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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. have had
has
have
having 		Verb 212 2.7 15.75 9.97 0.91 77 708,244 76.75
2. examine examine
examines
examining 		Verb 9 2.58 9.18 47.7 0.5 6 18,939,438 2.87
3. explore explore
explores
exploring 		Verb 7 2.4 9.05 62.56 0.49 5 21,896,205 2.48
4. determine determine
determines
determining 		Verb 8 2.27 8.33 25.79 0.54 5 15,697,565 3.46
5. achieve achieve
achieved
achieves
achieving 		Verb 9 2.24 8.33 20.04 -0.01 1 54,351,645 1
6. assess assess
assessing 		Verb 6 2.1 7.97 30.79 0.6 6 19,681,410 2.76
7. demonstrate demonstrate
demonstrated
demonstrates 		Verb 5 1.83 7.11 18.46 0.56 5 18,734,288 2.9
8. establish establish
establishing 		Verb 7 1.77 7.2 9.39 0.58 6 13,637,403 3.99
9. ensure ensure
ensures 		Verb 6 1.67 6.82 8.81 0.6 6 16,778,163 3.24
10. understand understand
understanding
understood 		Verb 7 1.5 6.82 5.19 0.63 7 15,392,146 3.53
11. consider consider
considering 		Verb 8 1.46 7.05 4.44 0.66 8 20,110,668 2.7
12. lose lose
lost 		Verb 6 0.97 5.9 1.56 0.6 6 12,591,295 4.32
13. see saw
see
seeing 		Verb 22 -0.66 8.73 0.39 0.77 18 4,456,151 12.2
14. may may Verb 11 -1.3 6.44 1.22 0.61 8 10,622,217 5.12
15. make make
makes
making 		Verb 7 -8.1 3.59 16.44 0.53 5 15,755,872 3.45
16. can can Verb 8 -9.74 3.85 21.82 0.51 5 17,601,111 3.09
17. will will Verb 6 -11.93 2.62 24.76 0.53 5 14,203,454 3.83
18. would would Verb 5 -15.5 1.66 31.03 0.48 4 22,941,218 2.37
19. do do
does 		Verb 5 -30.14 0.79 65.59 0.56 5 20,593,033 2.64
20. be 's
are
be
been
being
is
was
were 		Verb 146 -34.05 12.45 454.9 0.87 63 1,180,247 46.06
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