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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
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R
AWT
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. be 's
are
be
been
being
is
was
were 		Verb 85 -13.53 11.52 111.12 0.56 27 4,305,752 12.62
2. have had
has
have
having 		Verb 21 -9.6 7.15 33.19 0.66 13 7,259,814 7.49
3. do did
do
does 		Verb 8 -6.8 4.23 14.21 0.51 5 14,647,842 3.71
4. say say
says 		Verb 6 -4.15 3.74 6.57 0.6 6 12,832,618 4.24
5. can can Verb 5 -3.75 3.22 5.36 0.34 3 19,585,741 2.78
6. come come
comes 		Verb 6 -0.57 4.87 0.26 0.6 6 12,632,403 4.3
7. may may Verb 5 -0.34 4.44 0.1 0.17 2 46,133,429 1.18
8. become become
becomes
becoming 		Verb 6 1.07 6 2.05 0.53 5 15,581,031 3.49
9. lead lead
leads
led 		Verb 5 1.49 6.23 6.69 0.56 5 16,254,642 3.34
10. feed feed Verb 5 2.1 8.71 74.17 0.48 4 15,127,042 3.59
11. overcome overcome Verb 5 2.16 9.55 140.21 0.56 5 13,221,651 4.11
12. cause cause
caused
causes
causing 		Verb 9 2.66 9.46 61.44 0.61 7 16,253,718 3.34
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