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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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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. apply applied
apply
applying 		Verb 5 1.47 6.18 6.25 0.17 2 44,930,209 1.21
2. understand understand
understands 		Verb 5 1.34 5.96 4.47 0.56 5 15,302,461 3.55
3. work worked
working
works 		Verb 6 0.18 5.28 0.04 0.6 6 16,937,191 3.21
4. use use
used
using 		Verb 8 -1.01 5.56 0.76 0.44 5 34,869,390 1.56
5. give gave
give
given 		Verb 6 -2.13 4.27 2.46 0.6 6 13,643,264 3.98
6. come came
come
comes
coming 		Verb 6 -2.85 4.06 3.8 0.6 6 13,661,516 3.98
7. can can Verb 10 -4.27 5.41 7.93 0.58 7 12,030,663 4.52
8. say said
say
saying
says 		Verb 11 -5.25 5.55 10.96 0.64 9 10,381,775 5.24
9. get get
getting
got 		Verb 5 -6.31 2.71 10.61 0.56 5 20,218,505 2.69
10. would 'd
would 		Verb 7 -7.27 3.71 14.44 0.63 7 11,438,669 4.75
11. will will Verb 5 -8.18 2.42 14.67 0.48 4 14,500,287 3.75
12. do did
do
does
doing
done 		Verb 12 -10.36 5.17 28.1 0.66 10 10,352,101 5.25
13. have 've
had
has
have 		Verb 32 -14.53 8.16 65.97 0.74 22 4,485,510 12.12
14. be 'm
's
are
be
been
being
is
was
were 		Verb 125 -21.79 12.37 241.19 0.83 48 1,886,155 28.82
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