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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:
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. be 're
's
are
be
been
being
is
was
were 		Verb 609 -61.93 16.69 1,637.69 0.91 94 354,263 153.44
2. do did
do
does 		Verb 27 -48.23 6.15 236.57 0.81 24 3,708,933 14.66
3. get get
getting
got 		Verb 8 -36.36 2.21 97.14 0.66 8 9,462,266 5.74
4. say said
say
saying
says 		Verb 17 -35.85 4.9 136.12 0.68 13 18,286,461 2.97
5. go go
goes
going
went 		Verb 14 -27.71 4.54 93.09 0.73 13 13,138,944 4.14
6. have had
has
have
having 		Verb 238 -27.5 14.31 303.08 0.9 78 829,877 65.5
7. make made
make
makes
making 		Verb 17 -22.32 5.49 79.08 0.75 15 5,957,017 9.13
8. take take
taken
takes
taking
took 		Verb 13 -21.44 4.6 67.15 0.72 12 8,016,375 6.78
9. use Use
using 		Verb 7 -21.16 2.45 50.27 0.63 7 10,894,803 4.99
10. can can Verb 29 -19.93 7.48 86.37 0.78 23 3,938,654 13.8
11. would would Verb 36 -19.35 8.26 90.8 0.75 22 4,349,014 12.5
12. will will Verb 30 -19.18 7.64 83.49 0.75 20 4,786,461 11.36
13. give gave
give
given
gives 		Verb 11 -16.31 4.35 45.45 0.71 11 6,744,589 8.06
14. should should Verb 9 -15.93 3.68 40.59 0.64 8 10,692,000 5.08
15. must must Verb 5 -14.03 1.78 27.23 0.56 5 12,806,585 4.24
16. work work
worked
working
works 		Verb 7 -9.51 3.41 19.8 0.63 7 14,593,342 3.72
17. mean mean
means
meant 		Verb 8 -9.08 3.93 19.68 0.61 7 9,127,311 5.96
18. could could Verb 32 -9.07 8.62 32.03 0.81 27 4,014,093 13.54
19. need need
needed
needing
needs 		Verb 8 -9 3.94 19.49 0.66 8 9,021,291 6.03
20. may may Verb 20 -8.64 7.09 25.73 0.79 19 4,361,066 12.46
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