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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. do did
do
does 		Verb 23 -40.14 5.82 179.77 0.72 16 6,133,549 8.86
2. be 'm
're
's
are
be
been
being
is
was
were 		Verb 665 -38.54 17.44 892.36 0.63 87 527,104 103.13
3. say said
say
says 		Verb 15 -29.16 4.72 102.35 0.74 14 9,243,794 5.88
4. go go
goes
going 		Verb 11 -24.22 3.87 72.01 0.68 10 9,768,202 5.56
5. have had
has
have
having 		Verb 224 -19.38 14.42 182.47 0.84 78 739,541 73.5
6. come came
come 		Verb 8 -17.83 3.13 44.05 0.42 4 21,214,372 2.56
7. can can Verb 24 -16.7 7.03 64.65 0.48 11 10,872,012 5
8. find find
found 		Verb 5 -15.06 1.69 29.57 0.56 5 18,886,942 2.88
9. would would Verb 38 -12.99 8.86 55.62 0.81 29 2,993,457 18.16
10. could could Verb 16 -12.17 5.99 37.12 0.67 12 8,201,735 6.63
11. take take
taken
took 		Verb 19 -11.72 6.61 37.79 0.71 13 8,064,747 6.74
12. want want
wanted
wanting
wants 		Verb 7 -10.71 3.28 22.9 0.58 6 20,828,136 2.61
13. will will
wo 		Verb 41 -9.97 9.36 39.7 0.75 20 4,875,704 11.15
14. become became
become 		Verb 7 -7.44 3.68 14.61 0.58 6 13,779,571 3.94
15. use use
used
using 		Verb 19 -6.86 7.13 18.46 0.66 11 9,938,323 5.47
16. make made
make
makes
making 		Verb 42 -6.58 9.77 21.86 0.51 16 5,392,333 10.08
17. bring bring
brings
brought 		Verb 5 -5.42 2.87 8.61 0.56 5 22,312,345 2.44
18. start start
starting 		Verb 6 -4.16 3.74 6.44 0.38 3 48,170,326 1.13
19. should should Verb 24 -4.1 8.29 9.23 0.55 13 9,780,422 5.56
20. provide provide
provided
provides 		Verb 9 -3.76 5.17 6.3 0.64 8 8,758,791 6.21
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