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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. elect elected
elects 		Verb 16 3.91 13.42 651.51 0.53 8 13,921,982 3.9
2. consist consisting
consists 		Verb 9 2.84 10.61 156.21 0.25 2 52,848,976 1.03
3. comprise comprised
comprises
comprising 		Verb 8 2.74 11 240.51 0.36 3 29,993,758 1.81
4. pass pass
passed
passing 		Verb 9 2.52 9 40.23 0.58 7 10,972,554 4.95
5. approve approve
approved 		Verb 7 2.5 9.8 114.18 0.45 4 26,669,143 2.04
6. state state
stated 		Verb 7 2.36 8.85 52.51 0.45 4 24,497,340 2.22
7. vote voted
votes 		Verb 6 2.3 9.2 86.45 0.6 6 24,758,007 2.2
8. limit limit
limited
limits 		Verb 5 2.05 8.22 49.92 0.48 4 26,444,527 2.06
9. hold held Verb 6 1.06 5.99 2.01 0.48 4 26,213,461 2.07
10. should should Verb 10 0.63 6.96 0.49 0.61 7 10,852,286 5.01
11. see saw
see 		Verb 10 -1.14 6.2 0.96 0.52 5 18,084,427 3.01
12. may may Verb 5 -1.47 3.92 1.31 0.17 2 32,818,809 1.66
13. make made
make
makes
making 		Verb 8 -2.62 5.06 3.62 0.57 6 17,913,488 3.03
14. could could Verb 5 -3.03 3.41 3.94 0.56 5 16,008,516 3.4
15. would would Verb 11 -3.16 5.95 5.24 0.55 6 15,438,507 3.52
16. have had
has
have 		Verb 38 -9 9.2 36.74 0.74 21 6,049,142 8.99
17. do did
do
does 		Verb 7 -12.17 3.13 27.65 0.58 6 20,859,991 2.61
18. be are
be
been
being
is
was
were 		Verb 92 -21.87 11.33 218.48 0.7 23 4,508,543 12.06
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