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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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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. do do
does
doing
Verb 9 -53.67 2.1 159.43 0.64 8 9,339,264 5.82
2. be 're
's
are
be
been
being
is
was
were
Verb 507 -35.62 16.6 736.17 0.78 78 841,189 64.62
3. say say
SAYS
Verb 7 -35.5 1.76 89.75 0.58 6 25,046,359 2.17
4. have 've
had
has
have
having
Verb 88 -33.85 10.71 277.28 0.88 53 1,440,852 37.73
5. go goes
going
gone
Verb 5 -29.99 0.79 63.6 0.48 4 26,635,219 2.04
6. come came
come
comes
coming
Verb 8 -13.47 3.47 31.87 0.54 6 19,087,391 2.85
7. would would Verb 26 -13.17 7.56 49.59 0.76 20 4,848,236 11.21
8. get get
gets
getting
got
Verb 17 -12.34 6.18 38.82 0.67 11 6,215,873 8.75
9. could could Verb 11 -12.07 4.71 31.82 0.66 9 9,145,660 5.94
10. take take
taken
takes
Verb 14 -11.04 5.63 31.3 0.54 7 14,845,440 3.66
11. want want
wanted
wants
Verb 5 -10.24 2.16 18.92 0.56 5 15,158,691 3.59
12. can can Verb 33 -8.79 8.75 31.2 0.78 24 4,412,998 12.32
13. make made
make
makes
making
Verb 32 -6.15 8.94 18.44 0.76 22 4,044,613 13.44
14. should should Verb 13 -6.04 5.98 13.76 0.64 9 13,183,037 4.12
15. give gave
give
given
gives
giving
Verb 16 -5.97 6.68 14.45 0.63 12 6,085,409 8.93
16. may may Verb 15 -5.4 6.55 12.3 0.64 10 14,422,223 3.77
17. must must Verb 8 -5.05 4.52 9.21 0.44 5 13,571,740 4.01
18. will will Verb 51 -4.44 10.65 12.41 0.57 21 3,788,806 14.35
19. follow follow
followed
follows
Verb 5 -4.15 3.13 6.06 0.48 4 18,172,591 2.99
20. become became
become
becomes
Verb 9 -4.02 5.11 6.94 0.58 7 12,599,013 4.31
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