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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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Part of speech:
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excelSpreadsheet
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TTEST
MI3
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. cause caused
causes
causing
Verb 31 5.19 13.8 400.88 0.54 10 8,866,893 6.13
2. prove prove
proved
proving
Verb 16 3.63 11.44 143.02 0.62 11 7,182,675 7.57
3. sue sue
sued
suing
Verb 13 3.56 13.72 1,013.53 0.64 9 9,211,285 5.9
4. allege allege
alleged
alleging
Verb 10 3.1 12.36 507.06 0.66 9 15,312,608 3.55
5. amount amount
amounted
Verb 10 3.08 11.83 343.24 0.46 6 14,324,073 3.79
6. deny denied
deny
Verb 10 2.92 10.35 111.71 0.52 6 22,764,174 2.39
7. base based Verb 9 2.34 8.53 25.01 0.55 6 11,903,744 4.57
8. result result
resulting
results
Verb 7 2.3 8.57 41.2 0.58 6 13,582,542 4
9. arise arise
arises
arising
arose
Verb 7 2.28 8.46 37.17 0.49 5 15,098,036 3.6
10. accuse accused Verb 6 2.25 8.8 63.04 0.6 6 17,590,469 3.09
11. establish establish
established
Verb 7 1.98 7.6 15.5 0.45 4 26,026,258 2.09
12. claim claiming
claims
Verb 7 1.92 7.48 13.47 0.58 6 14,429,408 3.77
13. cover cover
covered
covering
Verb 6 1.67 6.83 8.83 0.29 3 27,673,632 1.96
14. 's 's Verb 5 0.43 4.96 0.24 0.34 3 19,533,816 2.78
15. bring bringing
brought
Verb 5 0.28 4.84 0.09 0.48 4 23,504,068 2.31
16. must must Verb 7 -0.08 5.57 0.01 0.49 5 13,121,408 4.14
17. may may Verb 7 -1.75 4.88 1.86 0.58 6 16,045,990 3.39
18. should should Verb 5 -2.8 3.47 3.5 0.48 4 18,466,305 2.94
19. could could Verb 6 -4.29 3.71 6.78 0.29 3 25,727,091 2.11
20. see see Verb 7 -4.56 4.17 7.76 0.49 5 33,587,131 1.62
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