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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. read read
reading
Verb 27 4.71 12.94 239.91 0.56 11 10,534,819 5.16
2. meet meets
met
Verb 7 1.56 6.9 5.91 0.26 3 26,326,411 2.06
3. write writes
writing
written
wrote
Verb 8 1.55 7.14 5.29 0.57 6 15,465,083 3.51
4. tell tell
told
Verb 12 1.48 7.98 3.86 0.6 7 15,037,395 3.61
5. help help
helped
helping
Verb 6 0.9 5.83 1.29 0.53 5 13,648,803 3.98
6. 's 's Verb 5 0.6 5.09 0.49 0.56 5 12,904,974 4.21
7. call Call
called
Verb 6 0.47 5.48 0.28 0.6 6 11,719,180 4.64
8. ask asked
asking
Verb 6 0.24 5.32 0.06 0.53 5 16,208,213 3.35
9. leave leave
leaving
left
Verb 5 -0.3 4.46 0.08 0.56 5 19,294,422 2.82
10. see saw
see
seen
Verb 16 -0.33 7.88 0.1 0.63 10 7,657,594 7.1
11. say said
says
Verb 18 -2.75 7.62 4.72 0.66 13 8,832,650 6.15
12. take take
takes
took
Verb 7 -3.5 4.4 5.35 0.58 6 18,567,812 2.93
13. come came Verb 5 -3.83 3.21 5.46 0.56 5 24,067,870 2.26
14. make made
make
Verb 6 -5.57 3.46 9.64 0.48 4 16,255,376 3.34
15. go goes
going
went
Verb 6 -6.2 3.35 11.1 0.6 6 10,488,999 5.18
16. have had
has
have
Verb 37 -13.52 8.73 63.25 0.73 21 4,793,737 11.34
17. do did
does
Verb 5 -20.12 1.32 42.33 0.48 4 28,286,305 1.92
18. be 's
are
be
been
is
was
were
Verb 96 -29.49 11.17 324.84 0.84 42 1,838,871 29.56
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