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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 798 -57.1 17.69 1,617.52 0.86 96 363,498 149.55
2. do did
do
does 		Verb 26 -56.32 5.81 275.39 0.75 19 5,128,488 10.6
3. know know
known 		Verb 5 -44.55 0.26 96.29 0.56 5 20,542,498 2.65
4. say said
say
saying
says 		Verb 21 -35.99 5.64 150.24 0.74 15 5,791,255 9.39
5. have 've
had
has
have
having 		Verb 270 -29.03 14.69 339.8 0.9 80 736,946 73.76
6. come came
come
comes 		Verb 8 -27.19 2.59 70.53 0.66 8 8,347,398 6.51
7. can can Verb 30 -22.6 7.46 101.86 0.79 22 3,941,838 13.79
8. go go
goes
going
gone
went 		Verb 27 -20.35 7.21 85.87 0.78 20 5,285,149 10.29
9. get get
getting
got 		Verb 26 -19.42 7.14 79.87 0.81 24 3,982,416 13.65
10. use use
used
using 		Verb 10 -19.3 3.82 53 0.54 7 10,362,313 5.25
11. could could Verb 18 -17.91 5.96 62.28 0.74 15 5,634,530 9.65
12. give gave
give
given
giving 		Verb 12 -17.74 4.56 51.97 0.7 11 6,360,499 8.55
13. make made
make
makes
making 		Verb 30 -16.98 7.78 71.59 0.77 22 4,368,300 12.44
14. would would Verb 52 -16.58 9.68 85.41 0.72 21 4,432,086 12.26
15. see see
seeing
seen 		Verb 28 -15.23 7.66 60.76 0.58 13 10,015,605 5.43
16. will will Verb 52 -13.91 9.85 67.54 0.78 32 3,771,986 14.41
17. take take
taken
takes
taking
took 		Verb 30 -13.12 8.05 51.46 0.8 23 3,786,824 14.35
18. put put
putting 		Verb 7 -12.38 3.11 27.16 0.63 7 11,720,449 4.64
19. seem seemed
seems 		Verb 6 -11.87 2.62 24.23 0.53 5 19,696,331 2.76
20. might might Verb 6 -11.72 2.64 23.86 0.53 5 13,930,789 3.9
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