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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
MI3
CHISQ
JD
R
AWT
fAWT
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. be am
be
been
being
is
was
were
Verb 59 -9.67 10.59 62.02 0.2 10 16,359,478 3.32
2. have had
has
having
Verb 28 -2.51 9.05 4.77 -0.01 1 54,312,805 1
3. take take
took
Verb 5 -0.28 4.47 0.07 -0.01 1 54,314,119 1
4. say said Verb 10 -0.09 6.6 0.01 0.09 2 30,486,134 1.78
5. could Could Verb 5 -0.09 4.59 0.01 -0.01 1 54,318,871 1
6. know knew
know
Verb 6 0.09 5.22 0.01 -0.01 1 54,343,492 1
7. give gave
give
Verb 5 0.42 4.94 0.22 -0.01 1 54,346,019 1
8. find find
found
Verb 5 0.85 5.33 1.16 -0.01 1 54,320,102 1
9. tell tell
telling
told
Verb 6 1.48 6.51 5.55 -0.01 1 54,325,897 1
10. seem seem
seemed
Verb 6 1.66 6.8 8.55 -0.01 1 54,318,077 1
11. come came
Come
Verb 10 1.68 7.73 6.07 -0.01 1 54,325,058 1
12. turn turned
turning
Verb 7 2.11 7.92 21.98 0.23 2 34,817,552 1.56
13. see saw
see
seen
Verb 14 2.14 8.84 10.81 -0.01 1 54,313,121 1
14. ask ask
asked
Verb 8 2.17 8.09 20.12 -0.01 1 54,328,333 1
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