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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:
excelSpreadsheet
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TTEST
MI3
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. set set
sets
setting 		Verb 88 8.99 17.51 1,952.25 0.87 51 1,449,762 37.5
2. establish establish
established
establishing 		Verb 24 4.57 13.07 312.05 0.77 19 4,602,946 11.81
3. follow follow
followed
Following
follows 		Verb 27 4.39 12.19 124 0.76 20 3,677,483 14.78
4. create create
created
creates
creating 		Verb 16 3.5 10.99 97.55 0.69 12 7,878,217 6.9
5. contain contain
contained
contains 		Verb 8 2.24 8.26 23.96 0.21 2 52,004,519 1.05
6. see See Verb 29 2.16 10.46 7.94 0.09 2 52,152,761 1.04
7. exist exist
existed
exists 		Verb 5 1.77 6.9 14.87 0.56 5 22,501,660 2.42
8. provide provide
provided
provides 		Verb 10 1.67 7.73 5.97 0.35 4 16,502,765 3.29
9. suggest suggest
suggested
suggests 		Verb 7 1.65 7.02 7.24 0.38 4 15,279,294 3.56
10. find find
finds 		Verb 5 -1.78 3.8 1.78 0.56 5 12,709,387 4.28
11. could could Verb 8 -2.48 5.09 3.32 0.61 7 11,463,680 4.74
12. use used
uses
using 		Verb 5 -2.84 3.46 3.59 0.34 3 24,052,556 2.26
13. make make
makes
making 		Verb 8 -4.12 4.7 7.03 0.57 6 14,161,403 3.84
14. would would Verb 12 -4.45 5.98 8.88 0.7 11 8,293,186 6.55
15. can can Verb 9 -5.19 4.89 10.08 0.55 6 16,855,246 3.23
16. will will Verb 5 -8.65 2.36 15.7 0.34 3 29,206,435 1.86
17. have had
has
have 		Verb 47 -10.55 9.76 48.91 0.84 34 3,149,779 17.26
18. do did
do
does
doing 		Verb 11 -11.77 4.73 31.83 0.55 7 12,252,546 4.44
19. be 's
are
be
been
being
is
was
were 		Verb 193 -13.84 14.19 143.7 0.82 67 968,299 56.14
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