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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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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. contain contain
contained
containing
contains 		Verb 16 3.59 11.29 126.75 0.45 7 12,631,705 4.3
2. form form
formed
forming 		Verb 9 2.45 8.79 32.81 0.58 6 15,730,928 3.46
3. dissolve dissolve
dissolved
dissolves 		Verb 6 2.39 10.61 249.34 -0.01 1 54,314,606 1
4. tend tend
tends 		Verb 7 2.24 8.33 33.06 0.35 3 25,132,739 2.16
5. base based Verb 8 2.21 8.19 22.31 0.54 6 20,372,599 2.67
6. melt melt
melts 		Verb 5 2.18 9.97 190.37 0.17 2 41,159,660 1.32
7. can can Verb 37 2.14 11.05 7.26 0.2 5 16,192,670 3.36
8. consist consist
consisting
consists 		Verb 5 1.98 7.75 33.67 0.48 4 19,506,757 2.79
9. draw drawing
drawn 		Verb 5 1.37 6 4.79 0.34 3 24,612,557 2.21
10. use use
used
using 		Verb 14 0.78 7.95 0.78 0.52 7 12,822,501 4.24
11. call called Verb 6 0.52 5.51 0.34 0.43 4 18,994,287 2.86
12. may may Verb 12 0.49 7.39 0.28 0.51 6 16,635,738 3.27
13. give give
given
gives
giving 		Verb 6 -2.22 4.24 2.62 0.53 5 19,233,361 2.83
14. could could Verb 8 -2.35 5.13 3.05 0.32 3 37,276,857 1.46
15. will will Verb 12 -3.39 6.19 5.92 0.3 4 16,762,949 3.24
16. make made
make
making 		Verb 8 -3.95 4.74 6.62 0.61 7 12,469,647 4.36
17. would would Verb 9 -5.91 4.77 12.04 0.5 6 13,296,406 4.09
18. be are
be
been
being
is
was
were 		Verb 204 -12.01 14.46 117.44 0.47 18 5,284,398 10.29
19. have had
has
have 		Verb 27 -17.2 7.4 76.52 0.51 7 9,345,363 5.82
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