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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 're
's
are
be
been
being
is
was
were 		Verb 591 -43.6 16.93 1,019.75 0.87 88 459,366 118.34
2. have 'd
've
had
has
have 		Verb 97 -42.09 10.8 374.63 0.83 48 1,998,986 27.19
3. go go
goes
going
went 		Verb 5 -38.42 0.46 82.72 0.56 5 16,856,472 3.22
4. do did
do
does 		Verb 30 -33.68 6.98 165.87 0.8 23 5,089,014 10.68
5. know knew
know 		Verb 7 -24.43 2.26 59.19 0.49 5 20,956,396 2.59
6. would would Verb 17 -24.37 5.39 88.06 0.7 12 6,371,808 8.53
7. say said
say
saying 		Verb 23 -21.75 6.58 87.75 0.77 18 10,033,847 5.42
8. will will Verb 17 -21.17 5.56 74.67 0.72 13 7,536,925 7.21
9. get get
gets
getting
got 		Verb 13 -20.14 4.68 62.7 0.57 9 9,713,808 5.6
10. could could Verb 8 -19.92 2.99 50.02 0.61 7 13,440,371 4.04
11. come came
come
comes 		Verb 8 -17.73 3.14 43.77 0.61 7 18,820,508 2.89
12. take take
taken
takes
taking
took 		Verb 13 -15.74 4.98 46.86 0.72 12 6,489,458 8.38
13. can can Verb 27 -15.07 7.55 59.51 0.73 17 5,103,790 10.65
14. should should Verb 7 -13.93 2.97 31.27 0.58 6 11,176,634 4.86
15. may may Verb 8 -13.19 3.5 31.02 0.61 7 8,636,377 6.29
16. give gave
give
given
gives
giving 		Verb 15 -9.11 6.07 25.03 0.71 12 8,294,975 6.55
17. make made
make
makes
making 		Verb 35 -8.32 8.99 29.29 0.75 22 5,375,604 10.11
18. ask asked
asking 		Verb 5 -8.14 2.43 14.36 0.48 4 14,118,658 3.85
19. mean mean
means
meant 		Verb 8 -6.37 4.3 12.54 0.66 8 16,637,420 3.27
20. follow followed
following 		Verb 5 -5.82 2.79 9.45 0.48 4 19,356,752 2.81
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