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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. have 've
had
has
have 		Verb 108 -44.77 11.1 421.2 0.88 64 1,036,142 52.46
2. be 's
am
are
be
been
being
is
was
were 		Verb 709 -42.87 17.56 1,055.06 0.88 94 365,078 148.9
3. say said
say
saying 		Verb 11 -39.71 3.22 124.79 0.66 9 16,021,816 3.39
4. go go
going
gone 		Verb 7 -35.86 1.75 90.05 0.58 6 16,102,727 3.38
5. see see
seen 		Verb 5 -35.04 0.58 74.8 0.56 5 18,810,300 2.89
6. know know
knows 		Verb 5 -33.67 0.64 71.66 0.56 5 19,913,801 2.73
7. think think
thought 		Verb 7 -21.81 2.41 52.1 0.58 6 18,200,695 2.99
8. come come
comes 		Verb 8 -20.21 2.97 50.76 0.61 7 13,662,223 3.98
9. take take
taken
takes
taking
took 		Verb 12 -19.11 4.47 56.85 0.7 11 7,296,940 7.45
10. get get
gets
getting
got 		Verb 19 -17.66 6.16 62.83 0.78 18 4,211,274 12.91
11. want want
wants 		Verb 5 -15.39 1.66 30.29 0.48 4 20,854,475 2.61
12. can ca
can 		Verb 32 -15.21 8.12 64.09 0.79 24 4,355,970 12.48
13. do did
do
does
doing
done 		Verb 95 -14.91 11.8 91.91 0.84 48 1,506,763 36.08
14. make made
make
makes
making 		Verb 24 -14.37 7.19 53.44 0.8 22 3,904,671 13.92
15. use use
used
using 		Verb 12 -12.28 4.99 33.51 0.64 9 11,360,145 4.79
16. could could Verb 22 -10.69 7.21 35.31 0.77 18 5,469,351 9.94
17. find find
found 		Verb 10 -10.48 4.53 25.68 0.64 8 9,523,043 5.71
18. will will Verb 48 -9.95 9.89 41.5 0.84 34 2,358,003 23.05
19. would 'd
would 		Verb 60 -9.25 10.68 39.98 0.85 42 1,869,175 29.08
20. mean mean
means 		Verb 7 -8.37 3.56 16.93 0.58 6 16,967,293 3.2
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