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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. be 're
are
be
been
being
is
was
were 		Verb 251 -35.08 14.26 573.5 0.79 43 1,944,073 27.96
2. do did
do
does
done 		Verb 13 -25.46 4.39 84.04 0.64 9 9,646,493 5.64
3. go go
goes
gone 		Verb 5 -17.63 1.49 35.64 0.56 5 18,151,074 2.99
4. have had
has
have
having 		Verb 105 -14.14 12.18 93.72 0.77 29 3,311,207 16.42
5. say said
say
says 		Verb 13 -13.65 5.14 39.96 0.55 8 21,214,266 2.56
6. take take
took 		Verb 5 -13.01 1.87 25.18 0.56 5 18,218,989 2.98
7. see see
seeing
seen 		Verb 6 -12.38 2.57 25.72 0.53 5 15,722,860 3.46
8. get get
got 		Verb 8 -11.96 3.61 27.85 0.34 4 17,551,650 3.1
9. would would Verb 18 -9.29 6.67 27.71 0.71 13 7,850,697 6.92
10. come came
comes
coming 		Verb 6 -9.15 2.93 17.89 0.6 6 13,171,594 4.13
11. can ca
can 		Verb 16 -8.86 6.31 24.96 0.67 10 9,545,333 5.69
12. make made
make
makes
making 		Verb 15 -6.75 6.36 16.92 0.68 10 10,056,810 5.41
13. could could Verb 11 -6.16 5.4 13.47 0.66 9 14,016,440 3.88
14. give gave
give
given
gives
giving 		Verb 11 -4.09 5.76 7.58 0.61 7 11,560,469 4.7
15. must must Verb 5 -3.9 3.19 5.58 0.56 5 16,536,065 3.29
16. use use
used
uses
using 		Verb 11 -3.85 5.81 6.93 0.55 6 16,632,225 3.27
17. mean mean
means
meant 		Verb 5 -3.45 3.3 4.7 0.56 5 20,127,442 2.7
18. find FIND Verb 10 -2.79 5.73 4.16 0.32 3 20,040,722 2.71
19. work work
worked
working 		Verb 7 -1.94 4.82 2.19 0.63 7 16,126,747 3.37
20. leave leave
leaving
left 		Verb 9 -0.96 5.94 0.7 0.55 6 13,692,906 3.97
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