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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 's
are
be
been
being
is
was
were
Verb 351 -266.39 12.98 6,993.45 0.71 59 1,361,542 39.92
2. do did
do
does
doing
done
Verb 19 -154.82 3.31 686.88 0.66 13 8,720,079 6.23
3. can can Verb 6 -136.65 -0.66 336.39 0.6 6 40,537,113 1.34
4. will will Verb 6 -135.33 -0.64 333.01 0.6 6 12,531,987 4.34
5. have 've
had
has
have
having
Verb 160 -118.19 11.27 1,507.53 0.68 42 2,029,199 26.79
6. go goes
going
gone
went
Verb 6 -117.62 -0.45 287.88 0.6 6 11,269,405 4.82
7. could could Verb 6 -82.56 0.05 199.24 0.6 6 14,405,148 3.77
8. say said
say
saying
says
Verb 30 -69.73 6.03 363.9 0.72 16 6,745,464 8.06
9. use use
used
using
Verb 5 -68.15 -0.33 149.21 0.48 4 16,332,290 3.33
10. would would Verb 27 -67.96 5.69 336.43 0.5 7 13,813,914 3.94
11. come came
come
comes
Verb 8 -63.68 1.44 174.73 0.44 5 17,362,912 3.13
12. make made
make
makes
Verb 21 -54.89 5.09 236.48 0.66 12 9,676,093 5.62
13. take take
taken
takes
taking
took
Verb 15 -54.4 3.9 199.77 0.65 11 13,260,036 4.1
14. should should Verb 10 -41.72 2.82 123.87 0.64 8 12,057,890 4.51
15. may May Verb 14 -35.44 4.23 121.21 0.57 8 11,394,312 4.77
16. leave leave
leaving
left
Verb 5 -32.93 0.67 69.38 0.48 4 22,321,212 2.44
17. might might Verb 5 -32.14 0.7 67.61 0.56 5 31,364,278 1.73
18. find find
finds
found
Verb 13 -30.94 4.14 100.83 0.7 11 9,165,011 5.93
19. call call
called
calls
Verb 7 -22.76 2.35 54.25 0.58 6 15,899,275 3.42
20. give given
gives
Verb 34 -22.08 7.92 103.01 0.56 10 11,034,369 4.93
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