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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
does
Verb 5 -54.24 -0.01 121.77 0.56 5 33,387,376 1.63
2. be are
be
been
being
is
was
were
Verb 250 -45.68 13.97 803.82 0.86 74 830,549 65.45
3. would would Verb 7 -23.5 2.31 57.26 0.63 7 17,370,475 3.13
4. have had
has
have
Having
Verb 104 -19.34 11.87 143.99 0.82 43 1,850,110 29.38
5. can can Verb 16 -11.5 6.05 34.89 0.74 14 5,761,294 9.44
6. will will
wo
Verb 17 -10.77 6.32 32.83 0.63 11 12,317,608 4.41
7. come came
come
comes
Verb 9 -8.41 4.41 18.83 0.2 3 23,556,296 2.31
8. see saw
see
seen
sees
Verb 14 -7.96 5.97 20.58 0.53 9 9,321,751 5.83
9. should should Verb 8 -6.3 4.31 12.42 0.54 6 10,751,604 5.06
10. may may Verb 13 -3.8 6.36 7.08 0.68 11 10,180,595 5.34
11. mean mean
means
meant
Verb 7 -3.14 4.49 4.54 0.41 3 18,199,525 2.99
12. show show
showed
showing
shown
Verb 9 -1.62 5.72 1.72 0.55 6 12,866,131 4.22
13. expect expect
expected
expects
Verb 5 -0.73 4.23 0.41 0.48 4 15,346,235 3.54
14. achieve achieve
achieved
Verb 5 0.47 4.98 0.28 0.56 5 14,448,639 3.76
15. report report
reported
reporting
Verb 7 1 6.3 1.63 0.58 6 12,400,844 4.38
16. represent represent
represented
represents
Verb 8 1.54 7.13 5.22 0.51 5 12,864,552 4.23
17. generate generate
generated
generating
Verb 6 1.93 7.41 17.61 0.53 5 24,914,129 2.18
18. double double
doubled
Verb 5 1.99 7.8 35.17 0.48 4 22,345,220 2.43
19. grow grew
grow
grows
Verb 12 2.22 8.65 13.76 0.58 8 12,104,661 4.49
20. reduce reduce
reduced
reducing
Verb 12 2.26 8.7 14.83 0.7 11 9,465,694 5.74
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