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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:
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. have had
has
have
having 		Verb 22 -30.04 6.03 135.9 0.73 17 6,372,569 8.53
2. be 's
are
be
been
being
is
was
were 		Verb 230 -19.51 14.5 249.33 0.89 78 780,907 69.61
3. say said
say 		Verb 5 -15.9 1.62 31.99 0.48 4 23,958,980 2.27
4. will will Verb 6 -11.11 2.7 22.79 0.6 6 14,222,080 3.82
5. get get
getting
got 		Verb 6 -8.68 2.99 16.88 0.6 6 13,959,009 3.89
6. would would Verb 12 -7.34 5.53 17.69 0.73 12 10,937,451 4.97
7. see saw
see
sees 		Verb 6 -7.22 3.19 13.41 0.43 4 17,616,562 3.09
8. could could Verb 6 -5.92 3.4 10.39 0.53 5 19,176,503 2.83
9. come came
comes 		Verb 7 -4.35 4.21 7.25 0.63 7 15,858,836 3.43
10. should should Verb 5 -4.01 3.16 5.81 0.56 5 11,044,758 4.92
11. may may Verb 7 -2.81 4.57 3.86 0.63 7 12,985,509 4.19
12. want want
wanted
wants 		Verb 6 -2.12 4.27 2.43 0.29 3 18,553,856 2.93
13. must must Verb 5 -1.77 3.8 1.75 0.56 5 18,356,394 2.96
14. follow followed
Following 		Verb 5 -0.33 4.44 0.1 0.34 3 26,007,873 2.09
15. bring bring
bringing
brought 		Verb 5 -0.19 4.53 0.03 0.48 4 24,873,186 2.19
16. base based Verb 5 1.14 5.67 2.65 0.56 5 13,783,813 3.94
17. hear hear
heard
hearing 		Verb 8 1.29 6.88 3.07 0.61 7 22,991,185 2.36
18. pass pass
passed
passes 		Verb 6 1.43 6.44 4.97 0.6 6 15,581,431 3.49
19. reverse reverse
reversed 		Verb 5 2.12 8.87 83.98 0.48 4 37,516,011 1.45
20. await await
awaited
awaiting
awaits 		Verb 6 2.34 9.72 128.38 0.6 6 15,984,505 3.4
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