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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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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. apply applied
apply 		Verb 32 5.38 14.36 596.75 0.57 10 6,956,045 7.81
2. induce induce
induced 		Verb 15 3.83 14.28 1,292.89 0.31 3 21,293,528 2.55
3. gated gated Verb 9 3 18.85 52,578.8 -0.01 1 54,355,240 1
4. measure measure
measured
measuring 		Verb 9 2.83 10.51 144.28 0.47 5 13,560,168 4.01
5. increase increase
increased
increases
increasing 		Verb 9 2.49 8.88 36.1 0.5 6 10,929,170 4.97
6. reduce reduce
reduced
reduces
reducing 		Verb 6 1.87 7.25 14.73 0.53 5 13,540,737 4.01
7. change change
changed
changes
changing 		Verb 7 1.83 7.32 11 0.49 5 11,096,556 4.9
8. produce produce
produced
produces
producing 		Verb 7 1.73 7.14 8.65 0.53 5 17,179,588 3.16
9. require required
requires 		Verb 5 1.22 5.77 3.24 0.34 3 25,597,760 2.12
10. must must Verb 8 0.82 6.5 0.96 0.23 3 19,508,589 2.79
11. use used
using 		Verb 10 0.06 6.67 0 0.52 6 16,843,044 3.23
12. should should Verb 8 -0.3 5.85 0.08 0.44 5 18,430,653 2.95
13. give give
given
gives 		Verb 8 -0.76 5.66 0.46 0.44 5 16,774,341 3.24
14. can ca
can 		Verb 18 -0.76 8.1 0.51 0.5 8 9,384,094 5.79
15. may may Verb 5 -1.85 3.77 1.89 0.4 3 26,049,163 2.09
16. will will Verb 12 -2.61 6.36 3.97 0.36 4 30,516,472 1.78
17. be 're
are
be
been
being
is
was
were 		Verb 185 -10.88 14.21 98.59 0.62 29 2,860,412 19
18. have had
has
have
having 		Verb 11 -27.8 3.69 91.83 0.48 6 11,713,788 4.64
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