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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. award awarded
awards
Verb 7 2.56 10.59 206.48 0.58 6 14,536,014 3.74
2. help help
Helping
helps
Verb 6 1.25 6.2 3.22 0.53 5 17,254,015 3.15
3. meet meet
met
Verb 5 1.24 5.81 3.46 0.56 5 19,348,880 2.81
4. become become
becomes
becoming
Verb 5 0.09 4.71 0.01 0.48 4 25,005,103 2.17
5. should should Verb 7 -0.34 5.44 0.11 0.63 7 9,357,733 5.81
6. may may Verb 7 -0.44 5.39 0.17 0.45 4 19,234,749 2.83
7. will will Verb 13 -1.61 6.87 1.84 0.68 10 7,825,175 6.95
8. give gave
give
gives
Verb 5 -1.82 3.78 1.85 0.56 5 17,172,965 3.17
9. get get
gets
got
Verb 8 -2.63 5.05 3.65 0.61 7 14,804,171 3.67
10. can ca
can
Verb 7 -4.53 4.17 7.74 0.49 5 16,613,583 3.27
11. say said
says
Verb 5 -8.03 2.44 14.43 0.48 4 17,158,587 3.17
12. have had
has
Have
having
Verb 33 -10.32 8.61 42.45 0.78 22 5,701,079 9.53
13. be 's
am
are
be
been
being
is
was
were
Verb 88 -22.37 11.16 221.43 0.79 37 2,269,493 23.95
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