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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 613 -54.86 16.83 1,402.68 0.86 84 574,375 94.64
2. have 've
had
has
have
having 		Verb 169 -33.98 12.95 356.42 0.85 55 1,301,780 41.76
3. do did
do
does
done 		Verb 45 -31.46 8.48 181.91 0.79 29 3,211,019 16.93
4. say said
say
saying
says 		Verb 20 -29.52 5.72 117.72 0.71 15 10,583,657 5.14
5. think think
thought 		Verb 6 -25.7 1.65 58.17 0.53 5 23,651,780 2.3
6. would 'd
would 		Verb 27 -21.8 7.13 93.74 0.8 23 5,973,216 9.1
7. go go
goes
going
gone
went 		Verb 20 -19.8 6.2 73.61 0.76 17 6,696,953 8.12
8. know knew
know
known 		Verb 15 -18.21 5.3 59.04 0.65 11 7,152,535 7.6
9. make made
make
makes
making 		Verb 22 -16.75 6.73 62.49 0.73 16 5,779,075 9.41
10. see saw
see
seen 		Verb 18 -16.69 6.04 57.33 0.66 13 5,947,150 9.14
11. should should Verb 8 -15.69 3.29 37.95 0.61 7 10,493,272 5.18
12. look look
looked
looks 		Verb 8 -15.66 3.29 37.86 0.61 7 11,827,242 4.6
13. could could Verb 16 -15.21 5.74 48.83 0.74 14 7,925,594 6.86
14. come came
come
comes
coming 		Verb 14 -14.81 5.3 44.79 0.75 14 10,644,476 5.11
15. can can Verb 37 -14.59 8.65 64.02 0.72 17 6,978,857 7.79
16. 'll 'll Verb 5 -12.62 1.91 24.12 0.34 3 49,783,664 1.09
17. will will
wo 		Verb 44 -12.14 9.42 53.24 0.8 27 3,356,714 16.19
18. mean mean
means 		Verb 5 -11.65 2.01 21.99 0.56 5 17,580,796 3.09
19. give gave
give
given
gives 		Verb 16 -11.01 6.09 32.67 0.63 10 9,459,440 5.75
20. get get
getting
got 		Verb 40 -9.84 9.29 38.57 0.76 22 4,429,608 12.27
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