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