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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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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. be 're
are
be
been
being
is
was
were 		Verb 246 -35.81 14.17 585.22 0.87 72 1,026,539 52.95
2. do do
does 		Verb 9 -31.97 2.8 91.66 0.64 8 10,500,917 5.18
3. have had
has
have 		Verb 85 -17.92 11.26 121.67 0.83 43 1,728,098 31.46
4. take take
taken
took 		Verb 5 -13.03 1.87 25.22 0.48 4 22,579,069 2.41
5. will will Verb 10 -12.97 4.29 33.7 0.58 7 11,093,042 4.9
6. would would Verb 13 -12.34 5.26 35.26 0.62 10 7,625,989 7.13
7. make made
make
makes 		Verb 9 -10.74 4.14 25.62 0.68 9 8,303,757 6.55
8. come came
come
comes 		Verb 6 -9.16 2.92 17.92 0.53 5 14,156,673 3.84
9. see saw
see
seen 		Verb 9 -9.13 4.32 20.92 0.58 7 9,964,192 5.46
10. could could Verb 8 -8.3 4.02 17.75 0.57 6 13,701,417 3.97
11. find find
found 		Verb 5 -6.19 2.73 10.24 0.56 5 17,028,170 3.19
12. can can Verb 23 -5.95 7.88 16.13 0.76 17 3,988,902 13.63
13. should should Verb 9 -4.15 5.09 7.3 0.68 9 9,116,713 5.96
14. show show
shown
shows 		Verb 6 -2.26 4.23 2.66 0.53 5 15,337,098 3.54
15. bring bring
brings
brought 		Verb 6 -0.95 4.7 0.66 0.6 6 12,712,910 4.28
16. follow follow
followed
follows 		Verb 7 -0.69 5.28 0.38 0.53 5 16,853,143 3.23
17. might might Verb 10 -0.51 6.43 0.23 0.64 8 11,293,929 4.81
18. lead lead
leading
leads
led 		Verb 6 -0.17 5.07 0.03 0.6 6 13,452,747 4.04
19. create create
creating 		Verb 5 0.35 4.89 0.15 0.56 5 19,860,379 2.74
20. remain remain
remained
remains 		Verb 6 0.36 5.4 0.16 0.53 5 14,373,623 3.78
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