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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. will will Verb 40 3.55 11.83 29.22 0.69 18 5,780,916 9.4
2. transfer TRANSFER Verb 7 2.5 9.81 114.48 0.38 4 19,906,214 2.73
3. depend depend
depends 		Verb 6 2.17 8.32 41.95 0.25 2 51,998,847 1.05
4. start start
starting
starts 		Verb 9 2.09 8.07 14.6 0.19 2 51,517,385 1.06
5. base based
Basing 		Verb 6 1.92 7.38 17.06 0.53 5 23,727,423 2.29
6. introduce introduce
introducing 		Verb 5 1.8 7.02 16.89 0.34 3 26,955,896 2.02
7. develop develop
developed 		Verb 5 1.53 6.31 7.48 0.17 2 45,903,289 1.18
8. provide provide
provided
provides
providing 		Verb 6 1.06 5.99 2 0.6 6 17,590,875 3.09
9. mean mean
means 		Verb 5 0.28 4.83 0.09 0.48 4 20,728,084 2.62
10. may may Verb 7 -0.24 5.49 0.05 0.58 6 16,651,280 3.26
11. should should Verb 5 -1.07 4.08 0.78 0.56 5 17,423,263 3.12
12. could could Verb 5 -2.61 3.53 3.19 0.56 5 13,944,593 3.9
13. would would Verb 10 -3.1 5.66 4.97 0.58 7 20,431,606 2.66
14. make made
make
makes 		Verb 6 -3.35 3.93 4.81 0.48 4 15,596,924 3.49
15. can can Verb 8 -3.45 4.85 5.47 0.57 6 14,287,562 3.8
16. have had
has
have
having 		Verb 39 -7.56 9.43 28.81 0.69 23 4,154,054 13.09
17. be 's
are
be
been
being
is
was
were 		Verb 124 -13.85 12.74 128.04 0.78 39 2,197,533 24.74
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