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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. be 's
are
be
been
being
is
was
were 		Verb 304 -31.65 15 533.16 0.88 80 631,268 86.11
2. have had
has
have
having 		Verb 62 -25.8 9.81 173.59 0.82 34 2,558,592 21.25
3. say said
say
says 		Verb 11 -16.58 4.33 47.05 0.61 8 10,208,655 5.32
4. go go
going
gone 		Verb 8 -13.83 3.44 33.1 0.23 3 39,265,875 1.38
5. would would Verb 15 -11.85 5.79 35.45 0.69 11 10,603,188 5.13
6. get get
getting
got 		Verb 9 -11.8 4.04 28.71 0.64 8 9,981,115 5.45
7. come came
come
coming 		Verb 5 -11.24 2.05 21.22 0.48 4 14,550,283 3.74
8. could could Verb 7 -9.96 3.36 21.11 0.58 6 18,620,540 2.92
9. do did
do
does
doing
done 		Verb 52 -8.21 10.3 32.92 0.82 33 3,162,662 17.19
10. take Take
taken
takes
taking
took 		Verb 12 -6.98 5.58 16.38 0.73 12 13,499,597 4.03
11. can can Verb 24 -6.24 7.98 17.52 0.77 19 4,234,087 12.84
12. may may Verb 7 -6.23 3.87 11.69 0.63 7 11,008,326 4.94
13. use use
used
using 		Verb 8 -6.09 4.34 11.88 0.51 5 17,976,136 3.02
14. should should Verb 8 -5.21 4.49 9.64 0.34 4 27,257,953 1.99
15. must must Verb 5 -4.28 3.1 6.32 0.48 4 15,400,915 3.53
16. put put Verb 5 -4.08 3.15 5.92 0.56 5 16,644,201 3.27
17. will will Verb 36 -3.01 9.75 6.17 0.77 25 4,778,588 11.38
18. mean mean
means
meant 		Verb 7 -2.45 4.67 3.13 0.58 6 15,534,029 3.5
19. work work
worked
works 		Verb 8 -1.73 5.31 1.86 0.61 7 12,140,949 4.48
20. run running
runs 		Verb 5 -1.4 3.94 1.21 0.56 5 13,329,442 4.08
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