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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
being
is
was
were
Verb 62 -12.01 10.57 85.54 0.77 30 3,149,778 17.26
2. have had
has
have
having
Verb 17 -7.64 6.66 22.81 0.75 15 6,500,175 8.36
3. will will Verb 5 -2.19 3.66 2.47 0.56 5 17,326,872 3.14
4. can ca
can
Verb 8 -0.7 5.68 0.4 0.54 5 14,067,247 3.86
5. contain contain
containing
contains
Verb 5 1.93 7.52 27.49 0.48 4 27,078,848 2.01
6. release release
released
Verb 5 2.1 8.73 75.32 0.4 3 23,019,758 2.36
7. meet meet
meeting
Meets
Verb 8 2.41 8.77 39.92 0.36 3 37,136,514 1.46
8. fertilize fertilize
fertilized
fertilizes
fertilizing
Verb 6 2.45 16.04 11,236.17 0.53 5 17,571,615 3.09
9. count count
counts
Verb 9 2.94 11.98 432.17 0.61 7 15,452,025 3.52
10. store store
stored
Verb 9 2.96 12.52 636.81 0.4 5 17,292,278 3.14
11. produce produce
produced
produces
producing
Verb 13 3.29 10.91 123.71 0.72 12 8,736,742 6.22
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