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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. feature featured
features
featuring 		Verb 7 2.5 9.8 113.57 0.26 3 26,736,976 2.03
2. racing racing Verb 5 2.17 9.82 171.01 0.56 5 26,176,232 2.08
3. adopt adopted Verb 6 2.09 7.94 29.9 0.6 6 18,113,195 3
4. base based Verb 7 1.9 7.45 12.98 0.49 5 18,513,119 2.94
5. include include
included
includes 		Verb 9 1.81 7.67 8.22 0.58 7 16,693,894 3.26
6. introduce introduced Verb 5 1.58 6.42 8.62 0.34 3 29,674,293 1.83
7. show show
showed
showing
shown
shows 		Verb 7 0.38 5.84 0.17 0.63 7 15,000,146 3.62
8. provide provided
provides 		Verb 6 0.35 5.39 0.15 0.15 2 30,889,824 1.76
9. use use
used
using 		Verb 7 -2.03 4.79 2.36 0.63 7 11,976,447 4.54
10. will will Verb 14 -3.35 6.69 6.06 0.75 14 7,503,079 7.24
11. give give
given
giving 		Verb 5 -3.49 3.29 4.8 0.56 5 16,593,975 3.28
12. see see Verb 7 -4.51 4.18 7.63 0.58 6 12,585,089 4.32
13. get get
got 		Verb 5 -7.51 2.52 13.16 0.56 5 15,290,567 3.56
14. can can Verb 5 -9.75 2.22 18.12 0.56 5 23,769,777 2.29
15. would would Verb 5 -11.13 2.06 21.24 0.48 4 14,917,600 3.64
16. have had
has
have
having 		Verb 28 -19.31 7.4 89.41 0.77 21 3,049,772 17.82
17. be 's
are
be
been
being
is
was
were 		Verb 121 -27.19 12.04 319.06 0.83 57 1,218,949 44.6
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