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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
're
's
are
be
been
being
is
was
were 		Verb 463 -58.11 15.82 1,367.47 0.88 95 409,357 132.79
2. do did
do
does
done 		Verb 22 -42.76 5.58 188.97 0.78 19 6,491,683 8.37
3. can can Verb 9 -33.43 2.74 94.06 0.64 8 9,517,922 5.71
4. know knew
know
known
knows 		Verb 7 -25.45 2.21 61.92 0.63 7 13,138,576 4.14
5. would would Verb 17 -25.45 5.33 92.53 0.68 13 6,032,633 9.01
6. could could Verb 6 -24.82 1.69 56.08 0.53 5 17,685,071 3.07
7. have 'd
had
has
have
having 		Verb 193 -24.32 13.73 239.83 0.85 62 1,120,194 48.53
8. go go
goes
going
gone
went 		Verb 12 -23.77 4.2 73.24 0.73 12 5,692,305 9.55
9. see saw
see 		Verb 10 -21.24 3.7 59.39 0.7 10 9,054,578 6
10. take take
taken
takes
taking
took 		Verb 12 -17.44 4.58 51.13 0.73 12 7,598,862 7.15
11. make made
make
makes 		Verb 18 -16.36 6.06 56.1 0.72 14 5,906,333 9.2
12. find found Verb 5 -15.63 1.65 30.83 0.56 5 18,015,988 3.02
13. come came
come
comes 		Verb 11 -14.88 4.46 40.84 0.71 11 8,075,059 6.73
14. may may Verb 8 -13.8 3.44 32.7 0.54 5 16,268,977 3.34
15. think think
thought 		Verb 16 -10.98 6.09 32.59 0.63 10 7,622,026 7.13
16. must must Verb 5 -10.81 2.1 20.14 0.48 4 17,831,912 3.05
17. will will
wo 		Verb 40 -10.79 9.21 43.98 0.24 9 9,136,009 5.95
18. use use
used
uses 		Verb 14 -9.75 5.76 26.64 0.73 13 5,867,242 9.26
19. leave left Verb 5 -9.04 2.31 16.3 0.56 5 23,438,665 2.32
20. give gave
give
given
gives
giving 		Verb 17 -8.54 6.56 23.99 0.78 17 5,349,766 10.16
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