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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. be 'm
're
's
are
be
been
being
is
was
were 		Verb 384 -48.59 15.37 1,016.71 0.75 76 788,258 68.96
2. do did
do
does
doing 		Verb 16 -39.39 4.56 149.54 0.62 11 9,402,212 5.78
3. have 'd
've
had
has
have 		Verb 113 -28.32 11.77 244.04 0.85 57 1,233,224 44.08
4. see see Verb 6 -22.12 1.84 49.54 0.53 5 17,436,311 3.12
5. would would Verb 14 -21.67 4.85 70.84 0.71 12 8,256,983 6.58
6. go go
going
gone
went 		Verb 10 -20.1 3.76 55.97 0.61 8 14,614,759 3.72
7. take taking
took 		Verb 7 -18.69 2.6 43.96 0.53 5 29,169,833 1.86
8. get get
getting
got 		Verb 15 -14.02 5.61 43.3 0.66 11 7,723,631 7.04
9. give give
given
gives 		Verb 7 -12.74 3.07 28.2 0.63 7 12,017,846 4.52
10. will will
wo 		Verb 27 -11.05 7.87 39.91 0.65 13 6,098,551 8.91
11. could could Verb 14 -10.18 5.72 28.22 0.65 11 6,881,773 7.9
12. can can Verb 34 -8.79 8.85 31.47 0.66 15 6,166,461 8.82
13. make made
make
makes
making 		Verb 26 -8.27 8.01 26.55 0.68 16 4,676,111 11.62
14. find find
found 		Verb 8 -8.19 4.04 17.35 0.44 5 15,296,466 3.55
15. should Should Verb 12 -6.78 5.61 15.7 0.64 9 12,540,053 4.33
16. may may Verb 13 -6.57 5.9 15.43 0.61 9 11,177,682 4.86
17. leave leaving
left 		Verb 5 -6.56 2.67 11 0.48 4 28,783,657 1.89
18. might might Verb 6 -5.4 3.49 9.15 0.6 6 12,577,506 4.32
19. provide provide
provides
providing 		Verb 6 -4.22 3.73 6.57 0.53 5 24,626,782 2.21
20. bring bring
bringing
brings
brought 		Verb 5 -3.93 3.18 5.62 0.56 5 31,820,243 1.71
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