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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 's
are
be
been
being
is
was
were 		Verb 333 -33.28 15.26 587.67 0.88 85 594,810 91.39
2. do did
do
does
doing 		Verb 12 -31.79 3.82 103.82 0.7 11 7,313,444 7.43
3. have 'd
've
had
has
have
having 		Verb 66 -27.74 9.95 194.35 0.83 36 2,429,795 22.37
4. go goes
going
went 		Verb 5 -20.92 1.27 43.05 0.56 5 11,812,620 4.6
5. say said
say
says 		Verb 12 -17.47 4.57 51.84 0.58 7 13,164,605 4.13
6. make made
make 		Verb 6 -17.14 2.17 37.37 0.6 6 13,155,762 4.13
7. would would Verb 11 -16.86 4.31 47.87 0.66 9 12,554,703 4.33
8. see saw
see
seeing 		Verb 6 -14.84 2.35 31.68 0.6 6 16,962,725 3.2
9. know know
knowing
known 		Verb 6 -14.21 2.4 30.12 0.6 6 21,018,328 2.59
10. can can Verb 17 -10.42 6.36 31.47 0.76 16 5,435,267 10
11. could could Verb 10 -8.43 4.77 19.64 0.64 8 10,206,958 5.33
12. will will Verb 22 -7.98 7.49 24.07 0.79 20 4,868,680 11.17
13. look looking Verb 6 -7.73 3.11 14.51 0.53 5 13,939,938 3.9
14. should should Verb 7 -6.8 3.78 13.06 0.63 7 12,571,965 4.32
15. use use
used
using 		Verb 12 -4.53 5.96 8.99 0.7 11 8,454,334 6.43
16. may may Verb 11 -4.46 5.69 8.58 0.68 10 8,381,419 6.49
17. come came
Come 		Verb 16 -4.28 6.95 8.95 0.72 14 6,802,234 7.99
18. work work
working
works 		Verb 5 -4.09 3.14 5.95 0.56 5 15,677,300 3.47
19. must must Verb 7 -3.4 4.42 5.1 0.45 4 14,263,802 3.81
20. call called Verb 5 -3.06 3.4 3.96 0.56 5 11,319,173 4.8
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