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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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R
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. be 's
are
be
been
is
was
were 		Verb 70 -15.15 10.77 122.34 0.69 20 6,590,303 8.25
2. have had
has
have 		Verb 33 -4.87 9.2 14.3 0.59 9 17,043,703 3.19
3. would would Verb 7 -2.65 4.61 3.59 -0.01 1 53,809,928 1.01
4. see saw
see
seen 		Verb 5 -1.73 3.82 1.71 0.48 4 16,634,321 3.27
5. will will
wo 		Verb 8 -1.57 5.36 1.61 0.42 4 25,113,271 2.16
6. say said
say
says 		Verb 18 0.67 8.59 0.54 0.6 8 9,406,393 5.78
7. write writes
written
wrote 		Verb 5 1.41 6.08 5.35 0.4 3 30,443,448 1.79
8. like liked Verb 6 1.66 6.8 8.58 -0.01 1 54,267,972 1
9. name named Verb 6 2.33 9.57 114.6 0.15 2 28,003,150 1.94
10. shine Shining Verb 6 2.41 11.24 390.36 0.29 2 48,064,870 1.13
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