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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:
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. 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
2. have 'd
've
had
has
have
having 		Verb 45 -10.85 9.6 50.17 0.8 29 5,434,829 10
3. say said
say
saying 		Verb 6 -9.52 2.88 19.04 0.6 6 12,869,755 4.22
4. do did
do
does
done 		Verb 18 -7.4 6.88 20.85 0.71 13 8,644,899 6.29
5. make made
make
making 		Verb 5 -6.44 2.69 10.88 0.56 5 15,091,827 3.6
6. will will
wo 		Verb 8 -5.67 4.41 10.92 0.66 8 9,294,776 5.85
7. get get
getting
got 		Verb 8 -4.14 4.7 7.09 0.57 6 36,713,787 1.48
8. go go
gone
went 		Verb 9 -3.98 5.12 6.93 0.64 8 11,222,714 4.84
9. can can Verb 12 -3.54 6.15 6.33 0.66 10 10,918,352 4.98
10. come came
come
coming 		Verb 9 -1.46 5.77 1.46 0.64 8 15,164,478 3.58
11. need need
needed 		Verb 5 -0.43 4.39 0.15 0.56 5 15,522,585 3.5
12. should should Verb 12 0.55 7.42 0.36 0.39 6 12,139,486 4.48
13. pay pay
paying 		Verb 5 0.69 5.17 0.69 0.48 4 28,810,720 1.89
14. use use
used
uses
using 		Verb 14 0.75 7.94 0.7 0.71 12 6,003,405 9.05
15. remove remove
removes
removing 		Verb 5 1.77 6.9 14.95 0.56 5 15,029,661 3.62
16. employ employ
employed 		Verb 5 1.91 7.43 25.25 0.48 4 23,414,277 2.32
17. 's 's Verb 11 2.23 8.52 15.12 0.3 3 23,107,448 2.35
18. base based Verb 11 2.78 9.55 48.05 0.31 3 22,065,209 2.46
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