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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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excelSpreadsheet
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MI3
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. issue issue
issued
issues
Verb 19 4.23 13.6 615.9 0.67 12 9,922,709 5.48
2. receive receive
receives
receiving
Verb 16 3.57 11.22 118.6 0.69 12 7,250,388 7.5
3. get get
getting
got
Verb 30 2.72 10.8 14.96 0.71 15 8,949,455 6.07
4. offer offer
offered
offering
offers
Verb 10 2.52 8.95 31.56 0.56 6 15,777,922 3.45
5. spend spend
spending
Verb 9 2.5 8.94 38.09 0.61 7 11,377,390 4.78
6. entitle entitle
entitles
entitling
Verb 6 2.37 10.17 180.81 0.6 6 9,628,062 5.65
7. exchange exchange Verb 5 2.18 9.85 174.68 0.56 5 14,200,104 3.83
8. give gave
give
given
giving
Verb 18 2.15 9.36 9.49 0.67 12 8,140,092 6.68
9. buy bought
buy
Verb 6 1.73 6.93 10.12 0.53 5 17,858,253 3.04
10. win win
wins
Verb 5 1.5 6.24 6.78 0.56 5 33,354,755 1.63
11. provide provide
provided
providing
Verb 7 1.3 6.59 3.34 0.58 6 12,971,332 4.19
12. help help Verb 6 1.28 6.23 3.43 0.53 5 12,634,499 4.3
13. use use
used
Using
Verb 11 0.73 7.28 0.69 0.55 7 18,291,282 2.97
14. will will Verb 20 0.36 8.76 0.14 0.76 18 5,003,237 10.86
15. may may Verb 9 0.34 6.51 0.13 0.61 7 12,430,726 4.37
16. can can Verb 19 0.1 8.53 0.01 0.72 14 6,807,678 7.99
17. should should Verb 6 -0.71 4.8 0.39 0.43 4 38,446,335 1.41
18. could could Verb 8 -1.18 5.5 1 0.51 5 13,290,335 4.09
19. would would Verb 11 -2.93 6.01 4.67 0.68 10 9,864,540 5.51
20. do did
do
doing
Verb 5 -14.68 1.72 29.77 0.48 4 26,712,353 2.03
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