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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
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AWT
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. be 'm
're
's
are
be
been
being
is
was
were
Verb 423 -52.51 15.62 1,162.92 0.86 75 789,243 68.88
2. do did
do
does
Verb 29 -30.87 6.96 147.98 0.71 20 4,162,990 13.06
3. go go
goes
going
went
Verb 9 -24.59 3.14 66.99 0.64 8 11,874,359 4.58
4. get get
got
Verb 9 -22.98 3.23 62.08 0.68 9 11,199,831 4.85
5. know knew
know
knows
Verb 7 -22 2.4 52.74 0.58 6 12,828,041 4.24
6. say said
say
saying
says
Verb 20 -21.45 6.11 81.47 0.71 15 5,509,446 9.87
7. take take
taken
Taking
Verb 7 -21.36 2.43 51.02 0.58 6 17,688,262 3.07
8. have had
has
have
having
Verb 200 -18.79 14.07 169.05 0.78 54 1,589,099 34.21
9. can can Verb 18 -18.35 5.93 64.64 0.66 11 8,664,877 6.27
10. make made
make
making
Verb 13 -17.66 4.84 53.83 0.72 12 8,259,803 6.58
11. see saw
see
seen
sees
Verb 12 -16.08 4.67 46.54 0.66 9 13,640,935 3.99
12. think think
thought
Verb 8 -15.76 3.28 38.24 0.61 7 14,513,910 3.75
13. would 'd
would
Verb 33 -12.87 8.39 52.4 0.58 16 5,595,048 9.72
14. want want
wanted
wants
Verb 5 -12.09 1.96 22.97 0.48 4 18,108,673 3
15. could could Verb 14 -11.92 5.55 34.39 0.69 11 7,387,654 7.36
16. may may Verb 8 -11.76 3.63 27.06 0.61 7 12,692,143 4.28
17. come came
come
comes
coming
Verb 13 -11.08 5.38 30.49 0.66 10 9,844,554 5.52
18. use use
used
uses
using
Verb 10 -10.84 4.5 26.82 0.64 8 11,507,232 4.72
19. give gave
give
given
Verb 11 -10.49 4.86 26.71 0.66 9 10,660,562 5.1
20. will will Verb 36 -9.83 8.94 37.41 0.72 16 5,348,172 10.16
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