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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 's
are
be
been
being
is
was
were
Verb 94 -19.79 11.5 192.88 0.82 39 2,915,180 18.65
2. have had
has
have
having
Verb 17 -17.36 5.79 64.47 0.73 14 7,153,468 7.6
3. would would Verb 6 -5.85 3.41 10.36 0.48 4 20,240,161 2.69
4. can can Verb 10 -2.6 5.78 3.8 0.66 9 14,062,478 3.87
5. will will Verb 11 -2.13 6.2 2.82 0.68 10 12,832,687 4.24
6. may may Verb 6 -0.75 4.78 0.44 0.48 4 40,064,723 1.36
7. cut cut
cuts
cutting
Verb 5 1.68 6.65 11.36 0.56 5 20,527,987 2.65
8. determine determine
determined
determines
Verb 5 1.87 7.26 21.43 0.48 4 14,611,425 3.72
9. affect affect
affecting
affects
Verb 6 2.09 7.94 29.78 0.6 6 13,596,725 4
10. achieve achieve
achieved
achieves
Verb 8 2.42 8.78 40.3 0.61 7 16,728,456 3.25
11. return return
returned
Verb 9 2.5 8.92 37.22 0.64 8 12,139,486 4.48
12. maintain maintain
maintained
maintaining
Verb 14 3.51 11.66 203.51 0.65 9 8,651,890 6.28
13. reduce reduce
reduced
reduces
reducing
Verb 17 3.83 11.97 204.03 0.71 13 6,868,359 7.91
14. increase increase
increased
increases
increasing
Verb 18 3.93 12.1 210.33 0.76 16 5,231,294 10.39
15. improve improve
improved
improving
Verb 31 5.43 15.27 1,215.45 0.72 17 4,150,979 13.1
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