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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 8 -45.99 1.89 128.1 0.61 7 9,872,270 5.51
2. be 'm
's
are
be
been
being
is
was
were 		Verb 304 -43.53 14.69 811.93 0.88 78 754,958 72
3. have 've
had
has
have 		Verb 78 -28.46 10.49 213.89 0.83 45 1,786,385 30.43
4. get get
getting
got 		Verb 6 -20.05 1.97 44.56 0.6 6 12,431,277 4.37
5. go go
goes
went 		Verb 9 -16.51 3.64 42.7 0.61 7 10,366,359 5.24
6. say said
saying
says 		Verb 16 -16.49 5.64 54.5 0.71 12 10,055,088 5.41
7. think think
thinking
thought 		Verb 5 -14.39 1.75 28.18 0.48 4 14,057,196 3.87
8. come come
comes
coming 		Verb 7 -11.5 3.2 25.04 0.63 7 11,289,986 4.81
9. could could Verb 9 -10.81 4.14 25.73 0.61 7 12,562,689 4.33
10. would would Verb 25 -10.13 7.69 34.74 0.78 21 7,220,607 7.53
11. use use
used
using 		Verb 7 -9.19 3.45 19.08 0.63 7 17,280,154 3.15
12. can can Verb 24 -8.94 7.67 28.92 0.77 18 4,986,631 10.9
13. make made
make
makes
MAKING 		Verb 18 -8.54 6.75 24.63 0.61 11 6,777,049 8.02
14. find find
Finding
found 		Verb 6 -7.67 3.12 14.35 0.6 6 14,056,660 3.87
15. will will Verb 34 -5.69 9.19 16.73 0.79 25 4,623,942 11.76
16. look look
looked
looking 		Verb 15 -3.41 6.9 6.23 0.63 10 7,453,687 7.29
17. may may Verb 16 -3.29 7.13 6.01 0.75 15 9,708,536 5.6
18. might might Verb 7 -3.14 4.49 4.52 0.63 7 11,207,177 4.85
19. like like
likes 		Verb 6 -1.82 4.37 1.9 0.6 6 13,818,226 3.93
20. should should Verb 21 -1.58 8.36 1.87 0.73 16 5,296,885 10.26
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