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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. require require
required
requires
requiring 		Verb 43 6.13 14.81 584.99 0.55 17 5,455,472 9.96
2. make made
make
making 		Verb 68 5.74 13.9 110.56 0.66 26 3,865,370 14.06
3. follow follow
followed
following
follows 		Verb 24 4 11.61 87.17 0.76 18 4,941,964 11
4. prevent prevent
prevented
preventing 		Verb 12 3.17 10.72 117.28 0.64 9 10,838,265 5.02
5. relate relate
relating 		Verb 12 3.09 10.38 88.2 0.31 5 24,718,849 2.2
6. order order
ordered
ordering 		Verb 9 2.76 9.99 95.47 0.47 5 13,451,355 4.04
7. permit permit
permits
permitted
permitting 		Verb 8 2.67 10.2 131.07 0.44 5 14,223,173 3.82
8. apply applies
apply 		Verb 9 2.37 8.59 26.8 0.45 4 16,825,072 3.23
9. limit limit
limited
limiting 		Verb 6 2.22 8.58 52.49 0.53 5 14,777,715 3.68
10. accounting accounting Verb 5 2.2 10.53 285.05 0.56 5 19,341,097 2.81
11. propose propose
proposed 		Verb 5 1.91 7.44 25.45 -0.01 1 53,951,862 1.01
12. should should Verb 19 1.89 9.32 6.4 0.54 6 15,022,506 3.62
13. seek seeking
sought 		Verb 5 1.51 6.26 6.94 0.4 3 18,380,771 2.96
14. might might Verb 8 0.77 6.46 0.82 0.51 5 14,321,265 3.8
15. may may Verb 13 0.53 7.63 0.33 0.35 5 13,241,598 4.11
16. would would Verb 21 -1.7 8.33 2.16 0.68 14 6,492,490 8.37
17. will will Verb 18 -1.78 7.83 2.28 0.7 13 6,411,017 8.48
18. come came
come
comes 		Verb 8 -2.21 5.17 2.77 0.54 6 28,416,148 1.91
19. use use
using 		Verb 5 -3.09 3.39 4.06 0.48 4 18,984,123 2.86
20. could could Verb 5 -4.82 2.99 7.45 0.48 4 26,462,791 2.05
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