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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
're
's
am
are
be
been
being
is
was
were 		Verb 453 -82.4 15.36 2,088.72 0.89 92 400,001 135.9
2. do did
do
does
done 		Verb 17 -65.4 4.1 265.23 0.78 17 5,782,266 9.4
3. know know
known
knows 		Verb 6 -36.64 1.17 85.39 0.6 6 13,681,916 3.97
4. would 'd
would 		Verb 16 -35.26 4.71 129.8 0.75 15 6,984,136 7.78
5. say said
say
saying
says 		Verb 21 -32.55 5.77 134.27 0.73 15 5,395,842 10.07
6. think think
thought 		Verb 5 -32.28 0.7 68.33 0.48 4 18,256,287 2.98
7. can can Verb 23 -24.55 6.43 100.7 0.71 15 5,603,499 9.7
8. look look
looks 		Verb 5 -23.94 1.09 49.41 0.56 5 17,104,888 3.18
9. go go
goes
going
gone
went 		Verb 21 -21.93 6.25 84.73 0.77 18 4,207,162 12.92
10. have 've
had
has
have
having 		Verb 305 -21.68 15.34 233.98 0.9 82 564,810 96.24
11. could could Verb 12 -21.37 4.33 64.56 0.73 12 6,937,836 7.84
12. take take
taken
takes
took 		Verb 14 -21.18 4.88 68.34 0.71 12 6,237,964 8.71
13. get get
getting
got 		Verb 22 -19.71 6.54 76.02 0.74 18 4,437,942 12.25
14. should should Verb 7 -19.51 2.55 45.89 0.58 6 20,989,846 2.59
15. come came
come
comes 		Verb 12 -18.97 4.47 56.25 0.7 11 9,380,705 5.79
16. will will
wo 		Verb 36 -17.24 8.39 78.4 0.64 15 6,544,952 8.31
17. make made
Make
makes
making 		Verb 26 -16.98 7.29 67.78 0.77 20 4,889,342 11.12
18. find find
found 		Verb 8 -15.36 3.31 37.01 0.66 8 22,793,311 2.38
19. may may Verb 11 -14.94 4.46 40.96 0.57 8 9,211,948 5.9
20. become became
become
becomes
becoming 		Verb 5 -13.64 1.82 26.36 0.56 5 18,206,745 2.99
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