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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 'm
's
are
be
been
being
is
was
were 		Verb 191 -24.59 13.68 325.9 0.69 44 1,849,638 29.39
2. have 'd
've
had
has
have 		Verb 55 -14.76 9.98 81.23 0.66 23 3,655,030 14.87
3. do did
do
does 		Verb 14 -14.69 5.31 45.77 0.53 6 11,426,840 4.76
4. say said Verb 9 -10.64 4.15 25.57 0.52 5 22,600,978 2.41
5. would would Verb 8 -10.53 3.76 24.04 0.42 4 16,861,355 3.22
6. get get
got 		Verb 5 -10.07 2.18 18.76 0.34 3 20,486,165 2.65
7. go go
goes
gone
went 		Verb 6 -9.48 2.89 18.81 0.48 4 18,502,909 2.94
8. make made
make
makes 		Verb 7 -7.59 3.66 15.15 0.58 6 13,818,759 3.93
9. could could Verb 5 -7.02 2.59 12.06 0.48 4 23,842,531 2.28
10. will will Verb 11 -6.8 5.31 15.47 0.68 10 8,405,591 6.47
11. take take
taken
took 		Verb 6 -6.71 3.27 12.21 0.48 4 24,092,523 2.26
12. see see Verb 8 -5.62 4.42 10.75 0.51 5 14,693,759 3.7
13. know knew
know
known
knows 		Verb 9 -4.68 4.98 8.67 0.55 6 15,309,106 3.55
14. may may Verb 5 -4.28 3.1 6.34 0.56 5 15,864,924 3.43
15. can can Verb 19 -3.41 7.66 6.66 0.6 9 9,289,029 5.85
16. come came
come
comes
coming 		Verb 9 -3.23 5.29 5.09 0.55 6 15,783,400 3.44
17. find find
finding
finds
found 		Verb 10 -0.75 6.34 0.46 0.44 5 20,082,682 2.71
18. ask asked Verb 6 -0.6 4.86 0.29 0.29 2 27,874,712 1.95
19. move move
moved
moving 		Verb 6 0.47 5.48 0.28 0.6 6 30,446,779 1.79
20. contain contain
containing
contains 		Verb 5 1.2 5.76 3.15 -0.01 1 54,339,690 1
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