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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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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 are
be
been
being
is
was
were
Verb 208 -48.06 13.29 798.71 0.88 72 879,620 61.8
2. do did
do
does
done
Verb 9 -36.02 2.64 104.26 0.68 9 8,238,468 6.6
3. have had
has
have
having
Verb 53 -31.07 9.06 204.33 0.85 37 2,169,479 25.06
4. see saw
see
Verb 5 -15.91 1.62 31.68 0.56 5 13,640,662 3.99
5. get get
Getting
got
Verb 7 -15.02 2.88 34.38 0.58 6 10,210,389 5.32
6. can can Verb 10 -15.01 4.12 40.07 0.66 9 9,649,728 5.63
7. would would Verb 14 -13.4 5.42 40.14 0.73 13 9,167,029 5.93
8. make made
make
makes
making
Verb 9 -12.33 3.99 30.26 0.68 9 10,995,646 4.94
9. could could Verb 8 -9.59 3.87 21.23 0.66 8 13,995,169 3.88
10. should should Verb 5 -8.47 2.38 15.12 0.56 5 18,882,508 2.88
11. will will Verb 22 -7.45 7.55 21.9 0.71 17 5,597,942 9.71
12. give gave
give
given
giving
Verb 8 -6.88 4.22 13.93 0.61 7 13,069,775 4.16
13. come came
come
comes
coming
Verb 10 -6.87 4.98 15.06 0.66 9 16,143,770 3.37
14. may may Verb 7 -6.7 3.79 12.83 0.63 7 17,540,152 3.1
15. take take
taken
takes
taking
took
Verb 18 -4.73 7.26 10.74 0.57 11 9,034,810 6.02
16. need need
needed
Verb 5 -4.07 3.15 5.91 0.56 5 24,387,498 2.23
17. follow followed
Following
follows
Verb 7 -1.07 5.12 0.82 0.63 7 15,337,688 3.54
18. include include
included
Verb 6 -0.69 4.81 0.37 0.53 5 14,066,954 3.86
19. mean mean
means
Verb 13 -0.33 7.27 0.1 0.7 11 7,786,295 6.98
20. base based Verb 5 0.36 4.89 0.15 0.48 4 23,994,173 2.27
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