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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
's
are
be
been
being
is
was
were 		Verb 870 -96.14 17.44 3,253.36 0.92 94 332,778 163.35
2. know knew
know
knowing
known 		Verb 8 -54.01 1.67 147.43 0.57 6 16,734,582 3.25
3. do did
do
does
doing
done 		Verb 64 -52.17 9.09 378.53 0.8 36 2,318,532 23.45
4. say said
say
saying
says 		Verb 30 -46.7 6.56 235.15 0.77 20 6,620,814 8.21
5. have 've
had
has
have
having 		Verb 379 -39.51 15.53 574.95 0.93 95 409,089 132.88
6. can ca
can 		Verb 29 -38.51 6.69 186.04 0.81 24 4,773,312 11.39
7. will will
wo 		Verb 43 -29.15 8.41 159.51 0.79 26 4,720,032 11.52
8. think think
thinks
thought 		Verb 16 -28.4 4.98 100.84 0.69 12 6,636,798 8.19
9. would 'd
would 		Verb 60 -26.3 9.68 161.32 0.85 40 1,963,011 27.69
10. 'll 'll Verb 5 -25.69 1 53.2 0.48 4 26,882,378 2.02
11. see saw
see
seeing 		Verb 31 -24.41 7.48 112.45 0.81 25 3,832,146 14.19
12. mean mean
means
meant 		Verb 5 -23.87 1.1 49.11 0.56 5 14,578,656 3.73
13. find find
finding
finds
found 		Verb 11 -22.74 3.95 66.39 0.71 11 7,712,407 7.05
14. should should Verb 14 -22.57 4.8 73.15 0.63 9 8,411,267 6.46
15. tell tell
telling
told 		Verb 7 -22.34 2.38 53.21 0.63 7 14,069,080 3.86
16. might might Verb 5 -21.61 1.23 44.05 0.56 5 14,254,720 3.81
17. ask asked
asking
asks 		Verb 5 -21.06 1.26 42.82 0.56 5 19,791,288 2.75
18. could could Verb 31 -20.38 7.69 90.36 0.8 24 4,382,445 12.4
19. may may Verb 18 -19.73 5.84 69.59 0.76 16 6,493,687 8.37
20. take take
taken
takes
taking
took 		Verb 37 -19.66 8.34 92.71 0.83 30 3,065,154 17.73
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