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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
am
are
be
been
being
is
was
were 		Verb 853 -107.89 17.24 3,717.83 0.93 99 230,359 235.98
2. have 'd
've
had
has
have
Having 		Verb 186 -77.32 12.34 1,000.32 0.91 77 784,684 69.28
3. do did
do
does
doing
done 		Verb 53 -64.16 8.16 438.83 0.79 35 2,759,840 19.7
4. say said
say
saying
says 		Verb 26 -55.45 5.83 266.02 0.81 24 4,166,825 13.05
5. think think
thought 		Verb 6 -54.72 0.63 129.92 0.6 6 10,709,878 5.08
6. know knew
know
knowing
known
knows 		Verb 12 -46.68 3.31 152.89 0.64 8 10,604,376 5.13
7. see saw
see
seen 		Verb 16 -41.09 4.51 152.19 0.74 14 5,480,054 9.92
8. go go
goes
going
gone
went 		Verb 25 -39.09 6.15 176.7 0.76 18 5,481,712 9.92
9. get get
gets
getting
got 		Verb 23 -38.5 5.87 167.23 0.78 20 5,900,717 9.21
10. come came
come
comes
coming 		Verb 13 -35.5 3.96 117.69 0.7 11 9,307,968 5.84
11. would 'd
would 		Verb 46 -35.23 8.42 205.4 0.83 33 2,719,507 19.99
12. will will
wo 		Verb 38 -34.87 7.76 186.77 0.81 27 3,654,714 14.87
13. can ca
can 		Verb 41 -33.48 8.08 184.05 0.8 27 3,335,045 16.3
14. may may Verb 10 -31.59 3.19 91.73 0.58 7 9,284,084 5.86
15. want want
wanted
wanting 		Verb 7 -29.6 2.01 72.46 0.58 6 12,454,914 4.36
16. could could Verb 21 -29.48 5.89 118.55 0.75 17 4,614,858 11.78
17. use use
used
using 		Verb 17 -24.49 5.38 87.37 0.73 14 7,155,566 7.6
18. tell tell
telling
told 		Verb 7 -24.35 2.26 58.51 0.63 7 11,700,373 4.65
19. might might Verb 5 -23.53 1.12 48.33 0.56 5 14,332,325 3.79
20. find find
found 		Verb 12 -23.49 4.21 71.53 0.62 8 8,541,865 6.36
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