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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 45 -32.58 8.43 202.07 0.81 31 3,034,960 17.91
2. be 's
are
be
been
being
is
was
were 		Verb 315 -30.18 15.17 505.24 0.87 71 976,849 55.65
3. say say
says 		Verb 6 -24.33 1.72 55.58 0.48 4 16,034,167 3.39
4. do did
do
does 		Verb 17 -22.67 5.47 82.68 0.76 16 6,943,383 7.83
5. take take
taken
took 		Verb 5 -13.84 1.8 27.02 0.56 5 15,648,560 3.47
6. would would Verb 18 -10.02 6.59 30.61 0.69 12 9,974,393 5.45
7. will will Verb 15 -10 5.97 28.53 0.74 14 8,117,262 6.7
8. see see
seen 		Verb 9 -9.77 4.25 22.77 0.64 8 10,657,742 5.1
9. make made
make 		Verb 11 -9.77 4.94 24.61 0.66 9 7,992,127 6.8
10. could could Verb 9 -8.05 4.46 17.83 0.64 8 23,573,632 2.31
11. use USE
used
using 		Verb 8 -6.03 4.35 11.73 0.61 7 10,303,788 5.28
12. can can Verb 26 -5.54 8.34 15.04 0.73 18 6,210,935 8.75
13. must must Verb 5 -4.24 3.11 6.24 0.56 5 14,243,980 3.82
14. become became
become
becomes 		Verb 6 -3.14 3.98 4.34 0.6 6 15,254,488 3.56
15. might might Verb 6 -2.55 4.14 3.2 0.6 6 15,299,432 3.55
16. mean mean
means
meant 		Verb 9 -1.47 5.77 1.45 0.68 9 9,133,684 5.95
17. may may Verb 18 -1.26 7.96 1.24 0.73 15 8,226,239 6.61
18. give give
Given
giving 		Verb 21 -1.07 8.48 0.94 0.77 18 3,959,197 13.73
19. lead lead
leads 		Verb 5 -0.78 4.21 0.46 0.48 4 18,783,321 2.89
20. put put
puts
putting 		Verb 12 -0.59 6.94 0.29 0.7 11 8,270,420 6.57
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