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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
's
are
be
been
being
is
was
were 		Verb 335 -64.74 14.59 1,384.3 0.9 84 588,276 92.4
2. have 've
had
has
have
having 		Verb 114 -33.43 11.62 301.71 0.89 58 1,341,348 40.53
3. do did
Do
does 		Verb 27 -32.8 6.64 153.82 0.76 21 3,949,012 13.77
4. can can Verb 17 -19.39 5.66 67.39 0.66 10 9,793,636 5.55
5. would would Verb 22 -18.37 6.62 70.33 0.68 13 7,397,089 7.35
6. see saw
see
seen 		Verb 11 -17.33 4.28 48.98 0.68 10 8,743,247 6.22
7. come came
come
comes 		Verb 8 -16.1 3.26 39.2 0.66 8 13,826,241 3.93
8. take take
taken
takes
took 		Verb 11 -16.05 4.37 44.75 0.68 10 7,536,864 7.21
9. could could Verb 10 -15.57 4.08 41.49 0.7 10 8,732,381 6.23
10. think think
thinks
thought 		Verb 10 -13.65 4.23 35.47 0.7 10 8,928,137 6.09
11. make made
make
makes
Making 		Verb 20 -12.87 6.69 43.46 0.74 15 5,634,756 9.65
12. know knew
know
knows 		Verb 16 -12.49 5.96 38.4 0.77 16 6,058,376 8.97
13. want want
wanting 		Verb 5 -12.25 1.95 23.33 0.34 3 26,013,555 2.09
14. give gave
give
given
gives
giving 		Verb 10 -11.48 4.43 28.77 0.66 9 8,511,304 6.39
15. may may Verb 10 -10.03 4.58 24.35 0.61 8 11,680,740 4.65
16. will will
wo 		Verb 42 -8.34 9.59 31.06 0.7 20 4,869,999 11.16
17. find find
finding
finds
found 		Verb 10 -8.05 4.82 18.41 0.66 9 12,537,297 4.34
18. say said
say
saying
says 		Verb 57 -7.98 10.63 31.76 0.84 37 2,069,959 26.26
19. should should Verb 13 -7.59 5.77 18.74 0.64 9 15,417,515 3.53
20. feel feel
felt 		Verb 5 -7.31 2.55 12.58 0.56 5 26,619,572 2.04
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