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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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R
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 940 -123.76 17.42 4,560.5 0.93 97 235,916 230.42
2. say said
say
says
Verb 15 -90.39 3.21 344.94 0.66 12 8,783,216 6.19
3. do did
do
does
doing
done
Verb 44 -86.08 7.11 554.68 0.82 31 2,920,595 18.61
4. have 've
had
has
have
having
Verb 239 -79.43 13.18 1,147.17 0.91 84 568,836 95.56
5. would would Verb 18 -75.17 4.11 309.55 0.76 16 5,237,133 10.38
6. get get
gets
getting
got
Verb 13 -64.49 3.16 224.33 0.62 8 12,267,214 4.43
7. think think
thinking
thought
Verb 7 -59.94 1.05 153.84 0.58 6 18,356,041 2.96
8. can can Verb 24 -56.74 5.52 261.74 0.74 17 5,885,729 9.24
9. could could Verb 11 -52.33 2.85 165.55 0.68 10 9,213,432 5.9
10. go go
goes
Going
went
Verb 21 -52.3 5.15 224.74 0.78 19 3,996,622 13.6
11. should should Verb 9 -38.93 2.53 109.52 0.64 8 12,719,599 4.27
12. may may Verb 10 -37.93 2.94 111.86 0.66 9 10,227,705 5.31
13. see saw
see
seen
Verb 28 -35.01 6.69 163.56 0.78 22 3,627,557 14.99
14. come came
come
comes
coming
Verb 21 -31.8 5.8 129.04 0.78 19 4,931,314 11.02
15. mean means
meant
Verb 5 -31.12 0.74 65.34 0.48 4 19,290,006 2.82
16. might might Verb 5 -28.23 0.88 58.85 0.56 5 15,727,393 3.46
17. find find
finds
found
Verb 13 -27.01 4.31 86.7 0.74 13 7,134,243 7.62
18. work work
worked
working
works
wrought
Verb 6 -26.64 1.6 60.13 0.6 6 24,325,969 2.23
19. take take
taken
takes
taking
took
Verb 39 -25.79 8.21 131.65 0.82 31 4,257,341 12.77
20. will will
wo
Verb 89 -22.27 11.2 150.94 0.85 46 2,110,018 25.76
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