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