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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
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 123 -12.02 12.83 103.82 0.84 44 1,966,927 27.64
2. do did
do
does 		Verb 8 -8.94 3.94 20.08 0.54 5 15,783,203 3.44
3. have had
has
have
having 		Verb 49 -4.34 10.53 12.98 0.81 27 3,833,310 14.18
4. will will Verb 6 -4.16 3.74 6.55 0.6 6 13,649,482 3.98
5. would would Verb 9 -3.08 5.32 4.79 0.58 7 15,282,220 3.56
6. make made
make
making 		Verb 7 -2.3 4.71 2.87 0.49 5 12,551,981 4.33
7. could could Verb 5 -2.23 3.65 2.53 0.56 5 16,703,268 3.25
8. take take
taken
took 		Verb 7 -1.45 4.99 1.37 0.58 6 12,113,377 4.49
9. come came
come 		Verb 6 -1.23 4.58 1.03 0.53 5 11,419,796 4.76
10. become became
become 		Verb 7 1.09 6.38 2.02 0.53 5 15,848,528 3.43
11. call call
called 		Verb 7 1.43 6.73 4.44 0.63 7 12,220,724 4.45
12. lead leading
led 		Verb 6 1.62 6.73 7.75 0.53 5 14,341,995 3.79
13. fight fight
fighting
fought 		Verb 5 1.95 7.63 30.39 0.48 4 18,374,815 2.96
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