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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 're
's
are
be
been
being
is
was
were
Verb 201 -50.91 13.1 845.72 0.85 70 880,846 61.71
2. do did
do
does
doing
Verb 11 -32.82 3.47 103.35 0.71 11 6,549,537 8.3
3. have had
has
have
having
Verb 86 -21.55 11.12 155.83 0.86 51 1,911,463 28.44
4. will will Verb 6 -21.35 1.89 47.93 0.6 6 11,876,387 4.58
5. say said
say
says
Verb 10 -19.34 3.81 53.95 0.66 9 9,541,587 5.7
6. know know
known
Verb 5 -15.67 1.64 31.11 0.48 4 25,861,890 2.1
7. go goes
going
gone
went
Verb 8 -15.13 3.33 36.74 0.61 7 15,944,146 3.41
8. would would Verb 13 -14.61 5.06 43.27 0.62 10 8,081,275 6.73
9. see saw
see
seen
Verb 7 -13.06 3.04 29.18 0.63 7 12,801,837 4.25
10. make made
make
makes
making
Verb 10 -11.73 4.41 29.71 0.66 9 10,926,717 4.97
11. give gave
give
given
Verb 5 -10.33 2.15 19.2 0.56 5 28,333,520 1.92
12. take take
taken
takes
taking
Verb 11 -8.44 5.09 20.38 0.68 10 7,449,491 7.3
13. think think
thought
Verb 9 -7.76 4.5 16.98 0.5 6 12,968,852 4.19
14. come came
come
Verb 10 -7.11 4.94 15.76 0.66 9 7,886,138 6.89
15. use use
used
Verb 10 -5.44 5.2 10.98 0.66 9 9,932,930 5.47
16. could could Verb 15 -5.41 6.55 12.39 0.69 12 8,377,109 6.49
17. find find
found
Verb 10 -3.64 5.54 6.21 0.7 10 7,978,570 6.81
18. need need
needed
needs
Verb 8 -2.28 5.15 2.89 0.54 6 25,448,057 2.14
19. ask ask
asked
asking
asks
Verb 7 -2.26 4.72 2.76 0.58 6 14,451,505 3.76
20. provide provide
provided
provides
providing
Verb 6 -2.15 4.26 2.48 0.6 6 13,058,822 4.16
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