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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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TTEST
MI3
CHISQ
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R
AWT
fAWT
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. be are
be
been
is
was
were
Verb 51 -30.09 8.96 260.18 0.57 11 8,484,795 6.41
2. do did
do
Verb 8 -9.38 3.89 21.31 0.34 4 14,327,365 3.79
3. have had
has
have
having
Verb 37 -7.46 9.26 27.88 0.56 8 18,252,524 2.98
4. will will Verb 5 -5.28 2.9 8.47 0.48 4 33,913,659 1.6
5. say said
saying
says
Verb 12 -2.46 6.4 3.62 0.6 7 24,755,597 2.2
6. would would Verb 11 -2.39 6.14 3.4 0.39 4 27,559,315 1.97
7. could could Verb 6 -1.78 4.38 1.86 0.29 3 44,728,294 1.22
8. see see
sees
Verb 8 -1.41 5.42 1.34 0.44 4 28,345,041 1.92
9. should should Verb 5 -0.92 4.15 0.61 0.48 4 21,570,160 2.52
10. meet meeting
met
Verb 5 1.35 5.97 4.57 0.4 3 31,862,954 1.71
11. fail fail
failed
fails
Verb 5 1.78 6.93 15.45 0.4 3 25,066,538 2.17
12. reject reject
rejected
rejecting
rejects
Verb 7 2.49 9.72 106.86 0.35 3 28,262,479 1.92
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