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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 am
are
be
been
being
is
was
were 		Verb 168 -32.15 12.99 444.84 0.84 55 1,605,683 33.85
2. do did
do 		Verb 11 -19.58 4.13 58.05 0.68 10 13,815,326 3.93
3. will will Verb 10 -8.52 4.76 20.07 0.64 8 11,342,613 4.79
4. can ca
can 		Verb 11 -7.93 5.16 18.94 0.68 10 15,493,179 3.51
5. make made
make
makes
making 		Verb 8 -7.72 4.1 16.25 0.66 8 13,064,644 4.16
6. take take
taken
took 		Verb 6 -7.64 3.13 14.37 0.6 6 23,579,493 2.31
7. come came
come
coming 		Verb 5 -6.97 2.6 11.95 0.56 5 23,623,322 2.3
8. would would Verb 16 -6.4 6.62 16.14 0.62 11 7,864,114 6.91
9. see see
seen 		Verb 9 -5.78 4.79 11.59 0.61 7 19,038,238 2.86
10. give gave
give
given
giving 		Verb 5 -5.73 2.81 9.31 0.48 4 21,477,251 2.53
11. think think
thought 		Verb 8 -4.4 4.65 7.67 0.51 5 16,427,167 3.31
12. could could Verb 10 -4.04 5.46 7.27 0.66 9 10,126,451 5.37
13. find find
found 		Verb 7 -2.51 4.65 3.25 0.63 7 10,677,362 5.09
14. have had
has
have
having 		Verb 152 -2.36 14.24 5.23 0.85 60 1,615,092 33.66
15. may may Verb 9 -2.35 5.51 3.12 0.68 9 17,870,498 3.04
16. hold held
hold
holds 		Verb 5 -0.71 4.25 0.38 0.34 3 20,353,435 2.67
17. might might Verb 7 -0.53 5.35 0.24 0.63 7 11,854,181 4.59
18. become became
become
becomes
becoming 		Verb 12 0.75 7.52 0.72 0.68 10 10,450,007 5.2
19. lead leading
leads
led 		Verb 7 0.89 6.21 1.2 0.63 7 12,188,531 4.46
20. accept accept
accepted 		Verb 5 0.98 5.47 1.7 0.56 5 23,451,781 2.32
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