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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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Part of speech:
Collocate's part of speech:
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MI3
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. be 'm
're
's
are
be
been
being
is
was
were 		Verb 299 -42.93 14.65 792.9 0.89 84 595,043 91.35
2. do did
do
does 		Verb 16 -29.82 4.92 109.93 0.75 15 5,087,124 10.69
3. say say
saying
says 		Verb 7 -27.71 2.09 68.69 0.58 6 13,057,852 4.16
4. have 've
had
has
have
having 		Verb 85 -25.78 10.89 195.19 0.83 42 2,061,870 26.36
5. go go
goes
gone
went 		Verb 5 -23.41 1.12 48.68 0.56 5 15,031,650 3.62
6. will will Verb 10 -17.64 3.93 48.34 0.7 10 8,869,888 6.13
7. make made
make
making 		Verb 7 -17.44 2.69 40.76 0.58 6 15,449,049 3.52
8. come came
come
comes 		Verb 5 -14.16 1.77 27.69 0.56 5 17,420,671 3.12
9. can ca
can 		Verb 14 -14.01 5.37 42.28 0.73 13 6,049,975 8.99
10. see saw
see 		Verb 10 -11.67 4.41 29.49 0.58 7 16,685,375 3.26
11. would would Verb 21 -11.59 6.97 38.99 0.55 13 7,432,907 7.31
12. use use
used
uses 		Verb 7 -8.95 3.48 18.47 0.58 6 17,963,686 3.03
13. take take
taken
taking
took 		Verb 14 -8.02 5.96 20.75 0.75 14 8,104,885 6.71
14. should should Verb 9 -6.22 4.72 12.71 0.64 8 9,406,999 5.78
15. must must Verb 5 -5.69 2.82 9.19 0.56 5 15,435,689 3.52
16. become became
become 		Verb 5 -5.26 2.9 8.29 0.56 5 14,800,700 3.67
17. work work
worked
working 		Verb 5 -4.77 3 7.31 0.56 5 20,224,156 2.69
18. leave leaving
left 		Verb 5 -4.62 3.03 7 0.56 5 17,416,911 3.12
19. find find
finding
found 		Verb 10 -4.52 5.36 8.47 0.66 9 9,815,578 5.54
20. may may Verb 13 -4.32 6.26 8.58 0.7 11 9,493,762 5.73
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