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