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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. do did
do
does 		Verb 10 -62.32 2.27 196.09 0.66 9 10,783,325 5.04
2. be 's
are
be
been
being
is
was
were 		Verb 395 -60.33 15.24 1,351.61 0.86 83 641,649 84.72
3. have had
has
have
having 		Verb 131 -31.71 12.15 297.38 0.86 55 1,246,234 43.62
4. go go
goes
going
gone
went 		Verb 8 -28.2 2.54 73.88 0.66 8 10,088,339 5.39
5. take Take
taken
takes 		Verb 5 -27.89 0.89 58.57 0.48 4 18,839,719 2.89
6. say said
say
says 		Verb 15 -27.87 4.78 97.29 0.65 11 9,984,461 5.44
7. get Get
getting
got 		Verb 8 -26.4 2.63 68.65 0.61 7 10,326,291 5.26
8. come came
come
comes 		Verb 5 -22.87 1.15 47.16 0.56 5 14,315,781 3.8
9. would would Verb 23 -18.86 6.74 73.88 0.79 20 4,251,559 12.79
10. make made
make
makes
making 		Verb 14 -18 5.08 56.73 0.73 13 7,821,849 6.95
11. use use
used
uses
using 		Verb 6 -16.73 2.2 36.11 0.6 6 13,157,742 4.13
12. can can Verb 24 -15.86 7.09 60.65 0.78 19 5,031,640 10.8
13. will will Verb 24 -15.66 7.1 59.71 0.75 18 5,016,732 10.84
14. see see
seen 		Verb 14 -15.45 5.26 47.26 0.68 11 7,498,980 7.25
15. could could Verb 13 -13.63 5.14 39.39 0.74 13 5,386,847 10.09
16. might might Verb 5 -8.02 2.45 14.1 0.48 4 20,580,528 2.64
17. mean means
meant 		Verb 6 -7.8 3.1 14.63 0.6 6 14,932,409 3.64
18. should should Verb 16 -6.59 6.6 16.55 0.75 15 6,017,484 9.03
19. seem seem
seemed
seems 		Verb 7 -6.12 3.89 11.36 0.63 7 16,271,401 3.34
20. must must Verb 9 -6.04 4.75 12.19 0.61 7 10,625,988 5.12
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