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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. be 're
's
are
be
been
being
is
was
were 		Verb 61 -16.11 10.25 126.91 0.79 31 2,339,821 23.23
2. have 'd
had
has
have 		Verb 23 -7.27 7.72 23.43 0.7 15 7,553,923 7.2
3. would would Verb 6 -2.98 4.02 4.1 0.53 5 19,552,662 2.78
4. get get
got 		Verb 7 -1.02 5.15 0.76 0.63 7 10,466,342 5.19
5. see saw
see
sees 		Verb 7 -0.53 5.35 0.24 0.58 6 26,172,921 2.08
6. make made
makes 		Verb 9 -0.18 6.26 0.03 0.58 7 11,036,298 4.93
7. come came
come
comes 		Verb 7 0.16 5.7 0.03 0.63 7 11,089,712 4.9
8. work worked
works 		Verb 5 0.98 5.47 1.71 0.48 4 16,666,061 3.26
9. say said Verb 19 1.05 8.9 1.5 0.5 11 9,340,382 5.82
10. call called Verb 6 1.49 6.52 5.69 0.53 5 19,179,090 2.83
11. ask ask
asked
asks 		Verb 7 1.65 7.03 7.32 0.63 7 19,282,257 2.82
12. become became
become
becoming 		Verb 10 2.21 8.38 16.37 0.52 6 18,780,744 2.89
13. fight fight
fighting 		Verb 7 2.47 9.55 93.38 0.13 2 50,566,203 1.08
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