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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. thank Thank Verb 15 3.31 10.6 75.65 0.48 4 50,990,469 1.07
2. call call
called
calling
calls 		Verb 21 2.63 10.02 16.3 0.73 16 5,435,846 10
3. worry worry Verb 7 2.27 8.42 35.82 0.63 7 14,242,118 3.82
4. come Come
comes
Coming 		Verb 35 1.68 10.74 4.01 0.61 14 11,079,951 4.91
5. mind mind Verb 5 1.68 6.64 11.22 0.56 5 16,396,895 3.32
6. say said
say
saying
says 		Verb 62 0.91 12.09 0.96 0.79 29 4,400,922 12.35
7. look look
looked
looks 		Verb 14 -1.3 7.19 1.26 0.69 11 8,673,187 6.27
8. want want
wants 		Verb 10 -1.63 6.04 1.76 0.49 5 44,021,934 1.23
9. become became
become
becomes 		Verb 5 -2.88 3.45 3.64 0.48 4 33,328,104 1.63
10. go go
goes
going
gone
went 		Verb 18 -4.98 7.22 11.64 0.56 10 11,801,205 4.61
11. know knew
know 		Verb 12 -5.44 5.81 11.68 0.62 8 26,167,864 2.08
12. do did
do
does
doing
done 		Verb 50 -5.99 10.4 20.3 0.77 30 3,204,442 16.96
13. think think
thought 		Verb 6 -7.7 3.12 14.48 0.53 5 15,894,160 3.42
14. can ca
can 		Verb 13 -8.97 5.6 23.58 0.74 13 9,861,743 5.51
15. get get
got 		Verb 6 -12.6 2.55 26.3 0.43 4 30,222,199 1.8
16. would 'd
would 		Verb 10 -12.84 4.3 33.37 0.7 10 11,725,798 4.64
17. will will
wo 		Verb 5 -17.85 1.48 36.24 0.48 4 18,590,248 2.92
18. have 'd
've
had
has
have 		Verb 26 -38.1 6.32 191.06 0.72 17 6,201,235 8.77
19. be 'm
're
's
am
are
be
been
is
was
were 		Verb 147 -46.52 12.13 670.22 0.81 55 1,443,306 37.66
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