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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's part of speech:
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MI3
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. have had
has
have
Verb 17 -28.35 5.2 113.76 0.66 12 6,799,799 7.99
2. be are
be
been
being
is
was
were
Verb 132 -26.12 12.38 312.23 0.78 48 2,010,648 27.04
3. do did
do
does
doing
done
Verb 6 -20.46 1.94 46.79 0.6 6 27,764,056 1.96
4. say said
says
Verb 5 -12.67 1.91 24.71 0.48 4 16,129,426 3.37
5. can can Verb 9 -6.19 4.73 12.77 0.64 8 9,219,003 5.9
6. would would Verb 11 -5.95 5.44 12.99 0.68 10 9,587,542 5.67
7. could could Verb 5 -5.3 2.89 8.44 0.56 5 18,865,558 2.88
8. make made
make
making
Verb 9 -4.35 5.05 7.85 0.4 5 14,869,101 3.66
9. will will Verb 15 -3.18 6.95 5.66 0.71 13 5,183,244 10.49
10. take taken
taking
Verb 9 -3.09 5.32 4.76 0.4 5 29,482,746 1.84
11. may may Verb 10 -0.59 6.4 0.29 0.66 9 11,424,286 4.76
12. call call
called
calling
Verb 5 -0.2 4.52 0.04 0.34 3 26,353,425 2.06
13. provide provide
provided
provides
providing
Verb 6 0.29 5.35 0.1 0.53 5 15,522,830 3.5
14. suggest suggested
suggesting
suggests
Verb 5 0.91 5.4 1.42 0.4 3 23,244,110 2.34
15. achieve achieve
achieved
achieving
Verb 5 1.45 6.15 6 0.56 5 14,506,752 3.75
16. obtain obtain
obtaining
Verb 5 1.64 6.55 10.09 0.4 3 22,032,418 2.47
17. complete completed
completing
Verb 5 1.77 6.91 15.04 0.48 4 20,496,594 2.65
18. expect expect
expected
Verb 8 1.79 7.44 8.66 0.54 6 13,648,694 3.98
19. gain gain
gained
Verb 5 1.83 7.1 18.27 0.48 4 25,891,219 2.1
20. assess assess
assessing
Verb 5 1.94 7.55 28.23 0.56 5 22,550,658 2.41
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