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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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excelSpreadsheet
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. produce produce
produced
produces
producing 		Verb 22 4.02 11.73 113.74 0.55 8 14,043,457 3.87
2. parse parse
parsed 		Verb 15 3.87 18.62 26,798.46 -0.01 1 54,356,094 1
3. contain contain
contained
containing
contains 		Verb 10 2.57 9.06 35.37 0.54 7 18,041,379 3.01
4. interpret interpret
interpreted
interpreting 		Verb 7 2.48 9.6 97.55 0.58 6 24,193,263 2.25
5. match Match
matched 		Verb 5 2 7.87 37.36 0.17 2 29,792,690 1.82
6. 's 's Verb 10 1.87 7.93 8.53 0.35 4 24,398,835 2.23
7. refer refer
referred
refers 		Verb 6 1.87 7.24 14.61 0.53 5 16,392,169 3.32
8. might might Verb 12 1.67 8.12 5.45 0.58 7 15,557,890 3.49
9. may may Verb 17 1.26 8.7 2.29 0.72 13 6,739,386 8.07
10. understand understand
understanding 		Verb 5 1.19 5.74 3.01 0.34 3 27,073,151 2.01
11. give gave
give
given
giving 		Verb 13 -0.03 7.39 0 0.7 11 8,318,420 6.53
12. use use
used
using 		Verb 6 -2.73 4.09 3.56 0.53 5 12,865,959 4.23
13. make made
make
makes
making 		Verb 11 -3.31 5.92 5.58 0.68 10 8,417,662 6.46
14. can can Verb 14 -3.6 6.64 6.75 0.69 11 10,961,384 4.96
15. take taken
takes 		Verb 5 -5.9 2.78 9.71 0.48 4 22,629,155 2.4
16. will will Verb 8 -6.79 4.23 13.86 0.51 5 16,513,043 3.29
17. would would Verb 8 -8.01 4.06 17.15 0.57 6 16,853,130 3.23
18. say said
say
says 		Verb 7 -9.91 3.37 21.24 0.58 6 12,592,322 4.32
19. do did
do
does 		Verb 16 -9.99 6.19 29.82 0.62 9 13,366,024 4.07
20. be 's
are
be
been
being
is
was
were 		Verb 242 -12.13 15.01 123.92 0.72 44 1,964,328 27.67
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