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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. ban ban
banned
banning 		Verb 8 2.71 10.63 182.68 0.36 3 41,738,007 1.3
2. quarrying quarrying Verb 5 2.24 16.02 13,266.04 0.48 4 17,124,253 3.17
3. remain remained
remains 		Verb 6 1.2 6.14 2.83 0.48 4 14,935,313 3.64
4. bring bring
brought 		Verb 6 0.41 5.44 0.2 0.29 3 22,360,170 2.43
5. should should Verb 7 -2.21 4.74 2.69 0.58 6 18,925,299 2.87
6. could could Verb 9 -3.28 5.27 5.22 0.64 8 12,183,996 4.46
7. take taken
took 		Verb 8 -4.4 4.65 7.68 0.61 7 13,210,930 4.11
8. would would Verb 15 -5.01 6.62 11.22 0.59 8 8,996,176 6.04
9. go go
goes
going
went 		Verb 7 -7.42 3.69 14.74 0.13 2 51,562,052 1.05
10. make made
make
makes
making 		Verb 5 -8.8 2.34 15.96 0.56 5 12,300,039 4.42
11. will will Verb 5 -11.43 2.03 21.83 0.56 5 28,912,265 1.88
12. have had
has
have 		Verb 52 -13.57 9.87 71.23 0.72 25 4,179,968 13
13. do did
do
doing
done 		Verb 6 -23.2 1.78 53.72 0.53 5 15,891,679 3.42
14. be 'm
are
be
been
being
is
was
were 		Verb 146 -27.94 12.65 353.09 0.8 56 1,420,116 38.28
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