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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. allege allege
alleged
alleging 		Verb 15 3.82 13.9 990.7 0.06 2 52,112,239 1.04
2. avoid avoid
avoiding 		Verb 15 3.51 11.22 130.42 0.65 11 8,294,669 6.55
3. introduce introduce
introduced
introduces 		Verb 15 3.43 10.95 103.69 0.64 8 9,475,431 5.74
4. minimise minimise
minimised 		Verb 6 2.4 10.84 294.36 0.53 5 16,649,817 3.26
5. correct correct
correcting 		Verb 5 2.14 9.17 105.23 0.4 3 29,473,861 1.84
6. perceive perceived Verb 5 2.08 8.49 62.17 -0.01 1 54,334,764 1
7. detect detect
detected
detecting 		Verb 5 2.06 8.28 52.6 0.48 4 20,973,235 2.59
8. suspect suspected
suspecting 		Verb 5 2.03 8.08 44.55 -0.01 1 54,358,163 1
9. reflect reflect
reflected 		Verb 6 1.91 7.34 16.39 0.6 6 11,007,811 4.94
10. exist exist
exists 		Verb 5 1.64 6.54 9.99 0.4 3 40,988,171 1.33
11. affect affect
affected
affects 		Verb 5 1.56 6.37 8.02 0.56 5 15,439,502 3.52
12. cause cause
caused
causes 		Verb 6 1.46 6.48 5.27 0.48 4 16,755,415 3.24
13. show show
showing
shown
shows 		Verb 11 1.2 7.57 2.27 0.71 11 10,493,746 5.18
14. lead lead
leading
leads 		Verb 6 0.85 5.79 1.12 0.53 5 14,426,448 3.77
15. might might Verb 8 0.33 6.18 0.12 0.61 7 13,006,746 4.18
16. may may Verb 13 -0.14 7.35 0.02 0.72 12 6,552,656 8.3
17. become became
become
becomes 		Verb 5 -1.3 3.98 1.08 0.56 5 12,637,938 4.3
18. should should Verb 5 -3.61 3.26 5.03 0.48 4 36,119,995 1.5
19. give give
given
giving 		Verb 5 -4.47 3.06 6.72 0.56 5 15,391,890 3.53
20. can can Verb 13 -5.1 6.13 11 0.72 12 5,955,928 9.13
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