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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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MI3
CHISQ
JD
R
AWT
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. shall shall Verb 60 7.47 16.63 1,579.84 -0.01 1 54,196,758 1
2. may may Verb 72 7.06 14.91 299.72 0.02 3 35,835,657 1.52
3. notify notifies
notify 		Verb 7 2.61 11.7 461.87 0.13 2 31,174,769 1.74
4. decide decides Verb 10 2.36 8.61 21.77 -0.01 1 54,237,256 1
5. cease ceasing Verb 6 2.32 9.42 102.31 -0.01 1 54,239,361 1
6. enable enabled
enables 		Verb 6 2.01 7.65 22.64 -0.01 1 54,211,889 1
7. sign signed Verb 5 1.81 7.03 17.18 0.34 3 26,580,122 2.05
8. deal deal
dealing 		Verb 5 1.47 6.18 6.26 0.48 4 20,770,787 2.62
9. must must Verb 7 -0.19 5.52 0.03 0.13 2 27,118,194 2
10. should should Verb 7 -1.78 4.87 1.91 0.58 6 21,453,127 2.53
11. give give
gives 		Verb 7 -2.43 4.68 3.1 0.13 2 31,171,107 1.74
12. make made
makes
making 		Verb 5 -7.81 2.48 13.82 0.48 4 16,326,197 3.33
13. will will Verb 7 -7.87 3.62 15.92 0.38 4 19,092,120 2.85
14. can can Verb 5 -10.33 2.15 19.39 0.48 4 16,789,687 3.24
15. would would Verb 6 -10.35 2.78 20.99 0.53 5 17,522,027 3.1
16. have had
has
have
having 		Verb 27 -21.06 7.17 97.89 0.53 14 5,935,487 9.16
17. be are
be
being
is
was
were 		Verb 91 -36.63 10.74 415.28 0.53 28 3,138,695 17.32
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