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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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Part of speech:
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. be 're
's
am
are
be
been
being
is
was
were 		Verb 261 -37.4 14.33 632.14 0.87 73 870,180 62.47
2. have 'd
've
had
has
have
having 		Verb 55 -28.73 9.28 188.83 0.83 36 2,072,922 26.22
3. say said
say
saying
says 		Verb 9 -19.24 3.45 51.26 0.64 8 9,846,883 5.52
4. would would Verb 8 -18.94 3.06 47.75 0.57 6 15,793,808 3.44
5. do did
Do
does
doing
done 		Verb 27 -16.43 7.45 67.81 0.72 19 3,857,093 14.09
6. will will Verb 12 -12.32 4.98 34.02 0.58 8 13,330,694 4.08
7. could could Verb 8 -9.1 3.92 19.89 0.51 5 16,190,972 3.36
8. make made
make
Makes
making 		Verb 15 -7.53 6.26 19.58 0.69 12 10,229,152 5.31
9. may may Verb 6 -7.25 3.19 13.39 0.53 5 15,067,762 3.61
10. look Look
looking 		Verb 7 -6.03 3.9 11.18 0.63 7 13,292,516 4.09
11. find find
found 		Verb 6 -5.79 3.42 10.04 0.6 6 10,756,915 5.05
12. can can Verb 26 -5.72 8.32 15.77 0.74 17 8,479,240 6.41
13. need needed
needs 		Verb 5 -3.82 3.21 5.42 0.56 5 14,365,147 3.78
14. give gave
give
given
gives
giving 		Verb 16 -2.59 7.28 4.11 0.71 13 7,054,096 7.71
15. should should Verb 14 -2.4 6.9 3.54 0.56 7 19,998,388 2.72
16. follow follow
followed
Following
follows 		Verb 6 -1.41 4.52 1.26 0.6 6 19,944,670 2.73
17. include include
included
includes 		Verb 6 -0.56 4.87 0.26 0.53 5 17,966,951 3.03
18. read read
reading 		Verb 6 0.15 5.26 0.02 0.53 5 15,456,711 3.52
19. help help
helping
helps 		Verb 9 0.16 6.42 0.03 0.68 9 7,954,914 6.83
20. base based Verb 5 0.43 4.95 0.23 0.56 5 21,066,401 2.58
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