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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
done 		Verb 14 -56.69 3.6 208.04 0.73 13 6,375,024 8.53
2. have 'd
've
had
has
have 		Verb 69 -56.62 9.25 457.44 0.85 43 1,767,595 30.75
3. will will Verb 6 -42.45 0.97 100.45 0.53 5 14,879,308 3.65
4. be 'm
's
are
be
been
being
is
was
were 		Verb 716 -38.3 17.69 903.93 0.9 97 331,926 163.77
5. get get
got 		Verb 5 -38.13 0.47 81.99 0.56 5 20,537,885 2.65
6. see saw
see
seeing
seen 		Verb 5 -32.83 0.67 69.8 0.56 5 16,673,088 3.26
7. would would Verb 13 -30.75 4.15 101.68 0.7 11 8,895,118 6.11
8. go go
goes
gone
went 		Verb 9 -28.95 2.93 80.19 0.64 8 9,724,227 5.59
9. can can Verb 12 -28.59 3.96 90.28 0.62 8 9,563,855 5.68
10. know knew
know
knowing
known 		Verb 6 -28.38 1.52 64.96 0.53 5 14,041,825 3.87
11. say said
say
saying
says 		Verb 19 -26.44 5.68 101.57 0.75 16 4,713,814 11.53
12. take take
taken
takes
taking
took 		Verb 12 -17.77 4.55 52.26 0.7 11 7,853,259 6.92
13. could could Verb 11 -17.14 4.29 48.28 0.71 11 7,851,889 6.92
14. may may Verb 6 -17.06 2.18 36.88 0.53 5 15,920,974 3.41
15. use Use
using 		Verb 7 -16.74 2.74 38.64 0.63 7 9,178,156 5.92
16. look look
looking
Looks 		Verb 7 -14.8 2.89 33.54 0.63 7 10,476,880 5.19
17. make made
make
makes
making 		Verb 23 -13.72 7.1 49.63 0.77 19 5,054,862 10.75
18. give gave
give
given
gives
giving 		Verb 11 -12.67 4.65 33.67 0.71 11 7,381,913 7.36
19. come came
come
comes 		Verb 16 -11.33 6.06 33.89 0.74 14 9,503,593 5.72
20. find find
finding
found 		Verb 9 -10.53 4.17 24.79 0.68 9 13,895,732 3.91
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