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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's part of speech:
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. do did
do
does 		Verb 10 -223.9 0.48 730.66 0.7 10 6,784,619 8.01
2. be 's
are
be
been
being
is
was
were 		Verb 804 -166.6 16.52 6,054.85 0.85 89 493,161 110.23
3. have 've
had
has
have
having 		Verb 129 -139.44 10.29 1,634.77 0.83 59 1,241,565 43.78
4. can can Verb 17 -81.39 3.8 326.77 0.44 8 11,731,953 4.63
5. would would Verb 21 -81.26 4.56 361.52 0.71 14 10,396,567 5.23
6. could could Verb 7 -78.8 0.67 204.63 0.49 5 21,672,549 2.51
7. say said
Say
saying
says 		Verb 28 -75.27 5.69 382.42 0.73 16 8,557,823 6.35
8. use use
used 		Verb 5 -70.61 -0.38 154.76 0.48 4 23,085,803 2.35
9. see saw
see
seeing
seen
sees 		Verb 12 -68.41 2.79 229.3 0.73 12 7,012,241 7.75
10. take take
takes
taking
took 		Verb 21 -46.39 5.31 196.48 0.75 16 6,864,799 7.92
11. get get
gets
getting
got 		Verb 35 -42.54 7.22 225.12 0.74 20 8,063,187 6.74
12. come came
come
comes
coming 		Verb 20 -39.06 5.36 158.8 0.73 15 5,675,962 9.58
13. may may Verb 16 -33.93 4.75 122.69 0.71 12 7,286,357 7.46
14. go go
goes
going
gone
went 		Verb 64 -30.05 9.75 193.63 0.78 29 2,736,917 19.86
15. will will Verb 93 -26.57 11.17 192.3 0.78 36 3,973,796 13.68
16. mean mean
means
meant 		Verb 11 -22.94 3.93 66.92 0.68 10 10,315,639 5.27
17. should should Verb 29 -21.89 7.38 95.56 0.73 19 4,382,939 12.4
18. show show
shown 		Verb 10 -21.78 3.66 60.51 0.61 8 15,074,075 3.61
19. must must Verb 15 -20.42 5.16 66.95 0.49 8 13,483,790 4.03
20. bring bring
brings
brought 		Verb 7 -18.92 2.59 44.12 0.58 6 12,607,915 4.31
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