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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. state state
stated
states 		Verb 9 2.55 9.08 43.57 0.68 9 7,745,713 7.02
2. introduce introduce
introducing 		Verb 9 2.37 8.59 26.79 0.61 7 8,844,941 6.15
3. undermine undermine
undermining 		Verb 5 2.12 8.86 82.99 0.48 4 20,973,278 2.59
4. disappear disappear
disappeared 		Verb 5 1.92 7.48 26.35 0.56 5 28,742,620 1.89
5. develop develop
developed
developing 		Verb 7 1.48 6.8 5 0.63 7 12,426,590 4.37
6. remain remain
remained
remains 		Verb 7 1.34 6.64 3.67 0.53 5 27,850,112 1.95
7. base based Verb 5 1.1 5.62 2.38 0.48 4 30,645,705 1.77
8. lead lead
leading
leads
led 		Verb 7 1.01 6.31 1.66 0.63 7 18,145,009 3
9. create create
created 		Verb 5 0.96 5.46 1.64 0.48 4 17,257,414 3.15
10. believe believe
believed 		Verb 5 0.24 4.81 0.06 0.56 5 17,137,432 3.17
11. hold held
holding 		Verb 5 -0.5 4.35 0.21 0.48 4 14,859,415 3.66
12. mean mean
means
meant 		Verb 7 -0.6 5.32 0.29 0.49 5 13,313,254 4.08
13. call called
calls 		Verb 5 -0.83 4.19 0.5 0.56 5 13,901,790 3.91
14. might Might Verb 5 -1.27 3.99 1.03 0.56 5 32,609,529 1.67
15. seem seem
seemed
seems 		Verb 5 -1.31 3.98 1.09 0.56 5 14,557,323 3.73
16. would 'd
would 		Verb 27 -2.26 8.99 3.66 0.78 21 3,876,427 14.02
17. may may Verb 7 -3.01 4.52 4.27 0.45 4 18,173,862 2.99
18. could could Verb 10 -3.55 5.56 6.02 0.66 9 13,749,054 3.95
19. see saw
see
seen
sees 		Verb 12 -3.62 6.14 6.5 0.6 9 12,406,299 4.38
20. can can Verb 12 -6.57 5.64 15.22 0.66 9 20,054,492 2.71
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