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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. do did
do
does
doing
done 		Verb 9 -52.95 2.12 157.18 0.5 6 11,161,794 4.87
2. be 'm
's
are
be
been
being
is
was
were 		Verb 368 -48.18 15.23 990.57 0.86 80 607,277 89.51
3. have had
has
have
having 		Verb 101 -29.79 11.33 249.66 0.83 48 1,621,009 33.53
4. say said
say
says 		Verb 10 -28.35 3.33 82.81 0.61 8 10,576,240 5.14
5. come comes
coming 		Verb 5 -18.12 1.46 36.5 0.56 5 16,902,449 3.22
6. take taken
takes
taking
took 		Verb 7 -17.99 2.65 42.11 0.63 7 14,452,390 3.76
7. can ca
can 		Verb 15 -17.41 5.36 56.37 0.68 11 6,076,138 8.95
8. make made
make
makes
making 		Verb 12 -15.57 4.71 44.9 0.66 10 7,689,644 7.07
9. could could Verb 9 -13.79 3.86 34.44 0.68 9 18,040,667 3.01
10. would 'd
would 		Verb 25 -13.39 7.41 49.96 0.71 15 6,430,127 8.45
11. will will Verb 22 -12.72 7.03 44.52 0.74 16 5,601,065 9.71
12. see see
seen 		Verb 13 -12.54 5.24 35.66 0.7 11 11,017,581 4.93
13. give gave
given
gives
giving 		Verb 7 -12.23 3.12 26.89 0.63 7 12,402,776 4.38
14. use use
used
using 		Verb 7 -11.75 3.17 25.62 0.63 7 10,235,187 5.31
15. may may Verb 8 -9.71 3.85 21.48 0.66 8 11,528,159 4.72
16. find find
finds
found 		Verb 9 -7.04 4.6 14.94 0.58 7 14,387,734 3.78
17. need need
needs 		Verb 5 -6.81 2.63 11.53 0.56 5 14,214,040 3.82
18. must must Verb 6 -6.53 3.3 11.7 0.53 5 16,358,449 3.32
19. should should Verb 12 -6.45 5.65 14.66 0.46 7 14,241,174 3.82
20. look looked
looking
looks 		Verb 12 -6.43 5.66 14.61 0.7 11 6,319,586 8.6
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