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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
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. have had
has
have 		Verb 16 -22.44 5.28 84.94 0.74 14 8,136,027 6.68
2. be 's
are
be
been
being
is
was
were 		Verb 137 -17.46 12.88 183.27 0.74 31 2,530,553 21.48
3. will will Verb 9 -4.19 5.08 7.48 0.58 6 12,171,476 4.47
4. can can Verb 13 -2.43 6.66 3.61 0.62 8 14,092,155 3.86
5. may may Verb 7 -0.9 5.19 0.6 0.63 7 10,834,532 5.02
6. become became
become
becomes
becoming 		Verb 6 0.21 5.3 0.05 0.53 5 20,247,486 2.68
7. hold held
hold 		Verb 6 0.88 5.81 1.22 0.53 5 15,956,991 3.41
8. pass pass
passing 		Verb 5 1.51 6.27 7.11 0.34 3 26,839,405 2.03
9. contain contain
contained
containing
contains 		Verb 6 1.84 7.19 13.78 0.6 6 18,412,393 2.95
10. produce produce
produced
produces
producing 		Verb 8 1.95 7.69 12.27 0.23 3 22,193,915 2.45
11. bind bind
binds
bound 		Verb 6 2.26 8.89 67.49 0.53 5 19,967,453 2.72
12. form form
formed
forming
forms 		Verb 10 2.69 9.38 48.28 0.58 7 10,987,934 4.95
13. charge charge
charged 		Verb 13 3.45 11.93 275.2 0.62 7 13,389,581 4.06
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