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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. typically typically Adverb 6 -16.64 2.21 36.44 0.6 6 13,571,508 4.01
2. mostly mostly Adverb 5 -35.83 0.55 77.55 0.56 5 19,748,336 2.75
3. mainly mainly Adverb 9 -48.95 2.23 142.96 0.64 8 14,663,534 3.71
4. especially especially Adverb 6 -155.15 -0.84 392.41 0.6 6 14,166,847 3.84
5. particularly particularly Adverb 7 -179.55 -0.49 494.16 0.63 7 12,293,532 4.42
6. both both Adverb 12 -235.32 1.06 867.95 0.68 10 10,554,785 5.15
7. when when Adverb 13 -254.57 1.24 984.78 0.72 12 9,438,197 5.76
8. as as Adverb 9 -403.58 -0.74 1,334.16 0.68 9 18,226,258 2.98
9. most most Adverb 9 -408.7 -0.76 1,352.7 0.68 9 13,159,324 4.13
10. why why Adverb 6 -439.05 -2.32 1,175.89 0.53 5 19,469,620 2.79
11. where where Adverb 7 -509.69 -1.98 1,503.61 0.58 6 12,384,230 4.39
12. even even Adverb 7 -577.29 -2.16 1,725.89 0.58 6 18,032,116 3.01
13. more more Adverb 18 -649.5 1.07 3,410.54 0.67 12 7,896,039 6.88
14. how how Adverb 5 -972.9 -4.12 2,583.45 0.56 5 19,424,924 2.8
15. very very Adverb 6 -1,025.64 -3.54 3,060.84 0.6 6 18,462,135 2.94
16. up up Adverb 6 -1,564.71 -4.15 5,203 0.53 5 20,220,977 2.69
17. so So Adverb 5 -1,818 -5.03 5,632.25 0.48 4 34,612,993 1.57
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