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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. show show
shows
Verb 26 4.61 12.79 224.62 -0.01 1 54,321,198 1
2. see saw
see
seen
Verb 27 3.69 11.3 47.82 0.32 8 14,118,705 3.85
3. use use
uses
using
Verb 16 2.72 9.65 23.42 0.51 8 9,429,140 5.77
4. split split Verb 5 2.19 10.14 215.95 -0.01 1 54,338,763 1
5. hand handed Verb 5 2.14 9.2 107.86 0.48 4 27,357,367 1.99
6. focus focused
Focusing
Verb 5 2.13 9.08 98.67 0.56 5 20,468,916 2.66
7. bring bring
brought
Verb 7 1.97 7.58 15.21 0.26 3 26,726,624 2.03
8. need need
needed
Verb 6 1.34 6.31 3.99 0.53 5 13,995,254 3.88
9. look looked
looking
looks
Verb 7 0.91 6.22 1.26 0.53 5 21,422,137 2.54
10. take taken
Taking
took
Verb 9 0.56 6.64 0.39 0.64 8 10,301,053 5.28
11. could could Verb 8 0.44 6.24 0.23 0.57 6 11,729,398 4.63
12. will will Verb 12 0.3 7.3 0.1 0.16 3 28,591,652 1.9
13. make made
make
Verb 6 -1.16 4.61 0.94 0.15 2 32,084,021 1.69
14. can can Verb 6 -2.07 4.29 2.37 0.29 3 32,959,214 1.65
15. have had
has
have
Verb 11 -12.89 4.63 37.91 0.68 10 9,115,403 5.96
16. be are
be
been
is
was
were
Verb 42 -20.29 8.74 149.3 0.46 12 5,791,356 9.39
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