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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 456 -54.59 15.84 1,255.61 0.92 95 332,659 163.41
2. have 'd
've
had
has
have
having 		Verb 115 -36.13 11.56 333.21 0.84 59 1,106,320 49.14
3. do did
do
does
doing
done 		Verb 31 -32.27 7.14 160.19 0.81 26 3,338,654 16.28
4. would 'd
would 		Verb 14 -27.1 4.57 91.3 0.75 14 7,112,402 7.64
5. say said
say
says 		Verb 19 -24.33 5.78 92.35 0.74 16 6,682,057 8.14
6. go goes
going
gone
went 		Verb 14 -20.12 4.94 64.7 0.69 11 7,534,934 7.21
7. can ca
can 		Verb 20 -18.66 6.27 68.79 0.77 18 4,413,397 12.32
8. think think
thinking
thinks
thought 		Verb 8 -17.22 3.17 42.35 0.66 8 9,870,760 5.51
9. know knew
know
knowing
known 		Verb 14 -15.06 5.29 45.82 0.73 13 7,847,161 6.93
10. look look
looking
looks 		Verb 7 -13.61 3 30.43 0.63 7 15,829,807 3.43
11. see saw
see
seeing
seen
sees 		Verb 20 -11.86 6.78 39.12 0.77 18 4,124,965 13.18
12. should should Verb 9 -11.36 4.08 27.22 0.64 8 14,558,644 3.73
13. take take
taken
takes
taking
took 		Verb 19 -11.36 6.65 36.32 0.73 15 5,178,420 10.5
14. will will
wo 		Verb 38 -10.46 9.06 41.44 0.82 28 3,228,096 16.84
15. may may Verb 11 -10.1 4.9 25.47 0.71 11 7,760,134 7
16. find find
finding
found 		Verb 9 -9.6 4.27 22.14 0.68 9 9,298,027 5.85
17. come came
come
comes
coming 		Verb 18 -9.22 6.67 27.11 0.66 13 10,956,015 4.96
18. need need
needed
needs 		Verb 5 -9.12 2.3 16.47 0.48 4 20,850,001 2.61
19. could could Verb 22 -8.79 7.4 27.24 0.75 19 5,409,046 10.05
20. might might Verb 5 -8.2 2.42 14.48 0.56 5 29,363,516 1.85
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