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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. become became
become 		Verb 8 -0.55 5.75 0.25 0.34 4 28,172,841 1.93
2. see saw
see
seeing
sees 		Verb 9 -5.91 4.77 11.93 0.61 7 9,123,221 5.96
3. come came
come
coming 		Verb 6 -6.08 3.37 10.74 0.6 6 17,232,979 3.15
4. would would Verb 8 -12.1 3.6 28.41 0.66 8 20,235,849 2.69
5. say said
says 		Verb 6 -16.23 2.24 35.45 0.53 5 14,053,843 3.87
6. have had
has
have 		Verb 36 -24.64 7.99 132.54 0.81 27 3,030,487 17.94
7. do did
do
does 		Verb 5 -32.23 0.7 70.44 0.56 5 18,806,500 2.89
8. be are
be
been
being
is
was
were 		Verb 98 -50.03 10.63 619.46 0.82 49 2,902,046 18.73
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