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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
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. pay paid
pay
paying
pays
Verb 24 3.1 10.61 26.12 0.51 10 14,501,590 3.75
2. own own
owned
owning
Verb 7 2.08 7.85 20.48 0.53 5 16,390,286 3.32
3. survive survive Verb 6 1.77 7.01 11.2 -0.01 1 54,358,855 1
4. represent represent
representing
represents
Verb 7 1.27 6.56 3.12 0.58 6 21,988,599 2.47
5. lose lose
losing
lost
Verb 5 -0.59 4.31 0.27 0.56 5 24,356,985 2.23
6. get get
getting
got
Verb 31 -3.47 9.21 7.56 0.7 13 10,521,385 5.17
7. give give
given
gives
giving
Verb 9 -6.86 4.62 14.46 0.61 7 15,159,008 3.59
8. use use
used
using
Verb 8 -7.28 4.16 14.99 0.57 6 12,451,867 4.37
9. think think
thought
Verb 7 -10.18 3.34 21.64 0.53 5 14,987,083 3.63
10. see saw
see
seeing
seen
Verb 9 -11.57 4.06 27.99 0.61 7 11,918,992 4.56
11. will will Verb 15 -11.96 5.78 35.75 0.48 7 33,016,664 1.65
12. go go
goes
going
went
Verb 11 -12.8 4.64 34.34 0.48 6 14,182,259 3.83
13. take take
taken
taking
Verb 7 -12.85 3.06 28.61 0.58 6 22,433,371 2.42
14. come come
comes
coming
Verb 5 -13.05 1.87 25.21 0.48 4 24,477,226 2.22
15. say said
say
saying
Verb 15 -15.45 5.49 49.12 0.71 12 8,593,779 6.33
16. would would Verb 7 -23.46 2.31 57.14 0.45 4 22,835,858 2.38
17. do did
do
does
Verb 15 -28.68 4.74 102.29 0.63 9 15,276,391 3.56
18. be 'm
're
's
are
be
been
being
is
was
were
Verb 246 -46.2 13.9 810.42 0.76 46 1,756,361 30.95
19. have had
has
have
Verb 26 -53.88 5.87 279.84 0.78 21 3,799,081 14.31
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