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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. do did
do
does 		Verb 9 -44.1 2.37 129.51 0.58 7 11,611,072 4.68
2. be 're
's
are
be
been
being
is
was
were 		Verb 313 -43.8 14.78 826.98 0.87 81 646,343 84.1
3. have had
has
have
having 		Verb 65 -33.75 9.67 244.88 0.83 38 1,985,231 27.38
4. would would Verb 12 -18.88 4.48 56.63 0.68 10 7,528,711 7.22
5. can can Verb 10 -18.78 3.85 51.95 0.66 9 12,052,494 4.51
6. take taken
takes
Taking
took 		Verb 5 -18.32 1.44 37.04 0.48 4 20,270,281 2.68
7. see saw
see 		Verb 6 -17.55 2.14 38.32 0.6 6 17,725,507 3.07
8. make made
make
makes
making 		Verb 8 -16.8 3.21 41.37 0.61 7 16,310,582 3.33
9. could could Verb 5 -16.73 1.56 33.44 0.48 4 17,332,621 3.14
10. will will Verb 13 -15.46 5 46.17 0.72 12 7,402,869 7.34
11. come came
comes 		Verb 6 -13.19 2.5 27.58 0.53 5 17,917,756 3.03
12. should should Verb 6 -9.35 2.9 18.31 0.53 5 17,125,437 3.17
13. become become
becomes 		Verb 5 -5.59 2.84 8.98 0.56 5 29,291,074 1.86
14. need need
needed 		Verb 5 -5.38 2.88 8.55 0.56 5 16,300,894 3.33
15. may may Verb 15 -3.84 6.82 7.46 0.71 12 8,516,572 6.38
16. hold held
hold
holds 		Verb 5 -3.24 3.35 4.3 0.48 4 17,004,483 3.2
17. lead lead
leading
leads 		Verb 6 -1.08 4.64 0.81 0.6 6 20,854,589 2.61
18. develop develop
developed 		Verb 6 -0.06 5.13 0 0.6 6 14,216,584 3.82
19. increase increased
increases 		Verb 5 -0.02 4.63 0 0.56 5 22,564,565 2.41
20. explain explain
explaining 		Verb 5 0.03 4.66 0 0.34 3 28,049,915 1.94
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