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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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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. elect elect
elected
Verb 11 3.1 10.88 150.36 0.61 8 13,872,797 3.92
2. represent represent
represented
representing
represents
Verb 9 2.29 8.42 22.24 0.58 7 11,743,939 4.63
3. identify identified
identify
identifying
Verb 5 1.43 6.11 5.61 0.48 4 19,912,263 2.73
4. hold held
hold
Verb 10 1.14 7.29 2.05 0.35 4 27,078,606 2.01
5. form form
formed
Verb 5 1.12 5.65 2.52 0.56 5 19,451,021 2.79
6. write write
writing
written
wrote
Verb 5 -0.16 4.55 0.02 0.34 3 21,554,141 2.52
7. help help
helping
Verb 5 -0.26 4.48 0.06 0.48 4 20,789,765 2.61
8. work work
worked
working
works
Verb 7 -0.58 5.33 0.28 0.63 7 12,731,245 4.27
9. tell tell Verb 7 -1.18 5.08 0.97 0.26 3 21,728,426 2.5
10. ask ask
asked
Verb 5 -1.33 3.97 1.12 0.56 5 21,522,598 2.53
11. must must Verb 6 -1.5 4.48 1.4 0.29 3 26,401,505 2.06
12. should should Verb 9 -2.03 5.59 2.48 0.5 6 18,262,713 2.98
13. may may Verb 9 -2.19 5.55 2.81 0.64 8 10,908,914 4.98
14. will will Verb 22 -2.96 8.21 5.48 0.61 12 13,511,836 4.02
15. want want Verb 5 -3.17 3.37 4.19 0.48 4 36,989,560 1.47
16. see saw
see
Verb 11 -4.39 5.7 8.43 0.61 8 15,831,294 3.43
17. would would Verb 19 -4.91 7.41 11.61 0.7 14 8,592,624 6.33
18. give gave
give
giving
Verb 5 -5.5 2.85 8.83 0.56 5 13,976,886 3.89
19. can can Verb 14 -5.94 6.24 13.92 0.62 9 10,589,481 5.13
20. take take
taken
took
Verb 6 -7.34 3.17 13.68 0.53 5 18,875,597 2.88
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