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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 'm
's
am
are
be
been
being
is
was
were 		Verb 517 -52.69 16.3 1,254.18 0.85 86 524,538 103.63
2. have had
has
have
having 		Verb 143 -32.48 12.43 316.6 0.85 62 1,067,362 50.93
3. get get
gets
getting 		Verb 7 -30.97 1.95 76.85 0.63 7 11,166,966 4.87
4. do did
do
does
doing
done 		Verb 40 -28.9 8.17 156.79 0.81 29 4,337,719 12.53
5. say said
say
says 		Verb 17 -27.95 5.22 103.13 0.72 14 7,962,003 6.83
6. would would Verb 21 -22.05 6.25 85.73 0.7 14 5,780,914 9.4
7. think think
thinking
thought 		Verb 7 -20.03 2.52 47.37 0.38 4 21,203,285 2.56
8. will will Verb 20 -19.76 6.21 73.63 0.74 16 5,766,668 9.43
9. make made
make
makes
making 		Verb 14 -19.65 4.97 62.84 0.68 10 8,360,867 6.5
10. can can Verb 23 -18.02 6.8 69.74 0.75 17 4,922,076 11.04
11. look look
looked
looking 		Verb 8 -13.25 3.49 31.18 0.66 8 15,207,687 3.57
12. take take
taken
takes
taking
took 		Verb 18 -12.84 6.33 41.54 0.65 12 6,146,107 8.84
13. use use
used
uses
using 		Verb 11 -11.92 4.72 31.25 0.66 9 9,806,706 5.54
14. see saw
see
seen 		Verb 22 -11.78 7.11 40.13 0.78 19 6,489,158 8.38
15. come came
Come
comes
coming 		Verb 15 -11.72 5.8 34.54 0.72 13 6,750,448 8.05
16. may may Verb 11 -10.88 4.82 27.91 0.68 10 12,832,742 4.24
17. could could Verb 21 -10.01 7.11 31.88 0.67 11 10,467,770 5.19
18. need need
needed
needs 		Verb 5 -9.77 2.22 17.89 0.48 4 30,704,843 1.77
19. give gave
give
given
gives
giving 		Verb 15 -9.62 6.01 26.84 0.76 15 9,325,148 5.83
20. must must Verb 6 -9.47 2.89 18.54 0.6 6 11,716,886 4.64
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