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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
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R
AWT
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. be 's
are
be
been
being
is
was
were 		Verb 110 -36.32 11.4 442.8 0.84 50 1,328,401 40.92
2. do did
do
does
done 		Verb 10 -17 3.97 47.39 0.58 7 15,077,202 3.61
3. say said
say
says 		Verb 8 -10.56 3.76 24.17 0.57 6 12,160,288 4.47
4. have had
has
have
having 		Verb 68 -10.2 11.01 51.85 0.69 28 3,552,501 15.3
5. make made
make
makes
making 		Verb 6 -7.78 3.11 14.74 0.53 5 24,571,318 2.21
6. take TAKE Verb 5 -7.04 2.59 12.12 0.48 4 34,467,344 1.58
7. use use
used
uses
using 		Verb 8 -2.29 5.15 2.92 0.57 6 13,131,651 4.14
8. will will Verb 22 -1.92 8.42 2.68 0.71 16 4,430,366 12.27
9. tell tells
told 		Verb 5 -1.68 3.84 1.62 0.48 4 24,878,308 2.19
10. call call
called
calling 		Verb 7 0.31 5.79 0.11 0.58 6 15,154,841 3.59
11. study studied
study
studying 		Verb 5 1.75 6.84 13.94 0.56 5 13,851,978 3.92
12. base based Verb 7 1.78 7.23 9.7 0.53 5 20,397,112 2.67
13. include include
included
including 		Verb 11 2.05 8.31 11.12 0.57 8 13,060,992 4.16
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