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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. information information Noun 374 18.45 21.53 7,391.38 0.77 60 1,508,334 36.04
2. detail details Noun 143 11.3 18.51 2,336.82 0.83 46 1,765,824 30.78
3. police police Noun 139 10.73 17.72 1,288.83 0.66 38 2,099,968 25.89
4. sema Sema Noun 73 8.54 22.81 100,962.18 -0.01 1 54,341,153 1
5. software Software Noun 76 8.23 16.66 1,219 0.02 3 23,234,337 2.34
6. department Department Noun 69 7.15 15.06 367.38 0.14 11 7,183,002 7.57
7. office office
offices 		Noun 50 5.22 13.22 104.15 0.74 28 3,785,580 14.36
8. mr Mr Noun 60 4.76 13.19 58.92 0.8 30 4,020,945 13.52
9. cid CID Noun 23 4.75 15.85 2,529.49 0.56 8 11,642,540 4.67
10. institute Institute Noun 26 4.61 12.77 219.19 0.22 5 20,788,586 2.61
11. chris Chris Noun 25 4.6 12.93 264.97 0.45 10 8,408,208 6.47
12. faculty Faculty Noun 20 4.31 13.4 503.2 0.04 2 28,317,683 1.92
13. solicitor solicitor
solicitors 		Noun 22 4.17 12.08 155.97 0.73 14 6,461,750 8.41
14. insurance Insurance Noun 23 4.13 11.9 123.01 0.5 11 6,903,913 7.87
15. edwards Edwards Noun 16 3.86 12.82 421.41 0.24 5 22,307,514 2.44
16. darlington Darlington Noun 19 3.78 11.42 108.52 -0.01 1 53,696,696 1.01
17. lens lenses Noun 15 3.74 12.67 403.73 0.55 9 9,136,333 5.95
18. mrs Mrs Noun 28 3.69 11.34 45.06 0.66 15 6,558,136 8.29
19. brayshay Brayshay Noun 13 3.6 18.13 22,041.88 0.07 2 54,206,841 1
20. foster Foster Noun 12 3.33 11.91 296.44 0.08 2 53,644,369 1.01
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