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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
're
are
be
been
being
is
was
were
Verb 101 -24.12 11.55 256.26 0.77 40 2,630,578 20.66
2. do did
do
does
Verb 9 -11.87 4.03 29.7 0.43 4 28,000,203 1.94
3. have 'd
had
has
have
Verb 54 -7.13 10.53 28.76 0.74 31 3,166,300 17.17
4. will will
wo
Verb 8 -4.84 4.56 8.83 0.57 6 14,152,739 3.84
5. make made Verb 6 -4.7 3.62 7.71 0.53 5 14,346,420 3.79
6. know know
known
knows
Verb 7 -2.98 4.53 4.25 0.38 4 18,861,668 2.88
7. become became Verb 5 -0.23 4.5 0.05 0.48 4 25,215,482 2.16
8. tell telling
told
Verb 6 -0.05 5.14 0 0.6 6 20,860,980 2.61
9. call called
calling
Verb 5 0.3 4.85 0.11 0.56 5 13,384,720 4.06
10. play play
played
plays
Verb 5 0.9 5.38 1.35 0.56 5 15,380,681 3.53
11. kill kill
killed
killing
Verb 7 2.18 8.13 27.2 -0.01 1 54,325,909 1
12. say said
say
says
Verb 49 3.22 12.12 19.66 0.71 22 4,807,724 11.31
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