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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. come came
come
comes 		Verb 35 2.96 11.26 17.75 0.82 27 3,961,918 13.72
2. enjoy enjoyed
enjoying 		Verb 7 2 7.64 16.28 0.63 7 19,195,322 2.83
3. mind mind
minds 		Verb 5 1.84 7.16 19.47 0.48 4 14,804,404 3.67
4. consider consider
considered 		Verb 5 0.7 5.18 0.71 0.48 4 21,821,953 2.49
5. mean mean
meant 		Verb 5 -1.26 4 1.02 0.48 4 20,991,696 2.59
6. see saw
see
seeing 		Verb 7 -5.81 3.94 10.72 0.63 7 14,606,894 3.72
7. take take
taken
took 		Verb 5 -7.15 2.57 12.35 0.56 5 11,144,120 4.88
8. make make
makes
making 		Verb 5 -9.09 2.3 16.61 0.56 5 20,424,313 2.66
9. would would Verb 7 -10.71 3.28 23.28 0.58 6 20,542,695 2.65
10. can can Verb 5 -11.93 1.98 22.95 0.56 5 14,995,775 3.62
11. do did
do
does
doing
done 		Verb 14 -13.5 5.41 41.33 0.75 14 6,097,935 8.91
12. say say
saying 		Verb 5 -14.89 1.71 29.71 0.34 3 20,377,167 2.67
13. have 've
had
has
have
having 		Verb 43 -16.91 9.01 89.06 0.81 31 2,870,202 18.94
14. be 'm
're
's
am
are
be
been
Being
is
was
were 		Verb 115 -35.58 11.58 439.26 0.89 59 1,250,450 43.47
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