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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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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. be 's
are
be
been
being
is
was
were 		Verb 86 -24.78 10.98 250.45 0.82 41 2,595,288 20.95
2. do did
do
does
done 		Verb 8 -11.67 3.64 27.78 0.61 7 10,361,931 5.25
3. have had
has
have 		Verb 55 -5.78 10.73 20.91 0.76 24 3,759,065 14.46
4. will will Verb 9 -3.65 5.19 6.14 0.61 7 14,244,803 3.82
5. come came
come 		Verb 5 -2.74 3.49 3.41 0.48 4 19,015,363 2.86
6. see saw
see
seen 		Verb 7 -2.73 4.59 3.72 0.63 7 14,587,507 3.73
7. could could Verb 6 -2.58 4.13 3.28 0.6 6 10,555,447 5.15
8. make made
make
making 		Verb 10 -1.93 5.96 2.36 0.66 9 8,801,649 6.18
9. find find
finds
found 		Verb 6 -0.56 4.87 0.25 0.43 4 14,337,785 3.79
10. say said
says 		Verb 26 0.32 9.5 0.11 0.69 14 9,077,717 5.99
11. leave leaves
left 		Verb 6 0.55 5.54 0.4 0.29 3 18,072,424 3.01
12. describe described
describes 		Verb 5 1.43 6.12 5.73 0.48 4 21,073,012 2.58
13. claim claimed Verb 5 1.6 6.45 8.91 0.34 3 20,027,018 2.71
14. add added
adds 		Verb 7 1.87 7.38 11.86 0.49 5 27,760,896 1.96
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