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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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AWT
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. be 're
's
are
be
been
being
is
was
were
Verb 385 -67.2 15.03 1,529.2 0.91 91 460,656 118
2. do did
do
Verb 11 -63.4 2.59 208.92 0.71 11 9,690,508 5.61
3. have 'd
've
had
has
have
having
Verb 102 -42.16 10.97 383.1 0.88 60 1,155,556 47.04
4. would 'd
would
Verb 10 -35.17 3.04 104.56 0.66 9 7,769,618 7
5. know know
known
Verb 5 -30.82 0.76 65.21 0.56 5 19,042,468 2.85
6. can ca
can
Verb 14 -25.3 4.66 84.28 0.73 13 7,241,350 7.51
7. say said
say
saying
says
Verb 21 -24.08 6.14 95.2 0.77 18 4,214,057 12.9
8. see saw
See
seeing
sees
Verb 10 -21.1 3.7 58.94 0.66 9 14,334,205 3.79
9. will will
wo
Verb 20 -19.59 6.22 72.9 0.74 15 7,248,175 7.5
10. make made
make
making
Verb 15 -18.57 5.28 60.56 0.61 11 8,512,133 6.39
11. could could Verb 10 -17.84 3.91 48.56 0.7 10 8,575,870 6.34
12. may may Verb 6 -16.64 2.21 35.87 0.6 6 13,604,011 4
13. get get
gets
getting
got
Verb 19 -15.91 6.28 55.4 0.72 14 8,062,313 6.74
14. give gave
give
given
giving
Verb 10 -13.25 4.27 34.18 0.7 10 9,628,183 5.65
15. come came
come
coming
Verb 13 -13.03 5.19 37.26 0.68 10 9,319,729 5.83
16. go go
goes
going
gone
went
Verb 28 -12.43 7.87 47.03 0.8 23 3,903,078 13.93
17. should should Verb 10 -11.15 4.47 27.72 0.61 7 18,557,890 2.93
18. must must Verb 5 -10.73 2.11 19.98 0.48 4 16,795,615 3.24
19. need need
needed
needs
Verb 5 -9.69 2.23 17.71 0.56 5 34,249,576 1.59
20. use Use
used
using
Verb 14 -9.67 5.77 26.37 0.68 11 7,192,439 7.56
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