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