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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
AWT
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. be 'M
're
's
AM
are
be
been
being
is
was
were
Verb 870 -71.26 17.76 2,228.28 0.84 92 483,406 112.45
2. can can Verb 10 -56.78 2.4 173.9 0.66 9 10,203,892 5.33
3. do did
do
does
doing
done
Verb 89 -31.48 10.83 239.03 0.77 34 2,477,886 21.94
4. would would Verb 45 -24.82 8.75 134.33 0.72 21 5,048,986 10.77
5. may may Verb 9 -24.19 3.16 65.2 0.43 4 14,313,494 3.8
6. go go
goes
going
gone
went
Verb 31 -23.82 7.51 109.59 0.75 19 5,969,051 9.11
7. get get
gets
getting
got
Verb 29 -23.23 7.31 103.43 0.72 16 5,784,975 9.4
8. use use
used
uses
Verb 11 -23.09 3.93 67.66 0.68 10 14,449,412 3.76
9. have 've
had
has
have
having
Verb 492 -19.33 16.98 222.75 0.81 74 794,141 68.45
10. will will
wo
Verb 55 -17.9 9.79 95.95 0.65 20 4,859,240 11.19
11. work work
worked
Verb 5 -17.77 1.48 35.49 0.56 5 18,832,896 2.89
12. must must Verb 7 -16.47 2.76 37.79 0.58 6 23,729,257 2.29
13. make made
make
makes
making
Verb 50 -14.37 9.69 69.34 0.76 25 3,338,267 16.28
14. should should Verb 20 -13.18 6.66 44.44 0.64 11 6,942,753 7.83
15. might might Verb 9 -11.26 4.09 26.81 0.64 8 11,907,659 4.57
16. want want
wanted
wants
Verb 17 -11.23 6.28 34.15 0.68 13 5,799,919 9.37
17. come came
come
comes
coming
Verb 39 -10.51 9.15 41.71 0.8 25 3,376,463 16.1
18. hold held
holding
Verb 7 -9.99 3.36 20.99 0.63 7 13,049,812 4.17
19. need need
needed
needs
Verb 12 -9.97 5.21 25.78 0.49 6 13,203,585 4.12
20. pay paid
pays
Verb 5 -9.86 2.21 18.04 0.48 4 25,538,550 2.13
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