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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:
Collocate's part of speech:
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. be 'm
's
am
are
be
been
being
is
was
were 		Verb 232 -23.33 14.38 322.04 0.84 65 960,673 56.58
2. do do
does 		Verb 9 -22.43 3.26 62.04 0.64 8 14,164,253 3.84
3. have 'd
've
had
has
have
having 		Verb 59 -16.01 10.14 92.66 0.82 36 2,540,600 21.4
4. get get
got 		Verb 6 -9.98 2.83 19.99 0.53 5 18,035,301 3.01
5. know knew
know
knows 		Verb 5 -9.16 2.29 16.71 0.56 5 14,114,056 3.85
6. make made
make
makes 		Verb 7 -8.68 3.52 17.91 0.63 7 19,603,589 2.77
7. say said
say
saying
says 		Verb 14 -8.36 5.92 22.19 0.69 11 9,333,960 5.82
8. think think
thinking
thinks
thought 		Verb 5 -6.95 2.61 11.9 0.48 4 19,162,546 2.84
9. would would Verb 17 -6.01 6.88 15.07 0.65 13 7,018,682 7.74
10. see saw
see 		Verb 9 -5.82 4.78 11.69 0.68 9 9,998,731 5.44
11. give give
giving 		Verb 5 -5.77 2.8 9.39 0.56 5 15,657,837 3.47
12. come came
come
comes
coming 		Verb 8 -4.48 4.63 7.87 0.61 7 10,429,931 5.21
13. take take
taken
takes
taking
took 		Verb 11 -4.17 5.75 7.8 0.68 10 8,201,700 6.63
14. can ca
can 		Verb 20 -3.9 7.74 8.32 0.72 16 6,279,275 8.66
15. find find
finding
found 		Verb 5 -3.89 3.19 5.56 0.56 5 16,111,641 3.37
16. tell tell
telling
told 		Verb 5 -2.45 3.58 2.88 0.56 5 18,643,941 2.92
17. work work
worked
working 		Verb 6 -1.16 4.61 0.92 0.6 6 32,217,215 1.69
18. may may Verb 14 -0.57 7.41 0.28 0.62 8 11,371,717 4.78
19. need need
needed
needing 		Verb 8 -0.42 5.8 0.16 0.61 7 15,432,819 3.52
20. must must Verb 9 -0.33 6.19 0.1 0.58 7 10,802,906 5.03
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