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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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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. do did
does
doing
done 		Verb 9 -79.88 1.55 241.5 0.68 9 19,688,814 2.76
2. have had
has
have 		Verb 113 -45.16 11.25 433.43 0.73 40 1,978,806 27.47
3. say said
say
says 		Verb 10 -43.52 2.76 131.73 0.64 8 12,985,571 4.19
4. know knew
know
known 		Verb 5 -34.9 0.59 74.46 0.48 4 30,752,797 1.77
5. be 're
's
are
be
been
being
is
was
were 		Verb 935 -32.02 18.7 750.66 0.88 100 200,523 271.09
6. give give
given
giving 		Verb 5 -23.84 1.1 49.26 0.56 5 11,824,645 4.6
7. see see Verb 15 -18.39 5.29 59.75 0.65 10 17,650,782 3.08
8. would would Verb 34 -17.53 8.17 78.6 0.71 17 6,129,619 8.87
9. make made
make
makes
making 		Verb 20 -17.37 6.36 62.86 0.75 17 5,071,247 10.72
10. can can Verb 33 -15.51 8.2 66.45 0.77 22 3,980,622 13.66
11. want want
wanted 		Verb 6 -14.2 2.4 29.89 0.6 6 11,831,490 4.59
12. take take
taken
takes
taking
took 		Verb 19 -14.2 6.41 48.04 0.67 11 6,570,968 8.27
13. come came
come
comes
coming 		Verb 17 -12.23 6.19 38.16 0.71 13 6,262,659 8.68
14. may may Verb 12 -11.7 5.04 31.58 0.66 9 11,136,658 4.88
15. mean mean
means
meant 		Verb 5 -11.25 2.05 21.11 0.48 4 19,565,919 2.78
16. put put Verb 6 -10.44 2.77 20.83 0.6 6 11,156,536 4.87
17. could could Verb 24 -10.33 7.53 34.8 0.63 15 7,656,862 7.1
18. become became
become
becomes 		Verb 6 -10.12 2.81 20.08 0.53 5 18,940,748 2.87
19. provide Provide
provided
providing 		Verb 5 -8.23 2.42 14.53 0.56 5 15,391,665 3.53
20. must must Verb 9 -7.86 4.48 17.17 0.61 7 12,310,148 4.42
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