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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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R
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. do did
do
does
Verb 11 -33.15 3.46 104.46 0.68 10 10,333,356 5.26
2. be 're
's
are
be
been
being
is
was
were
Verb 360 -30.1 15.61 524.7 0.89 89 523,858 103.77
3. have had
has
have
having
Verb 67 -27.06 10.03 189.58 0.84 41 2,388,742 22.76
4. say said
say
Verb 7 -24.49 2.26 60.03 0.53 5 16,758,467 3.24
5. can can Verb 9 -16.79 3.62 43.68 0.61 7 11,861,709 4.58
6. get get
gets
got
Verb 8 -14.24 3.41 34.2 0.61 7 14,219,470 3.82
7. would 'd
would
Verb 14 -13.96 5.37 42.22 0.68 11 7,901,764 6.88
8. could could Verb 6 -12.37 2.57 25.62 0.6 6 15,984,015 3.4
9. see saw
see
Verb 10 -10.1 4.58 24.69 0.66 9 10,665,050 5.1
10. should should Verb 6 -7.65 3.13 14.32 0.53 5 14,194,253 3.83
11. will will
wo
Verb 23 -7.47 7.69 22.29 0.75 17 5,379,179 10.11
12. take taken
taking
took
Verb 13 -7.3 5.8 17.89 0.66 10 8,163,245 6.66
13. give gave
give
given
giving
Verb 9 -6.45 4.68 13.36 0.64 8 8,220,989 6.61
14. come came
come
comes
Verb 12 -6 5.72 13.34 0.68 10 9,148,779 5.94
15. must must Verb 5 -4.85 2.98 7.47 0.56 5 22,999,994 2.36
16. may may Verb 13 -3.48 6.43 6.22 0.74 13 8,011,154 6.79
17. bring bring
brought
Verb 5 -2.06 3.7 2.22 0.56 5 17,113,205 3.18
18. develop develop
developed
Verb 5 -0.12 4.57 0.01 0.48 4 22,348,112 2.43
19. consider consider
considered
Verb 8 0.55 6.31 0.37 0.61 7 11,257,183 4.83
20. accept accept
accepted
accepting
Verb 6 0.62 5.59 0.52 0.6 6 13,724,357 3.96
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