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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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excelSpreadsheet
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TTEST
MI3
CHISQ
JD
R
AWT
fAWT
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. teach taught
teach
teaching
Verb 10 2.99 10.84 164.52 0.7 10 9,064,872 6
2. should should Verb 17 2.32 9.36 12.34 0.36 4 28,388,408 1.91
3. ask ask
asked
Verb 6 0.84 5.78 1.08 0.48 4 28,991,719 1.88
4. will will Verb 20 0.51 8.82 0.3 0.69 13 7,078,517 7.68
5. tell tell
told
Verb 6 0.41 5.43 0.2 0.53 5 16,753,713 3.24
6. use use
used
using
Verb 8 -0.09 5.95 0.01 0.61 7 13,936,034 3.9
7. take take
taking
took
Verb 11 -0.26 6.81 0.06 0.5 7 12,334,736 4.41
8. may may Verb 7 -0.26 5.48 0.06 0.45 4 28,828,842 1.89
9. give gave
give
given
gives
Verb 6 -1.04 4.66 0.77 0.53 5 18,537,338 2.93
10. can can Verb 9 -2.96 5.35 4.52 0.55 6 15,345,995 3.54
11. say said
says
Verb 10 -3.68 5.53 6.42 0.61 7 16,275,033 3.34
12. get get
getting
got
Verb 5 -4.27 3.1 6.38 0.56 5 22,964,715 2.37
13. would 'd
would
Verb 5 -6.69 2.65 11.49 0.56 5 19,501,400 2.79
14. have had
has
have
Verb 43 -6.7 9.84 24.74 0.79 28 2,835,733 19.17
15. do do
does
done
Verb 6 -12.43 2.57 26.58 0.43 4 19,011,358 2.86
16. be 's
am
are
be
been
being
is
was
were
Verb 105 -17.13 12.01 164.53 0.8 42 1,709,068 31.81
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