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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:
Collocate's part of speech:
excelSpreadsheet
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TTEST
MI3
CHISQ
JD
R
AWT
fAWT
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. occur occur
occurs
Verb 8 2.43 8.81 41.3 0.44 5 32,042,736 1.7
2. base based Verb 7 2.11 7.92 22.13 0.38 4 26,364,230 2.06
3. produce produce
produced
produces
producing
Verb 7 1.81 7.28 10.46 0.13 2 35,359,323 1.54
4. reduce reduced
Reducing
Verb 5 1.66 6.59 10.62 0.17 2 27,878,332 1.95
5. allow allow
allows
Verb 6 1.44 6.45 5.05 0.53 5 15,980,428 3.4
6. follow following
follows
Verb 6 1.1 6.03 2.2 0.29 3 29,811,822 1.82
7. may may Verb 6 -0.94 4.7 0.65 0.6 6 13,041,329 4.17
8. should should Verb 5 -1.36 3.96 1.16 0.48 4 23,489,759 2.31
9. can can Verb 13 -1.75 6.83 2.11 0.74 13 7,553,638 7.2
10. take take
taken
takes
taking
Verb 6 -2.77 4.08 3.66 0.53 5 24,922,883 2.18
11. make made
make
making
Verb 5 -4.67 3.02 7.19 0.56 5 20,052,011 2.71
12. will will Verb 6 -5.36 3.5 9.21 0.53 5 12,353,875 4.4
13. would would Verb 5 -7.4 2.54 13.02 0.48 4 24,649,354 2.21
14. do did
do
does
done
Verb 5 -15.35 1.67 31.32 0.56 5 13,833,159 3.93
15. be 's
am
are
be
been
being
is
was
were
Verb 124 -16.06 12.62 158.16 0.85 54 1,594,006 34.1
16. have 've
Had
has
have
having
Verb 16 -19.45 5.45 71.96 0.66 10 7,439,659 7.31
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