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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 'm
're
's
are
be
been
being
is
was
were
Verb 226 -26.69 14.17 384.48 0.87 66 905,862 60.01
2. do did
do
does
done
Verb 15 -17.16 5.37 56.69 0.68 11 7,177,171 7.57
3. have had
has
have
having
Verb 61 -17.07 10.19 102 0.79 27 3,386,925 16.05
4. will will Verb 5 -15.49 1.66 30.91 0.56 5 20,699,780 2.63
5. can can Verb 6 -13.88 2.43 29.54 0.53 5 13,405,126 4.06
6. say said
say
says
Verb 10 -12.13 4.37 31.24 0.66 9 10,027,621 5.42
7. would would Verb 10 -10.95 4.49 27.53 0.7 10 7,899,043 6.88
8. make made
make
makes
Verb 6 -10.62 2.75 21.49 0.6 6 16,548,542 3.28
9. know know
known
Verb 5 -9.93 2.2 18.4 0.56 5 24,951,322 2.18
10. take take
taken
taking
took
Verb 6 -8.37 3.03 16.09 0.6 6 14,619,476 3.72
11. come came
come
comes
coming
Verb 6 -6.57 3.29 11.86 0.6 6 21,015,683 2.59
12. see see
seen
Verb 9 -6.42 4.69 13.32 0.45 4 28,299,092 1.92
13. give gave
give
given
Verb 5 -6.31 2.71 10.52 0.48 4 17,938,893 3.03
14. should should Verb 5 -5.22 2.91 8.24 0.48 4 18,174,155 2.99
15. use use
used
uses
Verb 7 -4.34 4.21 7.2 0.63 7 9,087,910 5.98
16. become became
becomes
becoming
Verb 5 -2.28 3.63 2.58 0.56 5 15,952,283 3.41
17. bring bringing
brings
brought
Verb 5 -0.66 4.27 0.34 0.48 4 16,748,047 3.25
18. discover discover
discovered
discovering
Verb 5 1.53 6.32 7.52 0.56 5 14,963,245 3.63
19. occur occur
occurred
occurs
Verb 7 1.75 7.18 9.11 0.58 6 11,333,254 4.8
20. arise arisen
arising
Verb 6 1.86 7.22 14.34 0.29 3 19,376,136 2.81
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