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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. bring bring
brought 		Verb 8 1.85 7.53 9.97 0.51 5 17,817,853 3.05
2. return returned Verb 5 1.6 6.47 9.12 0.56 5 21,998,159 2.47
3. write wrote Verb 5 1.11 5.63 2.44 0.4 3 18,633,643 2.92
4. tell tell
told 		Verb 7 0.84 6.17 1.05 0.58 6 10,156,660 5.35
5. become became Verb 5 0.31 4.86 0.11 0.56 5 25,629,954 2.12
6. think think
thinking
thinks
thought 		Verb 6 -1.37 4.53 1.22 0.38 3 25,918,195 2.1
7. see saw
see
seen 		Verb 8 -1.43 5.41 1.38 0.34 4 25,384,029 2.14
8. would 'd
would 		Verb 9 -3.35 5.26 5.42 0.55 6 13,461,084 4.04
9. make made Verb 5 -3.87 3.19 5.58 0.56 5 16,976,671 3.2
10. have had
has
have 		Verb 46 -5.44 10.2 18.31 0.7 21 4,255,615 12.77
11. say said Verb 5 -6.99 2.6 12.16 0.56 5 16,854,756 3.23
12. do did
done 		Verb 7 -10.49 3.3 23.17 0.58 6 11,960,233 4.55
13. be 's
are
be
been
being
is
was
were 		Verb 86 -19.58 11.22 184.57 0.75 31 3,586,889 15.16
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