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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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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 're
are
be
been
being
is
was
were
Verb 85 -19.48 11.18 182.58 0.37 7 18,823,861 2.89
2. have had
has
have
having
Verb 52 -4.16 10.74 12.22 0.32 5 21,960,943 2.48
3. make made
make
makes
Verb 5 -3.8 3.21 5.44 0.34 3 29,818,658 1.82
4. see see
seen
sees
Verb 5 -3.09 3.39 4.08 0.34 3 31,558,075 1.72
5. go go
going
went
Verb 7 -2.86 4.56 4 0.13 2 53,964,760 1.01
6. could could Verb 6 -1.76 4.39 1.83 0.15 2 30,474,249 1.78
7. take take
takes
Verb 7 -1.58 4.94 1.58 0.26 3 51,880,516 1.05
8. use use
uses
using
Verb 5 -1.25 4 1.01 0.34 3 51,736,621 1.05
9. work work
worked
working
Verb 5 0.46 4.97 0.26 0.17 2 52,005,899 1.05
10. include include
includes
Verb 6 1.53 6.58 6.23 0.25 2 51,487,432 1.06
11. integrate integrate
integrated
integrating
Verb 5 2.17 9.81 169.5 0.34 3 51,755,802 1.05
12. expect expect
expects
Verb 8 2.19 8.15 21.28 0.11 2 52,088,158 1.04
13. say said
say
says
Verb 33 2.19 10.78 7.98 0.29 2 51,971,133 1.05
14. will will Verb 33 2.83 11.07 16.2 0.19 3 51,358,287 1.06
15. support support
supports
Verb 12 3.12 10.5 97.9 0.36 4 38,589,333 1.41
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