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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
's
are
be
been
being
is
was
were
Verb 328 -45.15 14.91 874.46 0.9 81 655,061 82.98
2. do did
do
doing
Verb 21 -27.89 5.96 114.77 0.76 18 5,216,046 10.42
3. have 've
had
has
have
having
Verb 109 -23.56 11.83 190.08 0.88 55 1,505,439 36.11
4. say said
say
Verb 17 -17.31 5.8 59.16 0.68 12 7,751,896 7.01
5. would would Verb 16 -16.38 5.65 53.96 0.74 14 7,230,777 7.52
6. know know
known
knows
Verb 7 -16.14 2.79 37.24 0.63 7 20,682,612 2.63
7. make made
make
making
Verb 11 -14.31 4.51 39.2 0.68 10 7,631,841 7.12
8. think think
thought
Verb 6 -13.91 2.43 29.32 0.6 6 10,683,388 5.09
9. get get
gets
getting
got
Verb 15 -11.47 5.83 33.79 0.72 13 6,342,694 8.57
10. could could Verb 10 -10.96 4.48 27.26 0.66 9 11,674,318 4.66
11. can ca
can
Verb 23 -10.44 7.38 35.07 0.79 20 4,070,704 13.35
12. should should Verb 8 -7.93 4.07 16.69 0.66 8 10,715,966 5.07
13. look look
looked
Looking
Verb 8 -7.91 4.07 16.64 0.51 5 16,530,018 3.29
14. will will
wo
Verb 30 -7.74 8.54 25.36 0.75 21 4,556,762 11.93
15. use use
used
using
Verb 10 -7.51 4.89 16.89 0.7 10 8,295,081 6.55
16. go go
going
gone
went
Verb 26 -7.27 8.12 22.21 0.77 19 4,888,705 11.12
17. take take
taken
takes
taking
took
Verb 19 -6.75 7.15 18.13 0.75 16 5,432,729 10.01
18. give gave
give
gives
giving
Verb 12 -6.61 5.63 15.19 0.73 12 7,577,887 7.17
19. must must Verb 5 -6.49 2.68 10.85 0.56 5 18,568,584 2.93
20. may may Verb 11 -6.16 5.4 13.42 0.55 7 8,843,794 6.15
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