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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 268 -23.67 14.84 343.13 0.9 80 809,329 67.17
2. have 've
had
has
have 		Verb 56 -19.65 9.76 118.77 0.82 36 2,262,134 24.03
3. say said
saying 		Verb 6 -18.19 2.1 40.3 0.53 5 16,491,197 3.3
4. do did
do
does
done 		Verb 17 -16.53 5.85 57 0.75 15 6,929,335 7.84
5. would would Verb 7 -14.98 2.88 34.52 0.63 7 16,632,101 3.27
6. make made
make
makes
making 		Verb 6 -11.2 2.69 22.91 0.6 6 19,186,576 2.83
7. see see Verb 6 -9.6 2.87 19.03 0.53 5 18,469,136 2.94
8. take take
taken
takes
taking
took 		Verb 8 -6.96 4.21 14.21 0.66 8 7,796,901 6.97
9. could could Verb 9 -5.52 4.83 10.86 0.64 8 14,386,549 3.78
10. can can Verb 22 -4.22 7.99 9.59 0.75 17 5,066,908 10.73
11. need need
needed 		Verb 5 -2.35 3.61 2.71 0.56 5 17,874,147 3.04
12. use use
used
using 		Verb 12 -2.11 6.48 2.8 0.7 11 9,799,353 5.55
13. might might Verb 5 -1.98 3.73 2.09 0.56 5 23,274,258 2.34
14. may may Verb 12 -1.73 6.59 2.01 0.7 11 7,947,757 6.84
15. will will Verb 33 -1.46 9.76 1.75 0.74 20 5,174,493 10.51
16. should should Verb 13 -1.22 6.98 1.13 0.74 13 7,848,381 6.93
17. show show
showed
shown
shows 		Verb 8 -0.48 5.77 0.2 0.61 7 11,051,186 4.92
18. mean mean
means
meant 		Verb 9 -0.44 6.14 0.17 0.58 7 10,476,111 5.19
19. include include
included 		Verb 5 -0.26 4.48 0.06 0.56 5 16,325,457 3.33
20. start started
starting
starts 		Verb 6 -0.16 5.08 0.02 0.43 4 23,370,248 2.33
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