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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
doing 		Verb 9 -33.3 2.74 95.78 0.58 6 10,133,008 5.36
2. have 'd
've
had
has
have
having 		Verb 101 -15.79 11.95 108.16 0.74 31 3,366,578 16.15
3. would would Verb 13 -12.94 5.2 37.38 0.66 10 7,781,578 6.99
4. know knew
known 		Verb 6 -12.4 2.57 25.74 0.6 6 17,173,855 3.17
5. make made
make
making 		Verb 9 -11.26 4.09 27.13 0.64 8 12,593,701 4.32
6. will will Verb 13 -11.08 5.37 30.81 0.7 11 15,358,129 3.54
7. be are
be
been
being
is
was
were 		Verb 596 -9.92 17.95 104.91 0.67 67 1,000,258 54.35
8. could could Verb 7 -9.7 3.39 20.45 0.53 5 15,867,252 3.43
9. see see
seen 		Verb 11 -8.07 5.14 19.25 0.66 9 8,986,685 6.05
10. give gave
give
given
giving 		Verb 7 -7.01 3.75 13.6 0.49 4 17,195,230 3.16
11. can can Verb 22 -6.71 7.64 18.93 0.7 15 7,826,730 6.95
12. become become
becoming 		Verb 5 -3.8 3.21 5.37 0.17 2 27,453,732 1.98
13. must must Verb 7 -2.75 4.59 3.72 0.49 5 15,286,849 3.56
14. might might Verb 6 -2.48 4.16 3.06 0.53 5 14,950,829 3.64
15. hold held
hold 		Verb 5 -1.98 3.73 2.09 0.48 4 18,178,662 2.99
16. should should Verb 15 -1.88 7.24 2.4 0.66 10 6,731,378 8.08
17. use use
used
using 		Verb 17 -1.87 7.64 2.42 0.61 8 15,197,070 3.58
18. include include
included
Includes
including 		Verb 5 -0.96 4.13 0.65 0.56 5 22,722,441 2.39
19. may may Verb 22 -0.21 8.85 0.04 0.58 9 12,697,204 4.28
20. find find
found 		Verb 19 -0.13 8.45 0.02 0.69 13 6,893,528 7.89
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