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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 's
are
be
been
being
is
was
were
Verb 269 -32.4 14.57 528.54 0.84 70 925,306 58.75
2. do did
do
does
done
Verb 21 -18.1 6.48 69.21 0.61 11 7,154,580 7.6
3. go go
going
went
Verb 6 -15.54 2.29 33.51 0.6 6 15,872,305 3.42
4. have had
has
have
having
Verb 124 -11.13 12.91 69.12 0.84 49 1,497,010 36.31
5. use used
uses
using
Verb 5 -8.31 2.41 14.79 0.56 5 19,644,427 2.77
6. can can Verb 20 -6.94 7.29 19.3 0.64 13 7,263,757 7.48
7. take take
taken
taking
took
Verb 11 -6.88 5.3 15.62 0.71 11 8,190,111 6.64
8. give gave
give
given
gives
Verb 7 -6.57 3.81 12.52 0.49 5 15,455,355 3.52
9. would would Verb 29 -5.19 8.74 14.06 0.74 18 5,325,282 10.21
10. make made
make
makes
making
Verb 19 -5.01 7.39 11.88 0.73 15 6,678,902 8.14
11. become became
become
becomes
becoming
Verb 5 -3.52 3.28 4.85 0.56 5 20,102,353 2.7
12. will will Verb 34 -2.84 9.6 5.55 0.71 20 4,515,874 12.04
13. tell told Verb 7 -2.75 4.59 3.73 0.49 5 23,481,834 2.31
14. may may Verb 15 -1.8 7.26 2.23 0.65 9 8,627,324 6.3
15. could could Verb 23 -1.71 8.61 2.18 0.78 19 4,916,920 11.06
16. need need
needed
needs
Verb 8 -1.6 5.35 1.65 0.61 7 12,601,678 4.31
17. show show
showed
Verb 8 -1.21 5.49 1.03 0.51 5 19,015,658 2.86
18. call call
called
calling
Verb 7 -1.16 5.09 0.94 0.53 5 16,053,074 3.39
19. pay pay Verb 5 -1.02 4.1 0.72 0.48 4 18,884,162 2.88
20. might might Verb 10 -0.48 6.44 0.2 0.66 9 11,273,394 4.82
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