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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
am
are
be
been
being
is
was
were 		Verb 371 -31.49 15.67 563.86 0.93 94 440,348 123.45
2. do did
do 		Verb 21 -23.13 6.19 92.46 0.78 19 4,563,792 11.91
3. say said
saying
says 		Verb 11 -19.41 4.14 56.45 0.66 9 14,525,140 3.74
4. will will Verb 8 -19.01 3.05 47.81 0.61 7 10,587,266 5.13
5. can can Verb 12 -14.54 4.79 41.55 0.6 9 13,477,162 4.03
6. think think Verb 5 -13.05 1.87 25.22 0.56 5 19,660,894 2.76
7. would 'd
would 		Verb 19 -11.6 6.62 37.65 0.75 17 4,126,329 13.17
8. could could Verb 8 -10.64 3.75 24.1 0.66 8 15,621,013 3.48
9. should should Verb 10 -5.05 5.27 9.91 0.66 9 9,144,994 5.94
10. may may Verb 11 -4.77 5.63 9.43 0.71 11 8,432,861 6.45
11. know know
known 		Verb 21 -4.67 7.77 10.97 0.74 16 6,033,217 9.01
12. take take
taken
takes
took 		Verb 21 -4.43 7.81 10.13 0.74 16 5,098,528 10.66
13. go go
goes
went 		Verb 30 -4.35 8.97 10.74 0.81 24 3,278,229 16.58
14. get get
gets
getting
got 		Verb 29 -4.03 8.91 9.45 0.79 22 3,494,775 15.55
15. come came
come 		Verb 19 -3.54 7.64 7 0.7 14 5,423,515 10.02
16. show show
showing
shown 		Verb 6 -3.24 3.95 4.55 0.6 6 10,486,023 5.18
17. 's 's Verb 5 -1.92 3.75 1.99 0.4 3 18,330,958 2.97
18. become become
becomes
becoming 		Verb 10 -1.81 5.99 2.1 0.66 9 11,336,791 4.79
19. set set Verb 6 -1.34 4.54 1.16 0.6 6 24,622,583 2.21
20. leave leave
leaving
left 		Verb 11 -1.02 6.53 0.8 0.71 11 9,483,482 5.73
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