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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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TTEST
MI3
CHISQ
JD
R
AWT
fAWT
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. be 're
's
are
be
been
being
is
was
were
Verb 400 -58.91 15.31 1,317.97 0.92 92 451,175 120.48
2. say said
say
says
Verb 5 -52.19 0.04 114.89 0.56 5 20,106,275 2.7
3. do did
do
does
Verb 21 -40.15 5.5 172.66 0.77 18 6,624,840 8.21
4. have had
has
have
having
Verb 117 -34.39 11.68 315.57 0.87 60 1,351,895 40.21
5. would would Verb 15 -25.12 4.91 86.38 0.72 13 6,102,985 8.91
6. can ca
can
Verb 17 -20.29 5.61 71.07 0.78 17 5,605,351 9.7
7. will Will Verb 18 -19.26 5.87 68.42 0.77 17 5,602,271 9.7
8. take take
taken
taking
took
Verb 9 -19.23 3.45 50.63 0.68 9 8,672,491 6.27
9. think thinks
thought
Verb 8 -16.69 3.21 40.84 0.66 8 9,973,348 5.45
10. could could Verb 10 -16.29 4.02 43.73 0.66 9 10,536,386 5.16
11. come came
come
comes
Verb 9 -15.53 3.71 39.51 0.64 8 13,298,181 4.09
12. make made
make
makes
making
Verb 18 -14.74 6.18 49.4 0.69 13 7,686,238 7.07
13. give give
Given
gives
Verb 8 -14.17 3.41 33.76 0.66 8 13,664,514 3.98
14. should should Verb 7 -13.2 3.03 29.37 0.49 5 21,541,438 2.52
15. find found Verb 7 -11.26 3.22 24.33 0.58 6 11,567,885 4.7
16. must must Verb 5 -9.78 2.22 17.9 0.48 4 18,749,150 2.9
17. see saw
see
seen
Verb 25 -9.22 7.78 30.34 0.8 22 5,301,219 10.25
18. may may Verb 12 -9.04 5.32 22.86 0.7 11 11,317,115 4.8
19. seem seem
seemed
Verb 5 -8.03 2.44 14.12 0.56 5 15,856,435 3.43
20. work work
worked
working
Verb 6 -7.25 3.18 13.34 0.6 6 12,413,735 4.38
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