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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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R
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. be 'm
are
be
been
being
is
was
were 		Verb 84 -36.97 10.45 406.69 0.84 43 2,002,704 27.14
2. do did
does
done 		Verb 6 -19.97 1.98 45.54 0.6 6 11,285,411 4.82
3. have had
has
have
having 		Verb 47 -12.25 9.63 60.05 0.8 28 2,868,174 18.95
4. get get
getting 		Verb 5 -7.57 2.51 13.3 0.48 4 31,614,421 1.72
5. will will Verb 8 -6.62 4.26 13.39 0.66 8 13,711,097 3.96
6. see see Verb 7 -4.55 4.17 7.73 0.58 6 24,179,783 2.25
7. go go
going
went 		Verb 10 -4.2 5.42 7.72 0.66 9 16,894,370 3.22
8. would would Verb 16 -3.52 7.09 6.76 0.67 10 10,694,244 5.08
9. come came
come
comes
coming 		Verb 7 -2.98 4.53 4.23 0.58 6 15,076,794 3.61
10. leave leave
leaving
left 		Verb 6 -0.09 5.12 0.01 0.48 4 16,498,422 3.29
11. lead leading
led 		Verb 5 0.73 5.22 0.81 0.56 5 26,948,253 2.02
12. visit visit
visited 		Verb 5 1.72 6.76 12.82 0.56 5 14,057,927 3.87
13. escape escape
escaped
escaping 		Verb 6 2.23 8.64 54.86 0.15 2 44,716,281 1.22
14. enter enter
entered
entering
enters 		Verb 13 3.21 10.58 93.59 0.22 4 25,013,308 2.17
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