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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. be 'm
're
's
are
be
been
being
is
was
were 		Verb 233 -26.39 14.28 382.37 0.89 79 678,350 80.13
2. do did
do
does
done 		Verb 23 -12.43 7.2 44.94 0.78 20 4,374,381 12.43
3. can ca
can 		Verb 8 -11.51 3.66 26.71 0.61 7 23,809,462 2.28
4. get get
got 		Verb 6 -11.01 2.71 22.46 0.53 5 12,110,222 4.49
5. could could Verb 5 -8.85 2.33 16 0.34 3 20,003,839 2.72
6. know knew
know
knows 		Verb 6 -8.81 2.97 17.14 0.6 6 14,431,303 3.77
7. go go
goes
going
gone
went 		Verb 9 -8.67 4.38 19.69 0.64 8 10,670,278 5.09
8. have had
has
have
having 		Verb 113 -7.9 12.84 39.94 0.85 54 1,301,876 41.75
9. would would Verb 15 -7.81 6.22 20.71 0.74 14 7,080,729 7.68
10. will will Verb 14 -6.99 6.09 17.42 0.68 11 8,805,590 6.17
11. come came
come
coming 		Verb 6 -6.69 3.27 12.14 0.6 6 23,907,669 2.27
12. see saw
see
seen 		Verb 10 -5.89 5.13 12.32 0.66 9 8,892,804 6.11
13. look looked
looking
looks 		Verb 5 -5.31 2.89 8.42 0.56 5 20,709,025 2.62
14. use use
used
uses
using 		Verb 6 -5.2 3.53 8.74 0.6 6 15,654,193 3.47
15. make made
make 		Verb 14 -4.93 6.4 10.67 0.68 11 7,139,845 7.61
16. take take
takes
taking 		Verb 11 -4.78 5.63 9.51 0.68 10 11,733,174 4.63
17. say said
say
says 		Verb 27 -4.24 8.65 10.16 0.75 18 8,836,131 6.15
18. may may Verb 7 -3.95 4.3 6.32 0.58 6 12,076,971 4.5
19. give gave
given
giving 		Verb 10 -2.96 5.69 4.58 0.61 8 16,746,211 3.25
20. become became
become 		Verb 5 -2.34 3.61 2.69 0.56 5 13,750,926 3.95
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