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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. right right Adjective 4 -21.07 0.47 38.66 0.39 3 19,382,619 2.8
2. good good Adjective 25 -15.74 7.24 60.26 0.78 20 5,792,862 9.38
3. likely likely Adjective 4 -13.06 1.09 22.73 0.51 4 18,765,083 2.9
4. certain certain Adjective 5 -10.69 2.11 19.83 0.56 5 19,211,083 2.83
5. big big Adjective 7 -9.94 3.37 20.84 0.63 7 18,877,440 2.88
6. old old Adjective 23 -9.82 7.44 31.85 0.81 22 4,689,498 11.59
7. other other Adjective 92 -8.77 12.11 40.71 0.89 58 1,318,117 41.24
8. able able Adjective 11 -8.69 5.06 20.96 0.68 10 8,622,454 6.3
9. clear clear Adjective 7 -8.68 3.52 17.67 0.58 6 20,481,717 2.65
10. true true Adjective 5 -8.35 2.4 14.77 0.56 5 25,640,984 2.12
11. possible possible Adjective 14 -8.32 5.93 21.57 0.69 12 8,165,819 6.66
12. hard hard Adjective 4 -8.25 1.64 13.32 0.51 4 23,259,574 2.34
13. necessary necessary Adjective 6 -7.34 3.17 13.51 0.6 6 10,077,153 5.39
14. higher higher Adjective 5 -7.06 2.59 12.02 0.48 4 19,962,846 2.72
15. only only Adjective 9 -7.02 4.6 14.8 0.64 8 10,911,231 4.98
16. labour Labour Adjective 4 -6.81 1.86 10.55 0.39 3 22,398,993 2.43
17. important important Adjective 21 -6.75 7.48 18.51 0.76 17 6,164,627 8.82
18. young young Adjective 15 -6.61 6.38 16.2 0.61 11 23,445,505 2.32
19. common common Adjective 7 -6.5 3.82 12.27 0.63 7 13,583,560 4
20. real Real Adjective 10 -6.25 5.07 13.18 0.66 9 10,938,401 4.97
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