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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 are
be
been
being
is
was
were 		Verb 226 -27.97 14.12 409.73 0.91 80 774,875 70.15
2. do did
do 		Verb 8 -26.86 2.61 71.85 0.66 8 12,184,345 4.46
3. have had
has
have 		Verb 62 -17.56 10.22 106.47 0.85 40 1,876,211 28.97
4. can can Verb 5 -16.21 1.6 32.54 0.56 5 11,828,561 4.6
5. would would Verb 13 -9.15 5.58 24.26 0.64 9 8,810,786 6.17
6. take take
taking
took 		Verb 7 -7.68 3.65 15.33 0.58 6 12,911,639 4.21
7. see see Verb 8 -7.47 4.14 15.55 0.54 5 37,351,849 1.46
8. come came
come 		Verb 7 -5.96 3.91 11.05 0.63 7 17,673,010 3.08
9. could could Verb 13 -3.38 6.45 5.99 0.72 12 8,520,992 6.38
10. may may Verb 9 -2.91 5.36 4.35 0.64 8 10,804,063 5.03
11. must must Verb 5 -2.69 3.51 3.3 0.34 3 18,908,966 2.87
12. will will Verb 27 -2.66 8.91 4.79 0.77 20 4,856,101 11.19
13. should should Verb 10 -2.27 5.86 3.02 0.61 7 10,179,093 5.34
14. become became
become
becomes 		Verb 9 -0.47 6.13 0.19 0.68 9 9,337,919 5.82
15. might might Verb 9 -0.1 6.29 0.01 0.64 8 15,680,080 3.47
16. create create
created
creating 		Verb 5 0.73 5.21 0.79 0.48 4 19,994,940 2.72
17. include include
included
includes 		Verb 10 1.42 7.5 3.66 0.52 6 14,822,049 3.67
18. find find
finding
found 		Verb 22 1.48 9.46 3.21 0.77 19 5,389,965 10.09
19. state states Verb 5 1.52 6.29 7.26 0.48 4 35,035,623 1.55
20. name name
named
naming 		Verb 6 2.07 7.85 27.38 0.53 5 14,747,986 3.69
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