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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
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R
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. be 're
's
am
are
be
been
being
is
was
were
Verb 816 -72.15 17.53 2,213.26 0.91 93 338,328 160.67
2. do did
do
does
doing
done
Verb 27 -66.73 5.72 336.42 0.8 23 5,753,685 9.45
3. go go
goes
going
went
Verb 8 -53.18 1.69 145.58 0.61 7 12,305,913 4.42
4. can ca
can
Verb 12 -49.51 3.24 163.89 0.7 11 8,552,939 6.36
5. get get
getting
got
Verb 9 -46.73 2.29 134.15 0.5 6 20,278,585 2.68
6. have 've
had
has
have
having
Verb 222 -44.93 13.58 560.82 0.88 71 929,248 58.5
7. say said
say
saying
says
Verb 21 -43.83 5.38 186.77 0.77 18 4,898,714 11.1
8. come came
come
comes
Verb 6 -38.92 1.09 90.8 0.6 6 12,804,570 4.25
9. would would Verb 36 -28.12 7.83 142.54 0.8 26 3,023,000 17.98
10. take take
taken
takes
taking
took
Verb 17 -25.36 5.34 91.29 0.72 14 6,551,658 8.3
11. will will
wo
Verb 35 -24.81 7.88 121.14 0.83 28 3,292,793 16.51
12. look look
looked
looking
looks
Verb 9 -22.44 3.26 59.94 0.64 8 13,827,962 3.93
13. could could Verb 20 -20.61 6.16 76.77 0.75 17 4,635,685 11.73
14. may may Verb 13 -18.3 4.8 55.65 0.57 9 8,536,201 6.37
15. use use
used
using
Verb 15 -18.02 5.32 58.04 0.71 12 8,066,100 6.74
16. make made
make
makes
making
Verb 38 -17.65 8.55 82.08 0.82 28 3,142,253 17.3
17. know knew
know
knowing
known
knows
Verb 30 -17.31 7.76 73.14 0.8 23 5,125,708 10.61
18. might might Verb 5 -16.28 1.59 32.18 0.56 5 17,736,183 3.06
19. mean mean
means
Verb 6 -16.05 2.25 34.32 0.6 6 13,064,007 4.16
20. give gave
give
given
gives
giving
Verb 19 -15.75 6.29 54.36 0.75 16 8,055,414 6.75
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