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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. base based Verb 11 2.78 9.55 48.05 0.31 3 22,065,209 2.46
2. 's 's Verb 11 2.23 8.52 15.12 0.3 3 23,107,448 2.35
3. employ employ
employed 		Verb 5 1.91 7.43 25.25 0.48 4 23,414,277 2.32
4. remove remove
removes
removing 		Verb 5 1.77 6.9 14.95 0.56 5 15,029,661 3.62
5. use use
used
uses
using 		Verb 14 0.75 7.94 0.7 0.71 12 6,003,405 9.05
6. pay pay
paying 		Verb 5 0.69 5.17 0.69 0.48 4 28,810,720 1.89
7. should should Verb 12 0.55 7.42 0.36 0.39 6 12,139,486 4.48
8. need need
needed 		Verb 5 -0.43 4.39 0.15 0.56 5 15,522,585 3.5
9. come came
come
coming 		Verb 9 -1.46 5.77 1.46 0.64 8 15,164,478 3.58
10. can can Verb 12 -3.54 6.15 6.33 0.66 10 10,918,352 4.98
11. go go
gone
went 		Verb 9 -3.98 5.12 6.93 0.64 8 11,222,714 4.84
12. get get
getting
got 		Verb 8 -4.14 4.7 7.09 0.57 6 36,713,787 1.48
13. will will
wo 		Verb 8 -5.67 4.41 10.92 0.66 8 9,294,776 5.85
14. make made
make
making 		Verb 5 -6.44 2.69 10.88 0.56 5 15,091,827 3.6
15. do did
do
does
done 		Verb 18 -7.4 6.88 20.85 0.71 13 8,644,899 6.29
16. say said
say
saying 		Verb 6 -9.52 2.88 19.04 0.6 6 12,869,755 4.22
17. have 'd
've
had
has
have
having 		Verb 45 -10.85 9.6 50.17 0.8 29 5,434,829 10
18. be 're
's
are
be
been
being
is
was
were 		Verb 106 -26.64 11.61 296.31 0.75 49 1,639,115 33.16
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