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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:
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. leave leave
leaves
leaving
left 		Verb 27 4.23 11.94 97.27 0.75 21 4,340,627 12.52
2. contain contain
contained
containing
contains 		Verb 14 3.35 10.86 106.48 0.58 9 9,911,509 5.48
3. form form
formed
forming 		Verb 9 2.5 8.93 37.85 0.31 4 20,152,095 2.7
4. conserved conserved Verb 5 2.23 14.8 5,695.73 -0.01 1 54,124,695 1
5. result resulted
resulting
results 		Verb 5 1.91 7.43 25.26 0.34 3 22,022,035 2.47
6. remove remove
removed 		Verb 5 1.82 7.06 17.7 0.56 5 28,084,031 1.94
7. include include
included
includes 		Verb 6 1.27 6.22 3.33 0.48 4 16,741,119 3.25
8. find find
found 		Verb 11 0.93 7.39 1.21 0.55 6 14,107,549 3.85
9. may may Verb 9 -0.11 6.29 0.01 0.58 7 16,057,559 3.39
10. use used
using 		Verb 5 -2.24 3.64 2.53 0.48 4 17,086,757 3.18
11. could could Verb 7 -2.36 4.7 2.98 0.53 5 13,420,392 4.05
12. see see
seen 		Verb 5 -4.61 3.03 7.04 0.48 4 25,892,980 2.1
13. make made
make
making 		Verb 6 -4.63 3.64 7.54 0.48 4 25,742,507 2.11
14. go go
goes
going
went 		Verb 5 -6.13 2.74 10.23 0.56 5 16,629,647 3.27
15. will will Verb 6 -6.31 3.33 11.38 0.6 6 19,069,304 2.85
16. can can Verb 5 -7.45 2.53 13.1 0.56 5 18,944,170 2.87
17. be are
be
been
being
is
was
were 		Verb 147 -15.89 13.19 163.75 0.68 40 2,534,840 21.44
18. have had
has
have
having 		Verb 19 -19.79 6.03 78.8 0.58 9 8,610,537 6.31
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