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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
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. be 'm
's
are
be
been
is
was
were
Verb 213 -49.31 13.34 831.99 0.79 57 1,111,041 48.93
2. say say
says
Verb 5 -29.93 0.8 63.92 0.56 5 11,874,703 4.58
3. have had
has
have
having
Verb 84 -22.36 11 162.12 0.76 32 2,721,880 19.97
4. do did
do
does
doing
done
Verb 21 -21.85 6.26 86.54 0.64 12 10,465,654 5.19
5. go go
goes
going
went
Verb 5 -20.73 1.28 42.63 0.56 5 18,739,934 2.9
6. would 'd
would
Verb 9 -19.12 3.46 50.8 0.43 4 45,578,258 1.19
7. make made
make
makes
making
Verb 5 -19.05 1.39 38.78 0.56 5 18,835,146 2.89
8. can ca
can
Verb 13 -12.89 5.21 37.13 0.64 9 15,297,635 3.55
9. get get
getting
got
Verb 10 -12.13 4.37 30.98 0.64 8 20,455,727 2.66
10. could could Verb 7 -11.1 3.24 24.02 0.63 7 10,365,724 5.24
11. see saw
see
seen
Verb 9 -11 4.12 26.34 0.31 4 19,991,663 2.72
12. take take
taken
takes
taking
took
Verb 9 -10.14 4.21 23.8 0.61 7 11,114,763 4.89
13. give gave
give
given
Verb 6 -9.15 2.93 17.86 0.43 4 17,368,657 3.13
14. come came
comes
Verb 9 -7.95 4.47 17.52 0.64 8 8,204,964 6.63
15. will will Verb 22 -7.87 7.5 23.64 0.74 17 6,517,506 8.34
16. look look
looked
looks
Verb 6 -7.65 3.13 14.32 0.53 5 17,622,419 3.08
17. find find
finding
found
Verb 6 -6.43 3.31 11.5 0.53 5 17,161,254 3.17
18. use use
used
uses
Verb 9 -6.16 4.73 12.56 0.61 7 11,660,016 4.66
19. should should Verb 10 -4.67 5.33 8.89 0.66 9 9,920,684 5.48
20. leave leaves
leaving
left
Verb 5 -3.9 3.19 5.58 0.48 4 21,480,412 2.53
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