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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 're
's
are
be
been
being
is
was
were 		Verb 513 -54.53 16.24 1,307.56 0.92 94 391,421 138.88
2. do did
do
does
doing 		Verb 33 -33.78 7.31 173.41 0.82 26 3,081,451 17.64
3. think think
thinking
thought 		Verb 5 -25.1 1.03 52.17 0.48 4 16,853,713 3.23
4. say said
say
says 		Verb 22 -24.05 6.3 96.91 0.74 16 8,508,513 6.39
5. can ca
can 		Verb 18 -22.04 5.71 80.13 0.73 15 6,080,128 8.94
6. will will
wo 		Verb 26 -16.56 7.31 65.97 0.8 23 3,762,204 14.45
7. have 'd
've
had
has
have
Having 		Verb 279 -15.72 15.29 142 0.89 80 651,217 83.47
8. would 'd
would 		Verb 36 -14.73 8.55 64.36 0.8 25 4,819,773 11.28
9. may may Verb 9 -12.99 3.93 31.97 0.64 8 14,561,149 3.73
10. make made
make
makes
making 		Verb 25 -12.84 7.45 47.01 0.77 18 4,952,278 10.98
11. come came
come
comes
coming 		Verb 15 -12.02 5.78 35.65 0.65 11 7,504,557 7.24
12. should should Verb 10 -11.52 4.43 28.86 0.61 8 20,075,502 2.71
13. must must Verb 5 -11.07 2.07 20.72 0.48 4 16,884,505 3.22
14. mean means
meant 		Verb 5 -10.08 2.18 18.55 0.56 5 14,739,128 3.69
15. could could Verb 23 -9.41 7.48 30.31 0.75 17 7,062,668 7.7
16. give gave
give
given
gives
giving 		Verb 17 -8.79 6.53 24.94 0.78 17 7,035,643 7.73
17. see saw
see
seeing
seen 		Verb 31 -8.57 8.56 29.39 0.8 25 3,270,339 16.62
18. seem seem
seemed 		Verb 7 -6.97 3.75 13.43 0.58 6 12,326,142 4.41
19. follow followed
following
follows 		Verb 5 -6.3 2.71 10.44 0.56 5 25,262,086 2.15
20. call call
called
calling 		Verb 7 -5.67 3.96 10.27 0.63 7 11,670,857 4.66
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