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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:
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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
been
being
is
was
were
Verb 74 -18.99 10.74 168.37 0.85 48 1,704,680 31.89
2. have 've
had
has
have
having
Verb 27 -8.95 8.06 32.83 0.75 18 4,282,392 12.69
3. will will
wo
Verb 6 -3.67 3.85 5.51 0.53 5 18,956,704 2.87
4. can can Verb 7 -3.08 4.5 4.47 0.49 5 16,911,173 3.21
5. get get
gets
getting
got
Verb 6 -2.57 4.13 3.29 0.6 6 13,540,073 4.01
6. make made
make
Verb 6 -2.49 4.16 3.14 0.29 3 29,172,439 1.86
7. take take
taken
Verb 5 -2.25 3.64 2.56 0.48 4 14,670,858 3.71
8. give gave
give
given
Verb 7 -0.09 5.57 0.01 0.58 6 22,610,984 2.4
9. provide provide
provided
Verb 6 1.27 6.22 3.32 0.6 6 11,885,432 4.57
10. lead lead
leading
leads
led
Verb 6 1.68 6.84 9.01 0.6 6 14,505,520 3.75
11. run ran
run
running
runs
Verb 7 1.79 7.25 10.03 0.26 3 22,694,278 2.4
12. dig dug Verb 5 2.18 10.05 202.74 0.56 5 17,135,580 3.17
13. win win
winning
won
Verb 9 2.55 9.08 43.5 0.61 7 11,496,618 4.73
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