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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. be are
be
been
being
is
was
were
Verb 81 -15.04 11.26 126.88 0.85 43 2,139,273 25.41
2. do did
do
Verb 13 -4.19 6.29 8.49 0.7 11 7,978,706 6.81
3. have had
has
have
having
Verb 41 -4.07 10.01 11.28 0.83 31 2,543,828 21.37
4. will will Verb 5 -3.88 3.19 5.62 0.48 4 17,206,244 3.16
5. go go Verb 6 -2.41 4.18 2.99 0.6 6 12,954,596 4.2
6. would would Verb 9 -2.13 5.57 2.72 0.61 7 10,456,554 5.2
7. get get
got
Verb 6 -2.13 4.27 2.47 0.6 6 17,893,873 3.04
8. take take Verb 5 -1.85 3.77 1.9 0.56 5 27,834,967 1.95
9. may may Verb 5 -0.42 4.4 0.15 0.48 4 22,904,086 2.37
10. find find
found
Verb 5 -0.02 4.63 0 0.56 5 14,771,035 3.68
11. feel feeling
felt
Verb 5 0.88 5.36 1.27 0.56 5 22,277,170 2.44
12. become became
become
becomes
Verb 6 1.03 5.96 1.83 0.6 6 11,206,051 4.85
13. leave leave
leaves
left
Verb 6 1.15 6.08 2.5 0.53 5 18,249,204 2.98
14. follow follow
followed
Verb 5 1.18 5.73 2.96 0.56 5 19,193,584 2.83
15. show show
showed
showing
shown
shows
Verb 30 4.91 13.09 235.73 0.81 25 4,267,222 12.74
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