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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 's
are
be
been
being
is
was
were 		Verb 248 -37.84 14.14 630.45 0.84 71 927,333 58.62
2. have 've
had
has
have
having 		Verb 45 -32.27 8.45 199.84 0.78 23 4,668,751 11.64
3. do did
do
does
doing
done 		Verb 11 -29.73 3.6 92.75 0.61 8 9,785,194 5.56
4. say said Verb 10 -17.42 3.94 47.85 0.61 8 21,146,770 2.57
5. will will Verb 8 -16.02 3.26 39.35 0.66 8 14,344,654 3.79
6. can can Verb 10 -13.86 4.22 36.47 0.66 9 8,517,272 6.38
7. see saw
see
seeing 		Verb 7 -11.72 3.17 25.69 0.58 6 18,232,134 2.98
8. would 'd
would 		Verb 15 -11.63 5.81 34.63 0.71 13 7,420,985 7.33
9. could could Verb 6 -10.98 2.71 22.28 0.53 5 18,615,318 2.92
10. take take
taken
takes
taking
took 		Verb 10 -8.11 4.81 18.73 0.64 8 11,890,574 4.57
11. come came
come 		Verb 8 -7.68 4.11 16.07 0.61 7 12,979,037 4.19
12. use used
uses
using 		Verb 8 -5.96 4.36 11.56 0.61 7 17,937,732 3.03
13. make made
make
makes
making 		Verb 18 -5.91 7.08 14.84 0.77 17 4,536,240 11.98
14. should should Verb 7 -5.83 3.94 10.7 0.53 5 18,951,769 2.87
15. may may Verb 8 -5.36 4.47 10.02 0.57 6 14,667,354 3.71
16. mean mean
means 		Verb 5 -3.71 3.23 5.2 0.48 4 19,759,139 2.75
17. leave left Verb 5 -3.32 3.33 4.46 0.56 5 25,600,068 2.12
18. follow followed
following 		Verb 5 -1.88 3.76 1.93 0.56 5 16,696,004 3.26
19. bring bringing
brought 		Verb 5 -1.66 3.84 1.59 0.56 5 16,553,648 3.28
20. begin began
begin
begun 		Verb 5 -1.45 3.92 1.28 0.56 5 25,910,152 2.1
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