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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. teesside Teesside Noun 46 6.72 17.85 5,048.31 0.37 10 10,825,542 5.02
2. oxford Oxford Noun 52 6.65 15.09 572.3 0.47 15 10,181,510 5.34
3. newcastle Newcastle Noun 32 5.43 14.66 748.96 0.55 11 9,704,594 5.6
4. london London Noun 48 4.58 12.73 62.37 0.7 20 3,633,014 14.96
5. leeds Leeds Noun 24 4.44 12.58 209.29 0.73 16 6,430,233 8.45
6. middlesex Middlesex Noun 20 4.41 14.85 1,441.45 0.68 14 7,089,058 7.67
7. bristol Bristol Noun 22 4.4 12.95 317.22 0.65 13 6,979,546 7.79
8. manchester Manchester Noun 23 4.3 12.33 180.62 0.73 16 7,318,324 7.43
9. brighton Brighton Noun 19 4.2 13.24 472.14 0.67 11 8,130,580 6.69
10. portsmouth Portsmouth Noun 18 4.15 13.79 749.61 0.7 12 8,037,196 6.76
11. thames Thames Noun 16 3.8 12.29 282.85 0.67 11 8,797,819 6.18
12. hatfield Hatfield Noun 14 3.71 14.52 1,646.86 0.59 8 18,023,084 3.02
13. huddersfield Huddersfield Noun 14 3.7 13.95 1,102.43 0.56 7 10,620,022 5.12
14. kingston Kingston Noun 14 3.69 13.86 1,032.89 0.58 9 12,401,704 4.38
15. wolverhampton Wolverhampton Noun 13 3.55 13.54 891.12 0.61 7 16,988,251 3.2
16. birmingham Birmingham Noun 15 3.45 11.02 110.39 0.72 13 9,867,405 5.51
17. glasgow Glasgow Noun 15 3.36 10.73 84.97 0.56 7 16,374,121 3.32
18. napier Napier Noun 11 3.28 13.36 934.58 0.38 4 23,670,920 2.3
19. trent Trent Noun 10 3 10.9 171.55 0.64 8 9,564,688 5.68
20. battersea Battersea Noun 9 2.96 12.62 679.88 0.36 3 31,760,511 1.71
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