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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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Part of speech:
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excelSpreadsheet
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MI3
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. be 'm
's
are
be
been
being
is
was
Verb 124 -17.16 12.56 173.62 0.84 53 1,373,278 39.58
2. have had
has
have
Verb 32 -11.6 8.39 49.19 0.75 20 4,799,741 11.33
3. do did
does
doing
Verb 9 -10.64 4.15 26.03 0.68 9 11,517,857 4.72
4. would would Verb 8 -5.1 4.51 9.5 0.66 8 11,333,580 4.8
5. get get
got
Verb 5 -5.07 2.94 8.01 0.56 5 18,760,828 2.9
6. see saw
see
seen
Verb 6 -3.34 3.93 4.8 0.53 5 21,706,839 2.5
7. make made
make
MAKES
Verb 8 -2.86 4.99 4.13 0.66 8 20,783,622 2.62
8. should should Verb 5 -1.51 3.9 1.37 0.48 4 18,209,388 2.99
9. come came
come
comes
Verb 8 -1.09 5.53 0.87 0.61 7 11,223,434 4.84
10. say said
say
says
Verb 21 -0.72 8.57 0.46 0.76 17 7,504,902 7.24
11. call called
calls
Verb 5 0.46 4.98 0.27 0.56 5 21,232,577 2.56
12. ask ask
asked
asking
Verb 8 1.26 6.85 2.89 0.66 8 11,368,280 4.78
13. appoint appointed Verb 9 2.81 10.3 122.63 0.47 5 14,012,125 3.88
14. become became
become
becomes
becoming
Verb 20 3.34 10.62 44.21 0.64 10 12,138,500 4.48
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