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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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MI3
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. make made
make
makes
making
Verb 151 10.15 17 603.07 0.86 60 1,085,662 50.07
2. confirm confirm
confirmed
confirms
Verb 19 4.11 12.65 301.58 0.74 16 9,919,589 5.48
3. test test
tested
testing
Verb 16 3.81 12.37 300.49 0.61 10 12,055,887 4.51
4. base based
bases
basing
Verb 17 3.54 11 88.92 0.75 15 6,531,186 8.32
5. yield yield
yielded
yielding
yields
Verb 6 2.34 9.66 123.08 0.53 5 12,128,984 4.48
6. prove prove
proved
Verb 8 2.19 8.16 21.49 0.66 8 9,932,978 5.47
7. generate generate
generates
generating
Verb 6 2.17 8.33 42.23 0.6 6 12,485,357 4.35
8. compare compare
compared
comparing
Verb 5 1.52 6.28 7.15 0.48 4 21,892,182 2.48
9. support support
supported
Verb 6 1.5 6.54 5.83 0.43 4 29,302,850 1.86
10. lead lead
leads
led
Verb 7 1.1 6.39 2.08 0.63 7 9,501,509 5.72
11. provide provide
provides
providing
Verb 8 0.6 6.35 0.47 0.57 6 16,238,472 3.35
12. include include
includes
Verb 5 0.27 4.83 0.09 0.56 5 22,465,769 2.42
13. come came
come
comes
Verb 12 -1.77 6.58 2.09 0.73 12 6,900,771 7.88
14. can can Verb 24 -1.8 8.72 2.42 0.75 18 6,243,493 8.71
15. use used
using
Verb 6 -3.74 3.83 5.59 0.6 6 13,509,908 4.02
16. could could Verb 8 -4.26 4.67 7.34 0.61 7 14,603,806 3.72
17. will will Verb 15 -4.52 6.7 9.63 0.74 14 6,201,080 8.77
18. would would Verb 9 -9.2 4.32 21.33 0.58 7 11,665,621 4.66
19. be 's
are
be
been
being
is
was
were
Verb 236 -18.13 14.64 225.88 0.9 77 788,364 68.95
20. have had
has
have
Verb 35 -21.03 8.07 108.26 0.8 29 3,131,833 17.36
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