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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
CHISQ
JD
R
AWT
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. be 's
am
are
be
been
being
is
was
were
Verb 232 -61.95 13.37 1,134.86 0.88 74 772,466 70.37
2. do do
does
doing
Verb 8 -51.16 1.75 143.35 0.66 8 10,568,968 5.14
3. have had
has
have
having
Verb 73 -34.09 10.06 259.69 0.87 48 1,569,289 34.64
4. go go
goes
going
Verb 5 -26.71 0.95 56.16 0.56 5 28,675,847 1.9
5. make made
make
makes
making
Verb 7 -20.03 2.52 47.62 0.63 7 12,094,468 4.49
6. would 'd
would
Verb 15 -17.73 5.33 57.73 0.61 11 7,513,597 7.23
7. can can Verb 16 -14.75 5.77 47.42 0.72 13 6,844,273 7.94
8. use use
using
Verb 5 -13.26 1.85 25.62 0.48 4 19,728,623 2.76
9. will will Verb 19 -12.68 6.53 42.03 0.69 14 9,636,412 5.64
10. give give
Given
gives
giving
Verb 9 -8.94 4.35 20.29 0.68 9 7,380,175 7.37
11. come came
come
comes
Verb 13 -7.88 5.73 19.72 0.72 12 6,814,203 7.98
12. should should Verb 10 -6.71 5 14.57 0.7 10 11,495,315 4.73
13. must must Verb 5 -6.71 2.64 11.33 0.56 5 20,199,975 2.69
14. become became
becomes
Verb 6 -5.27 3.51 8.87 0.6 6 13,621,911 3.99
15. may may Verb 17 -3.7 7.25 7.29 0.73 14 15,484,381 3.51
16. include include
includes
Verb 6 -1.64 4.43 1.62 0.6 6 18,229,238 2.98
17. need need
needed
Needs
Verb 13 -1.5 6.9 1.6 0.74 13 8,200,886 6.63
18. lead lead
leading
leads
led
Verb 7 -0.88 5.2 0.59 0.58 6 21,050,926 2.58
19. require require
required
requires
Verb 6 -0.84 4.74 0.53 0.6 6 18,475,119 2.94
20. lose lose
losing
lost
Verb 7 -0.24 5.49 0.05 0.53 5 15,399,639 3.53
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