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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. say said
say
says
Verb 45 3.5 12.05 26.35 0.5 10 10,280,245 5.29
2. talk talk
talked
talking
Verb 8 2.13 8.01 18.22 0.34 4 18,559,008 2.93
3. marry married
marry
marrying
Verb 5 2.01 7.96 40.2 0.34 3 21,779,603 2.5
4. return returned Verb 5 1.58 6.41 8.46 0.34 3 22,501,396 2.42
5. write writes Verb 6 1.38 6.36 4.34 0.48 4 20,886,711 2.6
6. look look
looked
looking
Verb 12 1.33 7.87 2.89 0.38 5 14,859,559 3.66
7. meet meet
meeting
met
Verb 5 1.3 5.9 4.08 0.48 4 17,362,584 3.13
8. hear heard Verb 5 1.2 5.76 3.15 0.48 4 15,668,865 3.47
9. think think
thought
Verb 9 -0.25 6.22 0.06 0.47 4 27,317,171 1.99
10. see saw
see
sees
Verb 10 -0.81 6.31 0.53 0.61 8 16,801,973 3.24
11. make made
make
makes
making
Verb 11 -0.97 6.55 0.75 0.59 7 13,884,064 3.92
12. come came
come
comes
Verb 7 -1.07 5.13 0.82 0.53 5 15,432,440 3.52
13. know knew
know
knows
Verb 8 -1.45 5.4 1.41 0.54 6 21,243,219 2.56
14. get get
got
Verb 8 -2.28 5.15 2.94 0.61 7 18,657,150 2.91
15. go go
goes
went
Verb 8 -2.6 5.06 3.59 0.61 7 17,505,218 3.11
16. will will
wo
Verb 6 -4.74 3.62 7.83 0.53 5 18,871,244 2.88
17. would would Verb 5 -6.64 2.66 11.37 0.48 4 18,691,079 2.91
18. do did
do
Verb 10 -8.29 4.79 19.84 0.54 5 21,004,060 2.59
19. have 'd
had
has
have
having
Verb 33 -9.3 8.7 36.8 0.6 12 10,723,506 5.07
20. be 'm
's
are
be
been
being
is
was
were
Verb 92 -19.48 11.45 187.58 0.8 36 1,851,135 29.37
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