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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 are
be
been
is
was
were
Verb 72 -24.3 10.39 228.95 0.77 32 4,610,419 11.79
2. have had
has
have
Verb 33 -9.26 8.7 36.6 0.66 13 6,051,899 8.98
3. would would Verb 6 -5.63 3.45 9.85 0.6 6 13,648,364 3.98
4. go go
going
went
Verb 6 -3.8 3.82 5.77 0.43 4 20,507,494 2.65
5. make made Verb 6 -3.35 3.93 4.81 0.48 4 14,804,993 3.67
6. say said
say
Verb 11 -3.15 5.96 5.23 0.34 5 13,524,526 4.02
7. take take
taken
taking
took
Verb 6 -2.35 4.2 2.86 0.53 5 19,800,268 2.75
8. give gave Verb 5 -1.55 3.88 1.44 0.34 3 22,141,282 2.46
9. suggest suggest
suggests
Verb 6 1.67 6.83 8.83 0.29 2 28,840,713 1.88
10. lead lead
leads
led
Verb 8 2.05 7.86 15.22 0.54 5 19,168,672 2.84
11. convert converted Verb 5 2.12 8.94 88.46 0.4 3 20,589,404 2.64
12. land landed Verb 5 2.14 9.17 105.59 0.48 4 16,416,573 3.31
13. discover DISCOVER
discovered
discovering
Verb 6 2.17 8.28 40.48 0.29 3 19,276,769 2.82
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