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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. cause cause
caused
causes
Verb 21 4.06 11.91 143.52 0.14 4 22,033,321 2.47
2. overcome overcame
overcome
overcoming
Verb 12 3.35 12.12 347.14 0.62 8 9,208,762 5.9
3. win win
winning
wins
won
Verb 8 1.85 7.53 9.83 0.54 6 19,293,914 2.82
4. prove prove
proved
Verb 5 1.47 6.2 6.38 0.48 4 19,986,464 2.72
5. face face
faced
facing
Verb 5 1.39 6.05 5.11 0.48 4 17,422,366 3.12
6. lead lead
leading
leads
led
Verb 5 0.5 5.01 0.32 0.56 5 13,858,318 3.92
7. may may Verb 12 -0.41 7.01 0.15 0.45 6 16,941,350 3.21
8. become became
become
becoming
Verb 6 -0.76 4.78 0.45 0.6 6 16,926,895 3.21
9. should should Verb 9 -1.33 5.81 1.24 0.55 6 15,110,355 3.6
10. can can Verb 22 -1.96 8.42 2.77 0.35 9 14,039,955 3.87
11. could could Verb 10 -2.86 5.71 4.36 0.7 10 10,133,296 5.36
12. give gave
given
giving
Verb 5 -4.43 3.07 6.64 0.56 5 12,879,610 4.22
13. will will Verb 13 -4.96 6.15 10.59 0.58 8 11,111,434 4.89
14. get get
got
Verb 8 -6.14 4.34 12.09 0.51 5 16,045,279 3.39
15. know knew
knowing
known
Verb 5 -7.25 2.56 12.57 0.34 3 38,245,833 1.42
16. make made
make
makes
Verb 6 -7.74 3.11 14.64 0.6 6 21,107,910 2.58
17. would would Verb 10 -7.84 4.85 18.1 0.7 10 8,183,368 6.64
18. go go
went
Verb 5 -9.8 2.22 18.18 0.48 4 27,201,962 2
19. have had
has
have
having
Verb 50 -14.35 9.69 75.81 0.81 33 2,737,617 19.86
20. be 're
are
be
been
being
is
was
were
Verb 201 -20.31 14.02 254.02 0.66 62 1,267,101 42.9
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