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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
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. include include
included 		Verb 20 3.91 11.64 122.68 0.64 12 8,697,946 6.25
2. pursue pursue
pursuing 		Verb 9 2.89 11.18 239.43 0.68 9 8,297,895 6.55
3. enjoy enjoy
enjoyed
enjoying 		Verb 8 2.47 8.98 48.14 0.61 7 16,589,553 3.28
4. collect collecting Verb 6 2.22 8.6 53.3 0.6 6 16,649,820 3.26
5. turn turn
turned
turning 		Verb 5 0.84 5.32 1.12 0.56 5 16,272,833 3.34
6. take take
taken
takes
taking
took 		Verb 13 0.17 7.47 0.03 0.74 13 6,956,567 7.81
7. become became
become 		Verb 5 0.12 4.73 0.02 0.56 5 18,690,774 2.91
8. get getting
got 		Verb 6 -3.76 3.83 5.68 0.6 6 25,661,542 2.12
9. can ca
can 		Verb 7 -4.43 4.2 7.5 0.58 6 10,914,988 4.98
10. make made
make
making 		Verb 5 -4.46 3.06 6.76 0.56 5 21,716,886 2.5
11. have had
has
have 		Verb 40 -8.05 9.46 31.81 0.79 25 3,297,264 16.49
12. do did
do
does
doing 		Verb 11 -8.18 5.13 20.17 0.66 9 11,225,467 4.84
13. be 's
are
be
been
being
is
was
were 		Verb 131 -14.2 12.9 134.77 0.88 62 1,067,393 50.93
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