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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. arise arise
arisen
arises
arising
arose
Verb 39 6.1 15.98 1,585.49 0.8 29 2,692,993 20.19
2. cause cause
caused
causes
Verb 25 4.61 12.96 271.71 0.78 21 4,206,790 12.92
3. occur occur
occurred
occurring
occurs
Verb 22 4.37 12.8 281.63 0.59 7 13,671,550 3.98
4. develop develop
developed
developing
develops
Verb 20 3.97 11.8 140.83 0.62 11 9,689,898 5.61
5. prevent prevent
preventing
Verb 8 2.47 8.99 48.54 0.54 6 12,623,932 4.31
6. avoid avoid
avoided
avoids
Verb 7 2.21 8.23 30.06 0.53 5 15,768,718 3.45
7. add add
added
adding
adds
Verb 9 2.14 8.14 15.89 0.68 9 10,473,497 5.19
8. introduce introduce
introduced
introduces
Verb 7 2.13 7.96 23 0.63 7 32,001,424 1.7
9. create create
created
Verb 7 1.86 7.37 11.76 0.63 7 9,592,676 5.67
10. may may Verb 19 1.86 9.3 6.09 0.7 13 6,216,565 8.74
11. relate relate
related
relating
Verb 5 1.67 6.62 10.89 0.56 5 23,484,105 2.31
12. follow follow
followed
following
follows
Verb 6 0.68 5.64 0.64 0.6 6 10,792,455 5.04
13. might might Verb 5 -0.32 4.45 0.09 0.56 5 12,384,630 4.39
14. need need
needed
Verb 5 -0.54 4.33 0.24 0.56 5 21,114,338 2.57
15. become became
become
becomes
becoming
Verb 5 -0.62 4.29 0.3 0.56 5 18,382,084 2.96
16. find find
found
Verb 6 -1.33 4.54 1.15 0.6 6 17,298,221 3.14
17. can can Verb 19 -1.45 8.08 1.61 0.74 15 6,945,012 7.83
18. could could Verb 7 -3.2 4.47 4.7 0.63 7 15,547,940 3.5
19. would would Verb 8 -7.16 4.18 14.86 0.66 8 15,693,320 3.46
20. will will Verb 6 -7.79 3.11 14.82 0.6 6 13,892,056 3.91
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