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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. use use
used
uses
using
Verb 30 3.29 11.14 27.33 0.77 21 5,158,929 10.54
2. place place
placed
Verb 10 2.7 9.43 50.59 0.58 7 11,924,152 4.56
3. indicate indicate
indicated
indicates
indicating
Verb 8 2.4 8.73 38.41 0.66 8 9,442,670 5.76
4. show show
showed
showing
shown
shows
Verb 15 2.37 9.18 14.64 0.65 9 9,938,797 5.47
5. contain contain
contained
containing
Verb 5 1.45 6.14 5.92 0.48 4 15,425,596 3.52
6. call called Verb 6 0.36 5.4 0.15 0.53 5 20,468,583 2.66
7. become became
become
becomes
becoming
Verb 7 0.17 5.71 0.03 0.63 7 10,135,510 5.36
8. put put
puts
Verb 6 -0.29 5.01 0.08 0.6 6 23,336,158 2.33
9. may may Verb 10 -0.37 6.48 0.12 0.58 7 17,321,293 3.14
10. leave leave
leaving
left
Verb 5 -0.44 4.38 0.16 0.48 4 18,415,500 2.95
11. can can Verb 21 -1.08 8.48 0.96 0.64 11 9,583,630 5.67
12. find find
found
Verb 6 -1.42 4.51 1.29 0.38 3 20,782,428 2.62
13. make made
make
MAKES
making
Verb 10 -3.4 5.59 5.67 0.52 6 13,453,976 4.04
14. see saw
see
seen
Verb 6 -5.03 3.56 8.42 0.53 5 21,798,900 2.49
15. would would Verb 6 -9.37 2.9 18.64 0.6 6 16,600,914 3.27
16. do did
do
does
doing
Verb 10 -13.55 4.24 36.31 0.58 7 8,999,446 6.04
17. be 're
's
are
be
been
being
is
was
were
Verb 183 -16.55 13.88 184.49 0.77 47 1,698,576 32
18. have had
has
have
Verb 27 -19.06 7.29 86.78 0.77 20 4,080,211 13.32
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