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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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MI3
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. be are
be
been
being
is
was
were 		Verb 135 -30.06 12.31 377.39 0.87 58 1,293,465 42.03
2. do did
does
done 		Verb 5 -25.9 0.99 55.71 0.48 4 18,987,391 2.86
3. say said
say 		Verb 6 -12.8 2.53 27 0.53 5 19,920,127 2.73
4. would would Verb 6 -11.62 2.65 24.08 0.6 6 24,629,899 2.21
5. have had
has
have
having 		Verb 61 -11.4 10.56 58.92 0.81 34 2,355,378 23.08
6. make made
make
makes 		Verb 7 -6.69 3.8 12.91 0.63 7 14,676,681 3.7
7. could could Verb 5 -6.21 2.73 10.34 0.56 5 18,143,704 3
8. can ca
can 		Verb 11 -6 5.43 13.09 0.66 9 10,713,514 5.07
9. take take
taken
takes
took 		Verb 6 -5.9 3.4 10.37 0.6 6 18,480,632 2.94
10. will will Verb 14 -4.44 6.49 9.2 0.71 12 8,749,536 6.21
11. should should Verb 8 -1.72 5.31 1.86 0.61 7 12,733,754 4.27
12. provide provide
provided
providing 		Verb 6 0.03 5.19 0 0.6 6 10,858,454 5.01
13. bring bring
brings
brought 		Verb 6 0.41 5.43 0.2 0.53 5 15,715,638 3.46
14. base based Verb 5 1.23 5.79 3.33 0.48 4 22,731,620 2.39
15. increase increase
increased 		Verb 5 1.23 5.8 3.39 0.56 5 19,808,277 2.74
16. affect affect
affected
affecting 		Verb 5 1.57 6.39 8.25 0.56 5 22,259,383 2.44
17. encourage encourage Verb 5 1.66 6.6 10.67 0.48 4 28,229,995 1.93
18. develop develop
developed
develops 		Verb 8 1.86 7.55 10.14 0.61 7 24,840,583 2.19
19. promote promote
promoted
promoting 		Verb 12 3.24 11.14 164.48 0.6 8 14,174,833 3.83
20. boost boost
boosted
boosting 		Verb 13 3.55 13.39 801.28 0.66 10 15,682,777 3.47
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