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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. run ran
run
running
runs 		Verb 19 3.28 10.51 43.58 0.65 10 10,667,577 5.1
2. cut cut
cutting 		Verb 9 2.28 8.4 21.76 0.43 4 18,779,610 2.89
3. thread thread Verb 5 2.21 11.25 477.8 0.4 3 40,341,280 1.35
4. associate associated Verb 6 2.06 7.82 26.54 0.29 3 35,986,297 1.51
5. occur occur
occurred
occurs 		Verb 7 1.94 7.52 14.13 0.26 3 33,647,554 1.62
6. stand stand
standing
stood 		Verb 9 1.82 7.69 8.52 0.68 9 8,955,541 6.07
7. fill fill
filled
filling
fills 		Verb 5 1.68 6.64 11.24 0.56 5 17,317,734 3.14
8. show show
showed
shown
shows 		Verb 13 1.64 8.28 5 0.64 9 10,812,010 5.03
9. leave leave
leaves
leaving
left 		Verb 6 -0.53 4.89 0.23 0.6 6 20,420,367 2.66
10. may may Verb 10 -1.14 6.2 0.96 0.49 5 15,385,997 3.53
11. find find
found 		Verb 6 -2.27 4.22 2.69 0.6 6 17,078,554 3.18
12. get get
got 		Verb 5 -9.26 2.28 16.97 0.56 5 19,978,277 2.72
13. have had
has
have
having 		Verb 36 -19.59 8.25 100.33 0.75 22 3,935,431 13.81
14. do did
do
done 		Verb 6 -23.83 1.75 55.33 0.6 6 13,167,721 4.13
15. be 's
are
be
been
being
is
was
were 		Verb 111 -36.5 11.43 447.09 0.81 48 1,715,989 31.68
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