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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 's
are
be
is
was
were
Verb 103 -41.3 11.03 504.09 0.85 51 1,810,924 30.02
2. have had
has
have
Verb 26 -26.63 6.76 127.07 0.79 22 5,255,359 10.34
3. would would Verb 5 -14.38 1.75 28.51 0.48 4 15,581,305 3.49
4. say said
say
says
Verb 12 -8.16 5.42 20.37 0.62 8 9,464,795 5.74
5. know knew
know
known
Verb 5 -7.9 2.46 13.96 0.48 4 20,200,029 2.69
6. take take
taken
took
Verb 5 -7.63 2.5 13.39 0.56 5 19,918,674 2.73
7. go go
going
went
Verb 8 -7.34 4.15 15.26 0.61 7 8,757,420 6.21
8. see see
sees
Verb 7 -6.24 3.87 11.78 0.58 6 10,513,141 5.17
9. come came
come
comes
Verb 5 -5.99 2.76 9.87 0.56 5 28,387,131 1.91
10. use used
using
Verb 8 -2.61 5.06 3.58 0.23 3 30,202,367 1.8
11. include include
included
including
Verb 5 0.24 4.81 0.07 0.4 3 19,504,338 2.79
12. win win
winning
won
Verb 8 1.78 7.43 8.55 0.51 5 15,137,108 3.59
13. call called
calls
Verb 13 1.78 8.39 6.32 0.64 9 13,812,424 3.94
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