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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 362 -60.46 14.94 1,311.13 0.91 88 510,728 106.44
2. can can Verb 5 -40.9 0.37 88.63 0.56 5 26,329,713 2.06
3. do did
do
does
doing
done 		Verb 24 -35.2 6.14 158.26 0.75 19 5,587,884 9.73
4. go go
going
went 		Verb 8 -26.61 2.62 69.33 0.66 8 12,220,508 4.45
5. have 'd
had
has
have
having 		Verb 167 -23.34 13.28 216.46 0.87 63 1,046,773 51.93
6. get get
getting
got 		Verb 9 -23.14 3.22 62.56 0.58 6 10,751,664 5.06
7. make made Verb 10 -21.24 3.7 59.49 0.7 10 7,032,843 7.73
8. would would Verb 26 -16.01 7.35 63.43 0.78 21 4,345,202 12.51
9. look look
looked
looks 		Verb 5 -15.7 1.64 31.02 0.56 5 13,081,925 4.16
10. know knew
know
knowing
knows 		Verb 13 -14.59 5.07 42.82 0.64 9 9,614,702 5.65
11. think think
thinking
thought 		Verb 10 -13.56 4.24 35.2 0.7 10 9,501,539 5.72
12. take take
taken
takes
taking
took 		Verb 14 -13.34 5.42 39.54 0.73 13 7,429,347 7.32
13. will will Verb 27 -13.19 7.69 50.25 0.76 19 5,441,935 9.99
14. come came
come
comes 		Verb 11 -12.74 4.64 33.94 0.68 10 8,613,474 6.31
15. could could Verb 17 -10.18 6.38 30.26 0.72 13 6,926,983 7.85
16. see saw
see
seen 		Verb 22 -9.83 7.29 31.71 0.74 16 7,239,150 7.51
17. find find
found 		Verb 8 -9.64 3.86 21.25 0.61 7 8,994,012 6.04
18. should should Verb 10 -9.54 4.64 22.88 0.7 10 16,327,673 3.33
19. use use
used
uses
using 		Verb 12 -9.4 5.28 24.04 0.7 11 8,696,273 6.25
20. may may Verb 12 -8.52 5.38 21.18 0.68 10 8,364,302 6.5
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