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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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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. do did
do
does
done
Verb 16 -56.47 4.08 220.54 0.71 13 6,414,825 8.47
2. be 're
's
are
be
been
being
is
was
were
Verb 600 -51.52 16.82 1,281.81 0.77 92 419,358 129.63
3. have 've
had
has
have
having
Verb 99 -48.03 10.72 441.56 0.83 46 1,873,570 29.01
4. see saw
see
seen
Verb 7 -29.05 2.03 71.56 0.63 7 14,756,549 3.68
5. make made
make
makes
making
Verb 9 -28.67 2.94 79.24 0.64 8 9,545,396 5.69
6. could could Verb 6 -27.18 1.57 61.91 0.6 6 18,603,066 2.92
7. come came
come
coming
Verb 6 -24.32 1.72 54.79 0.53 5 22,719,751 2.39
8. go go
Goes
going
gone
went
Verb 16 -21.63 5.32 74.42 0.77 16 6,461,998 8.41
9. take take
taken
takes
taking
Verb 13 -18.22 4.8 55.63 0.68 11 8,890,009 6.11
10. would would Verb 37 -15.7 8.58 70.54 0.69 22 5,780,243 9.4
11. need need
Needs
Verb 5 -10.8 2.1 20.13 0.56 5 14,357,919 3.79
12. give gave
give
given
gives
giving
Verb 15 -10.77 5.89 31.02 0.61 11 7,838,239 6.94
13. can can Verb 46 -10.73 9.68 45.57 0.63 24 3,731,683 14.57
14. should should Verb 17 -7.87 6.63 21.51 0.71 13 8,483,303 6.41
15. will will Verb 59 -7.63 10.77 29.87 0.82 31 2,939,988 18.49
16. provide provide
provided
provides
Verb 6 -6.84 3.25 12.4 0.6 6 14,626,902 3.72
17. become became
become
becomes
becoming
Verb 10 -6.31 5.06 13.37 0.7 10 8,554,735 6.35
18. use use
used
using
Verb 26 -5.66 8.32 15.34 0.68 15 6,449,890 8.43
19. show showed
showing
shown
shows
Verb 10 -5.24 5.23 10.39 0.64 8 11,970,180 4.54
20. call call
called
Verb 9 -4.81 4.96 8.93 0.64 8 11,772,977 4.62
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