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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 's
are
be
been
being
is
was
were 		Verb 354 -62.73 14.82 1,360.54 0.89 83 563,630 96.45
2. do did
do
does
doing
done 		Verb 30 -30.91 7.08 150.35 0.8 24 5,764,579 9.43
3. can can Verb 10 -27.78 3.35 80.62 0.61 8 12,779,839 4.25
4. say said
say
saying
says 		Verb 15 -26.68 4.83 92.62 0.72 13 5,731,248 9.48
5. have had
has
have 		Verb 166 -24.01 13.23 224.54 0.87 62 1,067,348 50.93
6. get get
getting
got 		Verb 12 -19.5 4.44 58.4 0.64 9 12,008,822 4.53
7. know knew
know
known
knows 		Verb 11 -16.75 4.32 47.08 0.66 9 10,596,394 5.13
8. should should Verb 5 -15.99 1.62 31.67 0.34 3 25,554,848 2.13
9. would would Verb 30 -14.46 7.95 58.84 0.75 20 5,037,301 10.79
10. look Look
looking
looks 		Verb 6 -14.16 2.41 29.85 0.53 5 31,852,787 1.71
11. give gave
give
given 		Verb 8 -13.7 3.45 32.45 0.66 8 14,818,281 3.67
12. take take
taken
takes
taking
took 		Verb 14 -13.58 5.4 40.43 0.75 14 6,711,728 8.1
13. think think
thought 		Verb 11 -12.86 4.63 34.33 0.68 10 10,152,447 5.35
14. use use
used
using 		Verb 9 -12.07 4.01 29.3 0.68 9 10,939,647 4.97
15. will will
wo 		Verb 32 -11.48 8.4 44.45 0.76 20 4,239,278 12.82
16. see saw
see
seen 		Verb 20 -10.98 6.86 35.44 0.68 14 7,895,868 6.88
17. make made
make
makes 		Verb 26 -10.25 7.81 35.53 0.69 16 5,534,047 9.82
18. could could Verb 19 -9.36 6.84 28.22 0.7 12 13,352,528 4.07
19. ask ask
asked
asking 		Verb 6 -6.36 3.32 11.3 0.53 5 13,823,162 3.93
20. find find
found 		Verb 13 -6.32 5.94 14.62 0.68 10 11,132,585 4.88
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