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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 242 -108.69 12.84 2,216.59 0.92 85 720,554 75.44
2. have 've
had
has
have
having 		Verb 70 -63.21 9.16 520.9 0.87 49 1,677,831 32.4
3. do did
do
does 		Verb 18 -54.93 4.54 226.22 0.57 11 9,267,718 5.87
4. would 'd
would 		Verb 7 -49.34 1.32 126.96 0.53 5 22,728,535 2.39
5. will will
wo 		Verb 10 -35.45 3.03 105.19 0.66 9 8,420,293 6.46
6. know know
known 		Verb 5 -35.27 0.58 75.28 0.34 3 32,597,342 1.67
7. say said
say
says 		Verb 15 -34.61 4.5 123.79 0.71 12 8,416,258 6.46
8. can ca
can 		Verb 11 -33.85 3.43 104.53 0.66 9 12,465,943 4.36
9. make made
make 		Verb 10 -28.02 3.34 81.04 0.66 9 9,288,246 5.85
10. take take
taken
taking
took 		Verb 9 -24.22 3.16 65.61 0.61 7 12,239,573 4.44
11. go go
going
gone
went 		Verb 15 -23.61 4.99 80.04 0.74 14 9,164,168 5.93
12. give gave
give
given 		Verb 6 -21.59 1.88 48 0.53 5 16,238,786 3.35
13. look look
looked
looking 		Verb 6 -18.48 2.08 40.34 0.6 6 12,821,803 4.24
14. get get
getting
got 		Verb 20 -17.94 6.32 65.38 0.76 17 5,932,422 9.16
15. may may Verb 7 -17.41 2.69 40.36 0.58 6 18,574,206 2.93
16. use use
used
using 		Verb 9 -15.98 3.68 40.79 0.61 7 12,988,743 4.19
17. see saw
see
seen
sees 		Verb 20 -14.99 6.52 52.46 0.77 18 8,171,663 6.65
18. find find
found 		Verb 8 -13.11 3.51 30.74 0.57 6 17,905,276 3.04
19. come came
come
comes
coming 		Verb 17 -12.39 6.17 38.79 0.76 16 6,614,138 8.22
20. become become
becomes 		Verb 5 -11.67 2.01 22.03 0.56 5 23,390,191 2.32
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