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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. cover cover
covering
covers 		Verb 15 3.55 11.42 153.59 0.65 10 9,308,948 5.84
2. teaching teaching Verb 7 2.59 11.16 312.18 0.58 6 13,204,423 4.12
3. include include
included
includes 		Verb 9 2.22 8.28 18.96 0.68 9 10,425,186 5.21
4. devise devise
devised
devising 		Verb 5 2.17 9.72 158.43 0.56 5 40,449,192 1.34
5. define define
defined
defines
defining 		Verb 5 1.95 7.63 30.38 0.56 5 11,849,831 4.59
6. base based
basing 		Verb 6 1.93 7.4 17.38 0.53 5 19,357,130 2.81
7. design designed Verb 5 1.89 7.33 23.04 0.48 4 18,527,934 2.93
8. provide provide
provided
provides 		Verb 6 1.08 6.01 2.08 0.53 5 14,126,937 3.85
9. write write
writing
written
wrote 		Verb 5 1.08 5.59 2.25 0.48 4 19,077,922 2.85
10. follow follow
followed
following 		Verb 5 0.89 5.38 1.34 0.48 4 16,675,677 3.26
11. may may Verb 7 -0.21 5.51 0.04 0.53 5 19,117,743 2.84
12. should should Verb 5 -1.03 4.1 0.73 0.56 5 14,477,095 3.75
13. get get
getting
got 		Verb 7 -2.74 4.59 3.76 0.49 5 14,970,001 3.63
14. will will Verb 8 -3.31 4.88 5.16 0.61 7 9,833,185 5.53
15. would would Verb 5 -6.51 2.68 11.1 0.56 5 15,658,407 3.47
16. have 've
had
has
have
having 		Verb 33 -9.08 8.72 35.63 0.79 25 4,685,941 11.6
17. do did
Do
does
done 		Verb 8 -9.8 3.84 22.47 0.57 6 13,953,642 3.9
18. be 's
are
be
been
being
is
was
were 		Verb 104 -16.76 12 159.13 0.77 39 2,645,487 20.55
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