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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 are
be
been
being
is
was
were 		Verb 237 -36.38 14.03 589.58 0.87 76 807,206 67.34
2. have had
has
have 		Verb 49 -28.28 8.9 176.93 0.83 31 3,103,699 17.51
3. say said
say
says 		Verb 6 -22.64 1.81 51.38 0.6 6 14,921,338 3.64
4. do did
do
does
doing
done 		Verb 16 -21.88 5.31 77.36 0.74 14 4,988,214 10.9
5. can can Verb 8 -15.15 3.33 36.89 0.66 8 15,943,597 3.41
6. go go
going
gone
went 		Verb 7 -13.94 2.97 31.59 0.63 7 11,576,718 4.7
7. see saw
see
seen 		Verb 6 -12.21 2.59 25.29 0.6 6 11,480,712 4.73
8. would would Verb 15 -10.77 5.89 31.44 0.76 15 7,093,456 7.66
9. will will Verb 14 -9.72 5.77 26.82 0.75 14 7,278,026 7.47
10. could could Verb 7 -9.1 3.46 18.9 0.63 7 15,816,911 3.44
11. give gave
given
gives 		Verb 6 -7.46 3.15 13.91 0.6 6 12,585,357 4.32
12. come came
come
comes
coming 		Verb 9 -6.36 4.7 13.11 0.64 8 11,737,140 4.63
13. use use
used
using 		Verb 7 -6.23 3.87 11.69 0.63 7 17,046,578 3.19
14. make made
make
makes
making 		Verb 16 -6.17 6.65 15.22 0.72 13 7,285,035 7.46
15. may may Verb 7 -5.62 3.97 10.21 0.63 7 10,983,524 4.95
16. take take
taken
takes
taking
took 		Verb 17 -4.05 7.19 8.38 0.75 15 7,585,441 7.17
17. mean means
meant 		Verb 5 -3.38 3.32 4.57 0.56 5 17,300,205 3.14
18. work work
worked
working
works 		Verb 5 -3.13 3.38 4.1 0.56 5 18,786,383 2.89
19. should should Verb 11 -3.07 5.97 4.93 0.57 8 14,893,413 3.65
20. call call
called 		Verb 5 -2.25 3.64 2.53 0.48 4 22,987,677 2.36
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