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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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TTEST
MI3
CHISQ
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R
AWT
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. be 's
are
be
been
being
is
was
were
Verb 143 -31.24 12.47 404.65 0.61 42 2,426,302 22.4
2. do did
do
Verb 8 -20.89 2.93 54.4 0.66 8 11,033,060 4.93
3. have had
has
have
Verb 48 -16.17 9.43 87.45 0.62 21 4,341,333 12.52
4. say said
say
Verb 6 -13.81 2.44 29.49 0.6 6 13,573,923 4
5. would would Verb 7 -11.25 3.22 24.68 0.45 4 21,030,652 2.58
6. go go
going
gone
went
Verb 6 -9.16 2.93 18.04 0.6 6 14,573,208 3.73
7. can can Verb 9 -7.98 4.47 17.78 0.55 6 11,858,124 4.58
8. will will Verb 9 -7.88 4.48 17.49 0.61 7 12,653,216 4.3
9. make made
make
makes
Verb 9 -5.78 4.79 11.63 0.55 6 15,341,034 3.54
10. could could Verb 7 -4.96 4.09 8.68 0.58 6 14,822,963 3.67
11. may may Verb 5 -4.1 3.14 6 0.17 2 47,733,984 1.14
12. should should Verb 5 -3.9 3.19 5.59 0.56 5 19,252,157 2.82
13. come came
come
coming
Verb 8 -3.6 4.81 5.78 0.66 8 10,896,904 4.99
14. want want
wanted
wants
Verb 5 -2.69 3.51 3.3 0.56 5 21,372,241 2.54
15. use use
used
using
Verb 9 -2.07 5.58 2.57 0.64 8 12,399,981 4.38
16. must must Verb 5 -1.7 3.83 1.64 0.17 2 27,374,737 1.99
17. get get
getting
got
Verb 20 -1.52 8.22 1.75 0.74 16 5,599,702 9.71
18. leave leaving
left
Verb 5 -1.16 4.04 0.9 0.48 4 26,157,316 2.08
19. become became
become
Verb 6 -0.94 4.7 0.65 0.43 4 34,907,631 1.56
20. tell tell
told
Verb 7 -0.84 5.22 0.54 0.58 6 11,657,661 4.66
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