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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. cause cause
caused
causes
causing
Verb 26 4.69 13.02 270.96 0.78 20 4,773,547 11.39
2. suffer suffered
suffering
suffers
Verb 9 2.59 9.23 49.92 0.64 8 12,969,433 4.19
3. bring bring
bringing
brings
brought
Verb 13 2.38 8.96 16.75 0.68 11 17,741,111 3.06
4. compound compounded Verb 5 2.2 10.5 279.78 0.48 4 19,140,037 2.84
5. ease ease Verb 5 2.13 9 92.93 0.56 5 16,605,147 3.27
6. lose losing
lost
Verb 5 0.99 5.49 1.77 0.56 5 16,383,425 3.32
7. make made
make
making
Verb 19 -0.65 8.3 0.37 0.73 14 5,320,017 10.22
8. find find
found
Verb 5 -2.22 3.65 2.5 0.48 4 24,715,663 2.2
9. come come
comes
coming
Verb 6 -3.7 3.84 5.52 0.6 6 16,490,214 3.3
10. see saw
see
seen
Verb 7 -4.64 4.15 7.93 0.63 7 15,478,609 3.51
11. know know
knowing
known
Verb 6 -5.13 3.54 8.62 0.6 6 13,862,511 3.92
12. can ca
can
Verb 6 -8.69 2.98 16.97 0.6 6 17,739,873 3.06
13. will will Verb 5 -9.85 2.21 18.34 0.56 5 18,447,720 2.95
14. would would Verb 5 -11.38 2.04 21.78 0.56 5 13,318,666 4.08
15. say said
says
Verb 5 -12.52 1.92 24.37 0.56 5 17,946,543 3.03
16. do did
do
does
Verb 5 -22.61 1.17 48.1 0.56 5 17,243,030 3.15
17. have 've
had
has
have
Verb 21 -24.34 6.13 104.65 0.77 18 5,504,159 9.88
18. be 'm
're
's
are
be
been
being
is
was
were
Verb 102 -32.26 11.28 371.66 0.89 60 1,285,085 42.3
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