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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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Part of speech:
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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 539 -40.05 16.7 881.98 0.9 91 459,737 118.24
2. do Did
do
doing 		Verb 23 -34.99 5.99 154.27 0.78 20 4,261,716 12.76
3. know knew
know
known 		Verb 5 -26.26 0.97 54.93 0.56 5 14,926,779 3.64
4. have 'd
've
had
has
have
having 		Verb 159 -23.48 13.11 214.83 0.87 59 1,362,613 39.89
5. say said
say
says 		Verb 23 -18.82 6.75 73.85 0.73 15 7,058,211 7.7
6. think think
thinks
thought 		Verb 7 -16.77 2.74 38.79 0.58 6 11,506,490 4.72
7. go go
goes
going
gone
went 		Verb 19 -14.19 6.41 48.24 0.71 15 5,260,935 10.33
8. find found Verb 5 -13.08 1.87 25.18 0.56 5 14,631,666 3.72
9. can can Verb 27 -12.83 7.71 48.51 0.77 19 4,409,437 12.33
10. make made
make
makes
making 		Verb 21 -11.77 6.95 39.51 0.69 14 6,827,066 7.96
11. see saw
see
seeing
seen 		Verb 18 -11.35 6.46 35.6 0.73 14 9,163,442 5.93
12. look look
looked
looking
looks 		Verb 10 -9.16 4.68 21.72 0.7 10 10,906,540 4.98
13. come came
come
comes
coming 		Verb 16 -8.93 6.31 24.98 0.65 11 8,563,814 6.35
14. would would Verb 49 -7.93 10.14 30.22 0.83 34 3,162,953 17.19
15. get get
gets
getting
got 		Verb 32 -7.81 8.75 26.07 0.8 25 3,712,893 14.64
16. may may Verb 13 -7.58 5.77 18.68 0.74 13 5,436,729 10
17. become became
become
becomes
becoming 		Verb 6 -7.2 3.19 13.23 0.53 5 14,352,188 3.79
18. ask ask Verb 5 -7 2.6 11.92 0.56 5 23,343,241 2.33
19. want want
wanted
wanting
wants 		Verb 10 -6.73 5 14.6 0.66 9 10,987,018 4.95
20. could could Verb 25 -6.45 8.09 18.42 0.7 15 5,915,071 9.19
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