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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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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. reach reached
reaches
Verb 19 3.89 11.72 141.97 0.73 15 8,852,181 6.14
2. catch catch
caught
Verb 13 3.26 10.76 109.11 0.7 11 10,479,246 5.19
3. contract contracted Verb 7 2.6 11.32 351.29 0.63 7 14,351,347 3.79
4. cause cause
caused
causes
causing
Verb 10 2.58 9.09 36.31 0.61 8 9,733,356 5.58
5. die die
died
Verb 7 1.91 7.47 13.26 0.58 6 13,511,396 4.02
6. run run
running
runs
Verb 6 1.01 5.93 1.72 0.6 6 10,950,658 4.96
7. call call
called
Verb 7 0.87 6.19 1.14 0.49 4 16,205,371 3.35
8. include include Verb 5 0.82 5.3 1.05 0.48 4 20,712,975 2.62
9. may may Verb 10 -0.07 6.61 0.01 0.54 7 15,866,713 3.43
10. feel feel
feeling
felt
Verb 5 -0.1 4.58 0.01 0.4 3 21,000,216 2.59
11. get get
gets
got
Verb 13 -1.75 6.83 2.11 0.68 11 8,478,953 6.41
12. come came
come
comes
coming
Verb 8 -1.81 5.29 2.02 0.54 6 18,875,179 2.88
13. have had
has
have
having
Verb 81 -3.83 12.17 11.46 0.82 42 2,109,034 25.77
14. take take
taken
taking
took
Verb 6 -3.98 3.78 6.12 0.53 5 24,933,781 2.18
15. will will Verb 6 -7.16 3.2 13.35 0.6 6 24,305,614 2.24
16. would would Verb 7 -7.38 3.69 14.71 0.49 5 19,532,968 2.78
17. be 're
's
are
be
been
being
is
was
were
Verb 92 -29.26 11.03 316.56 0.81 45 1,949,840 27.88
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