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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 'm
's
am
are
be
been
being
is
was
were
Verb 104 -43.74 11 541.95 0.87 55 1,313,797 41.38
2. have had
has
have
Verb 55 -15.57 9.93 87.17 0.81 30 2,992,472 18.17
3. say said
say
Verb 7 -13.39 3.02 30.36 0.58 6 14,918,340 3.64
4. make made
make
makes
making
Verb 5 -10.32 2.15 19.29 0.56 5 16,569,165 3.28
5. see saw
see
seen
sees
Verb 5 -8.84 2.33 16.03 0.56 5 15,686,478 3.47
6. will will Verb 12 -6.57 5.64 15.22 0.73 12 6,662,276 8.16
7. use used
using
Verb 5 -5.01 2.95 7.83 0.56 5 15,191,333 3.58
8. show showed
showing
shown
shows
Verb 6 -0.75 4.78 0.44 0.53 5 12,748,316 4.26
9. win winning
won
Verb 5 0.84 5.32 1.13 0.4 3 36,643,769 1.48
10. map MAP Verb 6 2.41 11.27 399.3 -0.01 1 54,345,465 1
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