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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:
Collocate's part of speech:
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. do did
do
does 		Verb 14 -47.05 3.85 170.5 0.71 12 9,198,832 5.91
2. say said
say
saying 		Verb 6 -43.61 0.94 103.85 0.53 5 14,368,765 3.78
3. be 's
are
be
been
being
is
was
were 		Verb 521 -41.28 16.56 909.06 0.94 95 313,997 173.12
4. have 've
had
has
have
having 		Verb 116 -31.32 11.75 279.93 0.89 64 1,154,472 47.09
5. know know
knowing
known 		Verb 5 -26.15 0.98 54.68 0.56 5 16,350,176 3.32
6. take take
Takes
taking
took 		Verb 5 -25.41 1.02 52.99 0.56 5 18,122,649 3
7. can ca
can 		Verb 12 -23.48 4.21 72.43 0.73 12 11,014,715 4.94
8. get get
getting
got 		Verb 9 -22.29 3.26 60 0.64 8 12,744,226 4.27
9. could could Verb 6 -20.84 1.92 46.28 0.6 6 15,469,003 3.51
10. would 'd
would 		Verb 19 -19.53 6.04 71.3 0.74 16 6,191,619 8.78
11. make make
makes
making 		Verb 12 -18.09 4.53 53.51 0.73 12 6,492,719 8.37
12. come came
come
comes 		Verb 7 -16.83 2.73 38.95 0.63 7 10,387,907 5.23
13. look look
looked
looking
looks 		Verb 5 -15.12 1.69 29.72 0.56 5 17,536,145 3.1
14. use use
used
using 		Verb 7 -13.65 2.99 30.56 0.58 6 14,546,453 3.74
15. will will Verb 26 -13.03 7.57 48.8 0.78 20 4,840,837 11.23
16. see saw
see
seen
sees 		Verb 16 -12.48 5.96 38.38 0.74 14 7,557,280 7.19
17. should should Verb 7 -12.05 3.14 26.37 0.63 7 13,516,643 4.02
18. mean means
meant 		Verb 7 -6.07 3.9 11.24 0.63 7 12,305,779 4.42
19. need need
needed
needs 		Verb 7 -6.01 3.9 11.11 0.63 7 10,545,232 5.15
20. must must Verb 8 -5.98 4.36 11.54 0.66 8 10,177,181 5.34
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