2
11. have had
has
have 		Verb 20 -9.09 7.04 30.38 0.76 17 4,119,731 13.19
12. be 's
are
be
been
being
is
was
were 		Verb 91 -10.98 11.91 84 0.87 50 1,811,524 30.01
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