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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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MI3
CHISQ
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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 93 -21.58 11.38 215.5 0.61 23 3,604,362 15.08
2. will will
wo
Verb 8 -3.9 4.75 6.53 0.57 6 18,441,597 2.95
3. make made
make
Verb 6 -3.82 3.81 5.81 0.53 5 20,137,464 2.7
4. would would Verb 12 -2.72 6.33 4.25 0.52 7 12,446,511 4.37
5. have had
has
have
having
Verb 75 -2.11 12.14 4 0.65 19 5,448,717 9.98
6. call called
calling
calls
Verb 7 1.21 6.5 2.73 0.38 4 24,074,269 2.26
7. meet meet
meets
met
Verb 7 1.79 7.25 10.03 -0.01 1 53,343,609 1.02
8. remove removed
removing
Verb 5 1.87 7.24 21.02 0.48 4 29,182,132 1.86
9. visit visit
visited
Verb 5 1.87 7.25 21.24 0.56 5 20,576,917 2.64
10. announce announced
announces
Verb 6 2.07 7.88 28.17 0.38 3 27,241,472 2
11. appoint appointed Verb 6 2.22 8.61 53.68 0.25 2 53,675,622 1.01
12. order ordered
orders
Verb 6 2.23 8.66 55.85 0.53 5 25,842,097 2.1
13. support support
supported
supporting
supports
Verb 12 3.07 10.31 83.4 0.57 7 15,473,234 3.51
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