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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 're
's
are
be
been
being
is
was
were 		Verb 437 -83.85 15.22 2,102.6 0.89 87 468,335 116.07
2. do did
do
does 		Verb 23 -54.51 5.42 251.27 0.79 21 3,114,085 17.46
3. say said
say
says 		Verb 9 -53.29 2.11 155.4 0.68 9 7,086,161 7.67
4. have had
has
have
having 		Verb 122 -50.38 11.39 509.06 0.88 60 1,149,724 47.28
5. know knew
known
knows 		Verb 5 -40.25 0.4 86.56 0.56 5 11,401,612 4.77
6. go go
goes
going
went 		Verb 8 -39.8 2.09 107.12 0.66 8 9,014,019 6.03
7. see saw
see
sees 		Verb 6 -37.82 1.13 88.36 0.6 6 20,441,006 2.66
8. get get
getting
got 		Verb 8 -37.32 2.17 99.9 0.54 6 17,229,619 3.15
9. think think
thinking
thought 		Verb 5 -32.01 0.71 67.73 0.34 3 28,631,364 1.9
10. come came
come
comes 		Verb 6 -29.03 1.49 66.39 0.6 6 17,448,721 3.12
11. make made
make
makes
Making 		Verb 16 -23.93 5.2 83.48 0.69 12 7,425,732 7.32
12. would would Verb 29 -23.55 7.29 105.78 0.82 26 3,557,642 15.28
13. will will Verb 28 -20.85 7.31 89.95 0.73 17 7,705,154 7.05
14. use use
used
using 		Verb 8 -19.98 2.99 50.03 0.66 8 13,374,263 4.06
15. find find
found 		Verb 7 -16.65 2.75 38.34 0.58 6 14,781,237 3.68
16. can can Verb 38 -16.49 8.62 75.65 0.78 24 3,901,025 13.93
17. take take
taken
takes
taking
took 		Verb 20 -16.22 6.43 57.69 0.77 18 5,197,728 10.46
18. could could Verb 18 -15.88 6.09 53.88 0.77 17 4,844,276 11.22
19. give gave
give
given
gives
giving 		Verb 16 -12.68 5.94 38.96 0.77 16 7,149,858 7.6
20. might might Verb 6 -10.42 2.78 20.77 0.53 5 23,053,231 2.36
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