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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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AWT
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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 609 -50.88 16.89 1,267.15 0.79 84 516,815 105.18
2. say said
say
Verb 10 -42.31 2.8 127.82 0.61 7 10,288,159 5.28
3. can ca
can
Verb 8 -39.22 2.11 105.76 0.66 8 10,880,717 5
4. will will Verb 9 -36.27 2.63 102.7 0.68 9 18,276,473 2.97
5. go go
going
Verb 7 -36.16 1.74 90.85 0.63 7 21,382,442 2.54
6. would would Verb 17 -28.06 5.21 103.36 0.73 14 8,898,504 6.11
7. do did
do
does
doing
done
Verb 48 -28.03 8.83 162.82 0.77 27 3,284,010 16.55
8. come came
comes
Verb 5 -27.13 0.93 56.74 0.48 4 25,363,344 2.14
9. know know
knowing
Verb 9 -23.97 3.17 64.87 0.61 7 15,477,928 3.51
10. make made
make
makes
making
Verb 13 -22.78 4.53 72.17 0.72 12 7,202,517 7.55
11. see saw
see
Verb 12 -20.78 4.36 62.67 0.73 12 7,648,084 7.11
12. give gave
give
given
giving
Verb 6 -20.74 1.93 45.93 0.53 5 18,745,153 2.9
13. think think
thought
Verb 8 -20.23 2.97 50.81 0.44 5 19,216,612 2.83
14. take take
taken
takes
taking
took
Verb 15 -16.47 5.42 52.4 0.66 12 6,587,422 8.25
15. should should Verb 7 -16.08 2.79 36.87 0.63 7 11,865,536 4.58
16. have 'd
've
had
has
have
having
Verb 362 -11.34 16.33 89.85 0.67 67 954,896 56.93
17. use use
used
uses
using
Verb 15 -10.31 5.94 29.34 0.74 14 6,683,401 8.13
18. become became
become
becoming
Verb 6 -9.8 2.85 19.31 0.53 5 15,453,193 3.52
19. ask asked
asking
Verb 5 -9.49 2.25 17.26 0.48 4 23,693,887 2.29
20. find find
finding
found
Verb 13 -8.45 5.66 21.54 0.72 12 8,974,183 6.06
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