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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:
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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. have had
has
have
Verb 13 -18.3 4.8 61.46 0.66 10 9,538,980 5.7
2. be 's
are
be
been
being
is
was
were
Verb 98 -15.85 11.85 144.72 0.82 50 1,566,902 34.69
3. do Did
do
doing
Verb 5 -12.57 1.92 24.95 0.56 5 26,496,883 2.05
4. would would Verb 8 -3.59 4.82 5.81 0.61 7 11,912,056 4.56
5. can can Verb 9 -2.42 5.49 3.31 0.4 5 38,643,401 1.41
6. use use
used
uses
using
Verb 7 -0.19 5.51 0.04 0.58 6 12,752,089 4.26
7. may may Verb 7 0 5.62 0 0.49 5 15,564,554 3.49
8. make made
make
makes
Making
Verb 17 0.97 8.56 1.25 0.64 12 8,576,685 6.34
9. cause caused
causes
causing
Verb 5 1.67 6.64 11.16 0.56 5 22,777,612 2.39
10. involve involve
involves
involving
Verb 7 2.12 7.94 22.42 0.63 7 15,020,520 3.62
11. import import Verb 6 2.41 11.12 359.6 0.53 5 15,066,254 3.61
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