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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 're
's
are
be
been
being
is
was
were 		Verb 386 -138.06 14.18 3,559.52 0.85 89 473,351 114.84
2. have had
has
have
having 		Verb 91 -91.1 9.62 877.61 0.84 48 1,992,936 27.28
3. do did
do
does
done 		Verb 18 -90.62 3.86 384.14 0.73 15 5,205,680 10.44
4. can ca
can 		Verb 8 -67.05 1.37 186.04 0.61 7 20,930,961 2.6
5. would would Verb 14 -55.19 3.64 198.22 0.73 13 8,215,093 6.62
6. say said
say
saying
says 		Verb 18 -52.08 4.61 209.83 0.74 15 6,965,928 7.8
7. think think
thought 		Verb 5 -46.23 0.21 99.83 0.56 5 16,251,694 3.34
8. go go
going
gone
went 		Verb 13 -43.71 3.69 148.42 0.74 13 10,005,100 5.43
9. could could Verb 8 -39.87 2.08 106.78 0.66 8 18,287,207 2.97
10. make made
make
makes 		Verb 19 -31.91 5.44 124.58 0.72 14 8,984,861 6.05
11. should should Verb 6 -31.16 1.39 71.44 0.53 5 21,246,004 2.56
12. will will
wo 		Verb 29 -30.97 6.96 145.21 0.8 23 5,353,378 10.15
13. find find
found 		Verb 5 -30.08 0.79 63.13 0.56 5 16,949,657 3.21
14. take take
taken
taking
took 		Verb 15 -29.93 4.69 104.18 0.74 14 7,847,671 6.93
15. may may Verb 9 -25.35 3.1 68.67 0.64 8 8,490,224 6.4
16. give gave
give
given 		Verb 11 -25.14 3.82 74.48 0.64 9 11,799,489 4.61
17. tell tell
told 		Verb 5 -22.48 1.18 46.03 0.48 4 19,412,921 2.8
18. come came
Come
comes
coming 		Verb 18 -21.48 5.74 77.05 0.78 18 5,159,233 10.54
19. might might Verb 5 -17.71 1.49 35.35 0.56 5 18,765,497 2.9
20. become became
becoming 		Verb 7 -16.2 2.78 37.06 0.63 7 13,213,251 4.11
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