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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:
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MI3
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. lead lead
leading
leads
led
Verb 17 3.51 10.93 83.63 0.72 14 7,431,445 7.31
2. apply applied
applies
apply
Applying
Verb 15 3.49 11.16 123.75 0.71 12 8,752,399 6.21
3. adopt adopt
adopted
Verb 11 3.12 10.97 161.56 0.57 8 11,499,656 4.73
4. explain explain
explained
explaining
explains
Verb 10 2.71 9.44 51.14 0.7 10 7,094,573 7.66
5. employ employ
employed
employs
Verb 5 1.97 7.69 32.05 0.48 4 27,555,685 1.97
6. base based Verb 6 1.85 7.19 13.86 0.43 3 33,762,995 1.61
7. understand understand Verb 6 1.75 6.97 10.61 0.6 6 18,442,950 2.95
8. follow follow
followed
Following
follows
Verb 8 1.61 7.21 5.99 0.54 6 15,663,491 3.47
9. involve involved
involves
involving
Verb 5 1.46 6.17 6.12 0.48 4 22,953,484 2.37
10. use use
used
using
Verb 14 1.25 8.2 2.36 0.73 13 7,030,066 7.73
11. seem seem
seemed
seems
Verb 7 0.9 6.22 1.25 0.63 7 16,252,208 3.34
12. can can Verb 14 -1.66 7.09 1.95 0.56 8 11,773,305 4.62
13. could could Verb 7 -2.02 4.8 2.35 0.63 7 15,636,108 3.48
14. would would Verb 7 -5.87 3.93 10.98 0.53 5 15,369,731 3.54
15. say say
saying
says
Verb 5 -8.69 2.36 15.86 0.56 5 19,322,628 2.81
16. be 's
are
be
been
being
is
was
were
Verb 166 -11.7 13.82 107.49 0.88 67 1,091,567 49.8
17. do did
do
does
Verb 8 -11.72 3.64 27.91 0.66 8 10,331,100 5.26
18. have had
has
have
Verb 25 -14.63 7.31 60.77 0.73 18 8,345,329 6.51
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