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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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MI3
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R
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# Collocate POS A TTEST MI3 CHISQ JD R AWT fAWT Details Equivalents
1. be 'm
're
am
are
be
been
being
is
was
were 		Verb 142 -12.35 13.27 112.21 0.83 45 2,007,434 27.08
2. do did
do
does
doing
done 		Verb 13 -6.81 5.87 16.79 0.64 9 14,112,773 3.85
3. have 've
had
has
have 		Verb 49 -5.8 10.36 20.51 0.76 26 3,704,404 14.67
4. make made
make
making 		Verb 5 -4.36 3.08 6.56 0.56 5 16,801,199 3.24
5. get get
getting
got 		Verb 6 -3.67 3.85 5.49 0.53 5 13,784,515 3.94
6. say said
say
says 		Verb 16 -1.57 7.52 1.83 0.61 9 13,478,778 4.03
7. find find
found 		Verb 5 -0.78 4.21 0.45 0.48 4 26,844,666 2.02
8. can ca
can 		Verb 16 -0.61 7.79 0.33 0.74 14 6,814,037 7.98
9. take take
taken
taking
took 		Verb 12 -0.06 7.14 0 0.73 12 7,496,854 7.25
10. must must Verb 5 0.03 4.67 0 0.56 5 18,549,877 2.93
11. give gave
give
given
gives
giving 		Verb 9 0.06 6.37 0 0.68 9 12,027,209 4.52
12. would would Verb 21 0.09 8.81 0.01 0.64 11 7,406,844 7.34
13. could could Verb 12 0.21 7.26 0.05 0.7 11 14,332,928 3.79
14. will will
wo 		Verb 21 0.6 8.99 0.42 0.71 15 9,520,903 5.71
15. should should Verb 11 1 7.44 1.45 0.61 8 20,532,105 2.65
16. buy buy
buying 		Verb 5 1.45 6.15 5.99 0.56 5 14,667,718 3.71
17. pass pass
passed
passes
passing 		Verb 5 1.62 6.51 9.66 0.56 5 17,090,552 3.18
18. help help
helping 		Verb 8 1.82 7.49 9.35 0.61 7 14,257,142 3.81
19. force force
forced
forcing 		Verb 5 1.89 7.34 23.27 0.56 5 14,423,616 3.77
20. wish wish
wishing 		Verb 6 1.98 7.55 20.4 0.53 5 14,169,340 3.84
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